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A napjaink többnemzeti műveleteiben részt vevő, kormányzati és más (nem kormányzati) szervezetekkel együttműködő katonai szervezetek eredményes működésének folyamatosan növekvő jelentőségű feltétele rendszereik interoperabilitása. A NATO katonai informatikai rendszerek fejlesztése, interoperabilitási képességeik megvalósítása és fenntartása a Szövetségi Műveleti Hálózat (FMN) keretrendszer interoperabilitási követelményei figyelembevételével történik. Bár az újrafelhasználható szoftverkomponensekre épülő fejlesztés csökkenti a fejlesztések időtartamát és költségeit, növeli az interoperabilitási képességek minőségét, ilyen komponensek a NATO vezetési és irányítási rendszerek esetében nem állnak rendelkezésre, kérdéseikkel a katonai szakirodalom sem foglalkozik. Jelen publikáció célja, hogy igazolja azt a hipotézist, miszerint vannak olyan – a NATO FMN követelményekben szereplő – interoperabilitási funkciók, amelyek megvalósíthatók újrafelhasználható szoftverkomponensek formájában. Célja összegezni az újrafelhasználható interoperabilitási komponensek fogalmi alapjait, feltárni főbb típusaikat, összevetve a kapcsolódó NATO-dokumentumokkal, és meghatározni az egyes típusok rendeltetését, főbb jellemzőit.

The population of cities is increasing rapidly day by day, and it is predicted that this increase will continue in the following years. Accordingly, population growth creates a significant pressure in many different domains of cities such as infrastructure, traffic, energy, and environment. Smart cities come forward as a useful option to struggle with the pressure on cities caused by overwhelming population growth and to make cities liveable and sustainable. Smart city approach creates gains in the fields of sustainable development, competitiveness and environmental sustainability with its ability to transform information into economic, social and environmental benefits. However, smart city services and applications are mostly designed as independent and unrelated units so this approach causes isolated and heterogeneous data and technology islands. As the result, data flow problem occurs between vertical applications and service suppliers, and this interoperability problem causes emergence of independent silos in smart cities. Such silos hinders data integration, prevent citizens and public administrations benefit fully from smart cities, and cause vendor lock-in. In order to use the full potential of smart city approach, it’s vital to secure interoperability systems and applications of smart cities. In this study, interoperability terms and their necessity for smart city ecosystem will be addressed. Afterwards, Smart City Interoperability Model’s (SCIM) contributions to semantic, technical and operational interoperability will be discussed.

Interoperability stands as a critical hurdle in developing and overseeing distributed and collaborative systems. Thus, it becomes imperative to gain a deep comprehension of the primary obstacles hindering interoperability and the essential criteria that systems must satisfy to achieve it. In light of this objective, in the initial phase of this research, we conducted a survey questionnaire involving stakeholders and practitioners engaged in distributed and collaborative systems. This effort resulted in the identification of eight essential interoperability requirements, along with their corresponding challenges. Then, the second part of our study encompassed a critical review of the literature to assess the effectiveness of prevailing conceptual approaches and associated technologies in addressing the identified requirements. This analysis led to the identification of a set of components that promise to deliver the desired interoperability by addressing the requirements identified earlier. These elements subsequently form the foundation for the third part of our study, a reference architecture for interoperability-fostering frameworks that is proposed in this paper. The results of our research can significantly impact the software engineering of interoperable systems by introducing their fundamental requirements and the best practices to address them, but also by identifying the key elements of a framework facilitating interoperability in Systems of Systems.

Evidence-based medicine (EBM) has the potential to improve health outcomes, but EBM has not been widely integrated into the systems used for research or clinical decision-making. There has not been a scalable and reusable computer-readable standard for distributing research results and synthesized evidence among creators, implementers, and the ultimate users of that evidence. Evidence that is more rapidly updated, synthesized, disseminated, and implemented would improve both the delivery of EBM and evidence-based health care policy. This study aimed to introduce the EBM on Fast Healthcare Interoperability Resources (FHIR) project (EBMonFHIR), which is extending the methods and infrastructure of Health Level Seven (HL7) FHIR to provide an interoperability standard for the electronic exchange of health-related scientific knowledge. As an ongoing process, the project creates and refines FHIR resources to represent evidence from clinical studies and syntheses of those studies and develops tools to assist with the creation and visualization of FHIR resources. The EBMonFHIR project created FHIR resources (ie, ArtifactAssessment, Citation, Evidence, EvidenceReport, and EvidenceVariable) for representing evidence. The COVID-19 Knowledge Accelerator (COKA) project, now Health Evidence Knowledge Accelerator (HEvKA), took this work further and created FHIR resources that express EvidenceReport, Citation, and ArtifactAssessment concepts. The group is (1) continually refining FHIR resources to support the representation of EBM; (2) developing controlled terminology related to EBM (ie, study design, statistic type, statistical model, and risk of bias); and (3) developing tools to facilitate the visualization and data entry of EBM information into FHIR resources, including human-readable interfaces and JSON viewers. EBMonFHIR resources in conjunction with other FHIR resources can support relaying EBM components in a manner that is interoperable and consumable by downstream tools and health information technology systems to support the users of evidence.

En este artículo se presenta una herramienta de trabajo que permite la automatización de las tareas necesarias para la conversión de un XML-JATS, producto de la herramienta de marcado de RedALyC y AmeliCA, al formato de XML-JATS utilizado por SciELO Argentina para la ingesta de revistas a su plataforma.

The shop floor or factory floor is the area inside a factory where manufacturing production is executed. The digitalisation of this area has been increasing in the last few years, introducing the Digital Twin (DT) and the Industry 4.0 concepts. A DT is the digital representation of a real object or an entire system. A DT includes a high diversity of components from different vendors that need to interact with each other efficiently. In most cases, the development of standards and protocols does not consider the need to operate with other standards and protocols, causing interoperability issues. Transducers (sensors and actuators) use the communication layer to exchange information with digital contra parts, and for this reason, the communication layer is one of the most relevant aspects of development. This paper covers DT development, going from the physical to the visualisation layer. The reference architecture models, standards, and protocols focus on interoperability to reach a syntactic level of communication between the IEEE 1451 and the IEC 61499 standards. A semantic communication layer connects transducer devices to the digital representation, achieving a semantic level of interoperability. This communication layer adds semantics to the communication process, allowing the development of an interoperable DT based on the IEEE 1451 standards. The DT presented reaches the syntactic and semantic levels of interoperability, allowing the monitoring and visualisation of a prototype system.

Following the proposal by Tsafnat et al (2024) to converge on three open health data standards, this viewpoint offers a critical reflection on their proposed alignment of openEHR, Fast Health Interoperability Resources (FHIR), and Observational Medical Outcomes Partnership (OMOP) as default data standards for clinical care and administration, data exchange, and longitudinal analysis, respectively. We argue that open standards are a necessary but not sufficient condition to achieve health data interoperability. The ecosystem of open-source software needs to be considered when choosing an appropriate standard for a given context. We discuss two specific contexts, namely standardization of (1) health data for federated learning, and (2) health data sharing in low- and middle-income countries. Specific design principles, practical considerations, and implementation choices for these two contexts are described, based on ongoing work in both areas. In the case of federated learning, we observe convergence toward OMOP and FHIR, where the two standards can effectively be used side-by-side given the availability of mediators between the two. In the case of health information exchanges in low and middle-income countries, we see a strong convergence toward FHIR as the primary standard. We propose practical guidelines for context-specific adaptation of open health data standards.