User Experience Modeling Method for a Vision of Knowledge Graph-based Process Automation

This research proposes a User Experience modelling method which is an early-stage component of a research project’s vision of innovating Robotic Process Automation with the help of Knowledge Graphs and Natural Language Processing. The core idea is to integrate, in RDF graphs, a representation of the user experience and contextual information about the organization and relevant data sources for that experience. Existing RPA tools use workflow repositories that employ XML-based descriptions for both processes and UI elements. They also provide built-in workflow designers that are not tailored for design-time analysis (e.g., model queries, reporting, reasoning) but instead are just raising the abstraction level of traditional scripting – from writing code to visually connecting pre-programmed pieces of functionality. The proposal detailed in this paper makes use of Domain-Specific Modeling Language engineering to repurpose an open source BPMN implementation for describing User Experience. We rely on a metamodeling platform to ensure that the resulting diagrams are also machine-readable and take advantage of an existing plug-in to make them available as RDF graphs that can be used by other components of an automation architecture. The paper focuses on the modelling method and tool as one of the early steps of the project’s vision

From BPMN Models to Labelled Property Graphs

There\u27s a growing interest in leveraging the structured and formal nature of business process modeling languages in order to make them available not only for human analysis but also to machine-readable knowledge representation. Standard serializations of the past were predominantly XML based, with some of them seemingly discontinued, e.g., XPDL after the dissolution of the Workflow Management Coalition. Recent research has been investigating the interplay between knowledge representation and business process modeling, with the focus typically placed on standards such as RDF and OWL. In this paper we introduce a converter that translates the standards-compliant BPMN XML format to Neo4J labelled property graphs (LPG) thus providing an alternative to both traditional XML-based serialization and to more recent experimental RDF solutions, while ensuring conceptual alignment with the standard serialization of BPMN 2.0. A demonstrator was built to highlight the benefits of having such a parser and the completeness of coverage for BPMN models. The proposal facilitates graph-based processing of business process models in a knowledge intensive context, where procedural knowledge available as BPMN diagrams must be exposed to machines and LPG-driven applications

Comparative analysis of web-based machine learning models

This paper presents a comparative analysis of web-based machine learning models, specifically examining Google Vertex AI, Google Teachable Machine, Azure Machine Learning and Salesforce Einstein Vision. The objective is to assess their suitability for integration into a medical information system as a classification module for medical images. The comparative evaluation considers factors such as model accuracy, ease of integration and scalability. The findings aim to guide the selection of an optimal machine learning solution for enhancing the capabilities of medical image classification within a healthcare context

Empowering Healthcare: A Comprehensive Guide to Implementing a Robust Medical Information System—Components, Benefits, Objectives, Evaluation Criteria, and Seamless Deployment Strategies

In the ever-evolving landscape of healthcare, the implementation of a robust medical information system stands as a transformative endeavor. This article serves as a comprehensive guide, delineating the intricate steps involved in deploying an effective medical information system. Delving into the main components that constitute this innovative system, we explore its fundamental architecture and how each element contributes to seamless information flow. The benefits of adopting a medical information system are highlighted, emphasizing improved patient care, streamlined processes, and enhanced decision making for healthcare professionals

Advancements in Healthcare: Development of a Comprehensive Medical Information System with Automated Classification for Ocular and Skin Pathologies—Structure, Functionalities, and Innovative Development Methods

This article introduces a groundbreaking medical information system developed in Salesforce, featuring an automated classification module for ocular and skin pathologies using Google Teachable Machine. Integrating cutting-edge technology with Salesforce’s robust capabilities, the system provides a comprehensive solution for medical practitioners. The article explores the system’s structure, emphasizing innovative functionalities that enhance diagnostic precision and streamline medical workflows. Methods used in development are discussed, offering insights into the integration of Google Teachable Machine into the Salesforce framework. This collaborative approach is a significant stride in intelligent pathology classification, advancing the field of medical information systems and fostering efficient healthcare practices

PREVALENCE AND ENDODONTIC MANAGEMENT OF SEPARATED INSTRUMENTS INSIDE THE ROOT CANAL

Separated instruments represent one of the procedural mishaps during endodontic treatment. Left unadressed, this complex situation may jeopardize the long term prognosis of root canal treatment. Clinical management depends on multiple factors. The options for approaching these situations are: removal of the fractured segment, bypassing and sealing the fragment within the root canal space. The aim of our study is to demonstrates the value of endodontic treatment in the successful management of these conditions and its contribution to complex oral rehabilitation

The Management of Hypertensive Emergencies—Is There a “Magical” Prescription for All?

Hypertensive emergencies (HE) represent high cardiovascular risk situations defined by a severe increase in blood pressure (BP) associated with acute, hypertension mediated organ damage (A-HMOD) to the heart, brain, retina, kidneys, and large arteries. Blood pressure values alone do not accurately predict the presence of HE; therefore, the search for A-HMOD should be the first step in the management of acute severe hypertension. A rapid therapeutic intervention is mandatory in order to limit and promote regression of end-organ damage, minimize the risk of complications, and improve patient outcomes. Drug therapy for HE, target BP, and the speed of BP decrease are all dictated by the type of A-HMOD, specific drug pharmacokinetics, adverse drug effects, and comorbidities. Therefore, a tailored approach is warranted. However, there is currently a lack of solid evidence for the appropriate treatment strategies for most HE. This article reviews current pharmacological strategies while providing a stepwise, evidence based approach for the management of HE

Genetic diversity of the stag beetle, Lucanus cervus (Insecta, Coleoptera) in Romania based on ND1 mitochondrial sequences

Lucanus cervus (Linnaeus, 1758) is one of the largest Coleoptera species in Europe and one of the most recognizable. It is a saproxylic species living in woodlands and wooded urban habitats and spending its larval stages inside tree trunks below or near soil level, feeding on decaying wood. The stag beetle has a wide distribution covering the entire Europe up to the Ural Mountains. In this paper, we attempted to describe the diversity and genetic structure of L. cervus populations in Romania using the NADH mitochondrial molecular marker. We identified 36 haplotypes arranged in a star-shaped structure with a central haplotype shared by many samples and linked by one or two mutational steps with other 35, represented by 1–3 samples. This pattern is frequently attributed to populations that have undergone recent range expansion, a phenomenon which is also sustained by the mismatch analysis. The analyzed populations revealed various degrees of genetic diversity. Many populations with relatively high levels of genetic diversity were found outside the Natura 2000 Network Special Areas of Conservation, while some populations included in protected areas proved to have low values of genetic variability. This underlines the need to review the designated protection sites for this species in Romania

The Importance of Implementing a Transition Strategy for Patients with Muscular Dystrophy: From Child to Adult—Insights from a Tertiary Centre for Rare Neurological Diseases

Progress in the field of muscular dystrophy (MD) using a multidisciplinary approach based on international standards of care has led to a significant increase in the life expectancy of patients. The challenge of transitioning from pediatric to adult healthcare has been acknowledged for over a decade, yet it continues to be a last-minute concern. Currently, there is no established consensus on how to evaluate the effectiveness of the transition process. Our study aimed to identify how well patients are prepared for the transition and to determine their needs. We conducted a descriptive, cross-sectional study on 15 patients aged 14 to 21 years. The patients completed a sociodemographic and a Transition Readiness Assessment Questionnaire (TRAQ). We also analyzed the comorbidities of these patients. Our study revealed that only 46.7% of the patients had engaged in a conversation with a medical professional, namely, a child neurologist, about transitioning. A total of 60% of the participants expressed having confidence in their self-care ability. However, the median TRAQ score of 3.6 shows that these patients overestimate themselves. We emphasize the necessity for a slow, personalized transition led by a multidisciplinary team to ensure the continuity of state-of-the-art care from pediatric to adult healthcare services and the achievement of the highest possible quality of life for these patients