bluuebunny/crossref_metadata_2025 huggingface dataset:
Telemedicine in Diagnosis, Treatment and Management of Diseases in Children
Authors: Sheikhtaheri Abbas  , Kermani Farzaneh
Published: February 2025

The purpose of this study was to review different telemedicine services in diagnosis, treatment and management of various children diseases and providing an overview of systematic reviews conducted in this regard. We searched English articles published in peer-reviewed journals between 2000 to 2016. We found that tele-pediatric services have been reported in various areas such as cardiology, burn, diabetes, obesity, emergency medicine, speech and hearing loss, Ear, Nose and Throat, psychology and psychiatry, radiology, oncology, home healthcare, asthma, genetics and dentistry. These studies mainly reported positive results. However, systematic reviews in tele-pediatric showed that these studies have not proven the clinical effectiveness or suggested further studies to assess the clinical outcomes of services provided through telemedicine technologies.
Exporting Data from a Clinical Data Warehouse
Authors: Fette Georg  , Kaspar Mathias  , Liman Leon  , Dietrich Georg  , Ertl Maximilian  , Krebs Jonathan  , Störk Stefan  , Puppe Frank
Published: February 2025

Data Warehouses (DW) are useful tools to support clinical studies as they can provide exports of routine care data for scientific reuse. Exported DW data is usually post-processed and integrated into study databases by study staff that is reasonably trained in specific tools like SPSS and Excel but which are no programmers or computer scientists. DW systems should therefore be configurable to satisfy export format desiderata as much as possible so that exports contain no unnecessary post-processing obstacles. In the presented work the authors analyze various existing DW systems in respect to a list of potential export formats.
Using Activity Theory as a Framework for the Usability Evaluation Process and Task Determination in mHealth Self-Management Systems for Diabetes
Authors: Georgsson Mattias
Published: February 2025

mHealth systems can be used for patients in their diabetes self-management, but usability evaluations are often needed to determine how to make them more useful for the diabetes patient user in the monitoring and managing of their disease. Activity Theory (AT) was developed within Russian psychology to define the work and activity process in an activity system. AT was here considered to also be a particularly suitable framework for inspiration in usability evaluation both for the whole evaluation process and also for the usability task determination in this process for diabetes patient users. In the following paper, examples are provided from four usability studies using both user-based and expert usability methods in evaluation showing how AT was applied to guide the thoughts in evaluating the usability of two mHealth self-management systems for diabetes. Experiences and insights are provided from this process.
The Role of Axiomatically-Rich Ontologies in Transforming Medical Data to Knowledge
Authors: Brochhausen Mathias  , Bona Jonathan  , Blobel Bernd
Published: February 2025

In the biomedical domain, there exist a number of common data models (CDM) that have experienced wide uptake. However, none of these has emerged as the common model. Recently, the demand for integrating and analyzing increasingly large data sets in clinical and translational research has led to numerous efforts to harmonize existing CDMs and integrate data curated based on those models. These efforts raise the question of how to appropriately represent the semantics of data, and, furthermore, they highlight the fact that quite often different groups have greatly different definitions of ‘semantics’. The question of how to formally assure that mappings between CDMs are correct is often overlooked. The answer to these challenges lies in using axiomatically-rich ontologies that allow verifying that terms refer to the same set of entities using automatic inference. This verification is only possible by building ontologies that represent the content of the scientific disciplines in accordance with the reality of the domain of the disciplines. Organizing and managing the development of numerous orthogonal domain-specific ontologies would benefit from using an Architecture Reference Model, that helps keeping the relationships consistent within each domain and ensure that appropriate inter-domain relationships are defined. This paper will explore how a strong logical representation of the scientific domain does not only foster harmonization of CDMs, but also informs and facilitates the transition from data over information to knowledge.
At-Sea NATO Operational Experimentation with Interoperable Underwater Assets Using Different Robotic Middlewares
Authors: Costanzi Riccardo  , Fenucci Davide  , Manzari Vincenzo  , Micheli Michele  , Morlando Luca  , Natale Daniele  , Stifani Mirko  , Tesei Alessandra  , Caiti Andrea
Published: February 2025

Autonomous Underwater Vehicles (AUVs) are offering new capabilities for a wide range of military and civilian applications. The interoperability of heterogeneous AUVs with different skills is critical to accomplish such complex tasks. Indeed, the proliferation of AUVs with their own mission control interface and communications protocol makes it difficult to operate them within operational experimentations, which requires joint management and coordination. This problem was approached in the preparation of the ASW-ODC17 (Anti Submarine Warfare - Operational Deployment of Concepts) sea trial, which, among its objectives, aimed to demonstrate the interoperability of an external AUV (the Folaga WAVE) within the CMRE heterogeneous robotic network during a NATO operational exercise in ASW. The different hardware and software architectures were integrated by configuring an asset of the CMRE network (a gateway buoy) to act as a bridge between the two robotic systems. All the AUVs were successfully operated during the joint NATO exercise through the same mission control station, unconcerned by differences in acoustic modems and robotic middleware.
Italian Navy Future Fleet – Analysis on on Board Electrical System and Cold Ironing
Authors: Cataneo Michele  , Lipardi Gennaro
Published: February 2025

Shore Connection has become a topic of huge technical interest both for merchant ships and for military ships. The Navy's fleet renewal program offers the opportunity to reconsider this aspect within the main naval bases of the Italian peninsula. In particular, the presentation analyzes the overhaul project of Stazione Navale Mar Grande's electrical system in Taranto with the aim to be ready to host the future fleet in 2027. It is proposed a working methodology to optimize the final result for several future scenarios in order to guarantee the maximum flexibility and interchangeability for the mooring and shore connection services that will be provided for different ship sizes and electrical power levels. Finally, further improvements in the electricity grid are considered (potential “spin off”), such as energy efficiency systems, green energy sources and distributed cogeneration integrations to meet the need and to gain the desired load shaving.
Hybrid Life-Saving Appliances: A Novel Evacuation-System Concept Solution
Authors: Sancin Gabriele
Published: February 2025

This paper explores the benefits and challenges associated with the installation of a “Hybrid Evacuation System” (hereinafter “HES”), also so-called “Alternative Evacuation System” (hereinafter “AES”), in lieu of traditional survival crafts on a modern passenger ship covering three different configurations and layouts (full HES, HES and liferafts, HES and liferafts and lifeboat or Tenders). The discussion will include a detailed insight into the regulatory framework governing design. It will also address the considerations for operation, maintenance and survey of the asset throughout its life. This paper will assist the overall maritime community in further understanding this disruptive innovation.
Ontologies' Definition for Modeling the Cabin Comfort on Cruise Ships
Authors: Spoladore Daniele  , Arlati Sara  , Nolich Massimiliano  , Carciotti Sara  , Rinaldi Alessandro  , Celotti D.  , Guglia P.
Published: February 2025

The evolution of sea cruiser research considers the possibility to provide more comfortable cabins to the passengers. This goal can be achieved by providing the sea cruiser with the possibility to acquire, manage, and reason over data deriving from the cabin environment, its passengers, and their activities. A promising approach to deal with the information belonging to these domains is represented by Semantic Web technologies, in particular the exploitation of ontologies. The use of these technologies can provide, from the one hand, a sound model of the comfort metrics to be enforced inside the cabin, while on the other hand it leverages the exploitation of reasoning processes in order to adjust comfort metrics to passengers' desires. This work describes a set of domain ontologies developed to address these purposes; starting from a motivating scenario, the paper illustrates how domain knowledge can be modelled to take into account the passenger's desires, limits and activities in relation to the comfort metrics provided by the cabin. Furthermore, the work provides some examples on how reasoning processes can infer new knowledge and provide changes in the cabin environment.
Elements for an Ontology of Care in the Field of Artificial Intelligence
Authors: González Aguña Alexandra  , Fernández Batalla Marta  , Cercas Duque Adriana  , Herrero Jaén Sara  , Monsalvo San Macario Enrique  , Jiménez Rodríguez Ma Lourdes  , Santamaría García José Ma  , Ramírez Sánchez Sylvia Claudine  , Vialart Vidal Niurka  , Condor Camara Daniel Flavio
Published: February 2025

An ontology of care is a formal, explicit specification of a shared conceptualization. Constructing an ontology is a process that requires four elements: knowledge object, subject that knows, knowledge operation and result. These elements configure theframework to generate ontologies that can be used in Artificial Intelligence systems for care.
Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning Methods
Authors: Mahajan Satish M.  , Mahajan Amey S.  , King Robert  , Negahban Sahand
Published: February 2025

Decades-long research efforts have shown that Heart Failure (HF) is the most expensive diagnosis for hospitalizations and the most frequent diagnosis for 30-day readmissions. If risk stratification for readmission of HF patients could be carried out at the time of discharge from the index hospitalization, corresponding appropriate post-discharge interventions could be arranged to avoid potential readmission. We, therefore, sought to explore and compare two newer machine learning methods of risk prediction using 56 predictors from electronic health records data of 1778 unique HF patients from 31 hospitals across the United States. We used two approaches boosted trees and spike-and-slab regression for analysis and found that boosted trees provided better predictive results (AUC: 0.719) as compared to spike-and-slab regression (AUC: 0.621) in our dataset.
The Study of Hotspots on Nursing Dissertation Based on Co-Word Analysis in China
Authors: Zhang W.  , Xing Y.N.  , Cheng J.  , Duan H.M.
Published: February 2025

All the doctoral dissertations and master's theses of “nursing” in CNKI database were retrieved to explore the hot spots on nursing research field in China, we processed, visualized the data above, and analyzed those data by using co-word analysis informetrics method. Then, the figure for co-occurrence analysis of high-frequency keywords in dissertation on nursing research were plotted, which represented nine topics and could help health staff to understand hot topics in nursing research field.
What Do Patients and Experts Want in a Smartphone-Based Application to Support Tuberculosis Treatment Completion?
Authors: Iribarren Sarah  , Demiris George  , Lober Bill  , Chirico Cristina
Published: February 2025

A mobile application to support individuals receiving treatment for active tuberculosis (TB) by self-administration is being developed with TB experts and patients in active TB treatment using agile development methods to meet the needs of endusers.
Electronic Library of Instituto Superior Politécnico de Malanje, University Luije A'Nkonde in Angola Popular Republic
Authors: Cuesta García Yoadis
Published: February 2025

The poster presents qualitative research orientated to develop the electronic library to support the learning process at Instituto Superior Politécnico de Malanje in Angola. The logical methods was used to analyse diversities educationals sources. All the bibliographies were saved into a Management Content System. Resources like software and videos have been developed for use in the physical library of this institute.
Analysis of a Locally Controlled Vocabulary in an Electronic Health Records for Evidence-Based Inpatient Fall-Prevention Care
Authors: Chae Jisun  , Cho Insook  , Yoo Ahra  , Kim Yeonhee
Published: February 2025

A local controlled vocabulary provides a way to organize nursing documentation in electronic health record systems. However, a such vocabulary may not be always linked to standard nursing terminology or standard content. We explored a local nursing vocabulary set used in inpatient fall-prevention care at a large academic hospital with the aim of identifying if the standard nursing care was covered.
An Individual Patient Outcome Tool for Joint Replacement Patients
Authors: Ellison Peter  , Høl Paul John  , Babic Ankica
Published: February 2025

Patient specific forecasting tools are an area of active research and very much seen as a necessary tool for future improvements in healthcare. In order to succeed with decision making tools, fine-grained data are required to build models relevant and valid at an individual level. Location and assemble of data to build such tools is not trivial. Even then the ability to perform accurate predictions is not guaranteed. This study outlines a method to integrate existing data sources to base predictions on. A key benefit of the method is the minimal extra burden on the patient and the healthcare system. A pilot study is performed to implement the system architecture on data from total knee arthroplasty. Output from the system is presented using web technologies. In doing so, the viability of the method to implement a tool for the prediction of pre-operative and post-operative follow-up is demonstrated. Future steps will include testing and deployment of the system.
Survival Models in Computer Virus
Authors: Zimeras Stelios  , Diomidous Marianna
Published: February 2025

During the communication between various computer system parts under a basic unit various threats can appear causing different damages into the system. The spreading of the computer virus into the system must be investigated under modeling analysis and simulations must be applied. In this work survival analysis models have been introduced to overcome the problem with the computer virus. During that process of spreading two main considerations analyzed: (1) the epidemiological models of the spreading and (2) the survival of the computer virus inside the system under mathematical modeling.
A Medical Decisions Support System in Diagnosis of the Jejunum and Ileum Neoplastic Diseases (Tumors) Based on Video Capsule Endoscopy
Authors: Budykina Anna  , Rauzina Svetlana  , Zarubina Tatiana  , Seleznev Denis  , Fedorov Evgeniy  , Ivanova Ekaterina
Published: February 2025

Search of tumors in video capsule endoscopy (VCE) record in some cases presents significant difficulties even for experienced specialist. We made an attempt to develop rules supporting clinical decision for processing of VCE images. An algorithm for assessment of neoplastic diseases of the jejunum and ileum on the basis of VCE to support tactical decision-making of doctors was conducted. The algorithm was implemented as a software module “The conclusion in a capsule” with integrated development environment Visual Studio and the programming language C#.
Representation of ICD-10-AM/ACHI Using Classification Markup Language (ClaML)
Authors: Smith Robert David  , Ginige Jeewani Anupama  , Boulamatsis Christos
Published: February 2025

This paper outlines the Australian experience in adopting the Classification Markup Language (ClaML) to represent two clinical classification systems: ICD-10-AM (International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Australian Modification) and ACHI (Australian Classification of Health Interventions). The primary goal of this process is to share classification data efficiently with relevant parties in a consistent format. This paper outlines extensions implemented in ClaML to facilitate the representation of the above classifications, with validation of the resulting ClaML files verified through XML stylesheet transformation (XSLT) to render the data on a browser, in the same format of printed ICD-10-AM and ACHI books.
A Method to Use Metadata in Legacy Web Applications: The Samply.MDR.Injector
Authors: Kern Jori  , Tas Deniz  , Ulrich Hannes  , Schmidt Esther E.  , Ingenerf Josef  , Ückert Frank  , Lablans Martin
Published: February 2025

Whenever medical data is integrated from multiple sources, it is regarded good practice to separate data from information about its meaning, such as designations, definitions or permissible values (in short: metadata). However, the ways in which applications work with metadata are imperfect: Many applications do not support fetching metadata from externalized sources such as metadata repositories. In order to display human-readable metadata in any application, we propose not to change the application, but to provide a library that makes a change to the user interface. The goal of this work is to provide a way to “inject” the meaning of metadata keys into the web-based frontend of an application to make it “metadata aware”.
Removable Visible Watermarking System for Video Sequences
Authors: Rangel-Espinoza Kevin  , Cruz-Ramos Clara  , Nakano Mariko  , Reyes-Reyes Rogelio  , Perez-Meana Hector
Published: February 2025

This paper proposed a removable visible watermark system for video sequences using dual watermarking technique, embedding both visible and invisible watermarks into the video sequence. The visible watermark is embedded into every frame of the video sequence in the Discrete Cosine Transform (DCT) domain, considering the Human Visual System (HVS) model. The invisible watermark is embedded into every intra-frame during the MPEG encoding, using the Quantization Index Modulation-Dither Modulation (QIM-DM) technique. In the proposed scheme, two user's keys are introduced to ensure that only authorized users can remove the visible watermark to obtain clear video sequence. The experimental results show the desirable performance of the proposed scheme, in which unauthorized users cannot remove the visible watermark. The process is carried out through a totally blind manner without any extra information.
Change Detection for Video Sequences Based on Incremental Subspace Learning
Authors: Portillo-Portillo Jose  , Hernandez-Sanabria Blas  , Perez-Meana Hector  , Sanchez-Perez Gabriel  , Toscano-Medina Karina  , Olivares-Mercado Jesus  , Nakano-Miyatake Mariko  , Castro-Madrid L. Carlos  , Sanchez-Silva Victor
Published: February 2025

This paper proposes a novel methodology for change detection in video sequences, which consists in the use of projection of the first eigenvector over the current frame in the video sequence. These eigenvectors are computed using the Incremental Principal Component Analysis (IPCA), assuming that the incremental computation of the eigenvalues and eigenvectors is made using the incremental block approach considering only two frames i.e. the past and the current frames in each incremental block. The main contribution of this work, is the use of the idea that the first eigenvector projects the maximum variability in their data matrix and then by using the incremental block of two frames in the IPCA, the maximum variability in those images could be considered as the change between them; such that after the post-processing in the projected matrix, we are able to labeled the change between the past and the current frames.
Towards an Ontology of Religious and Spiritual Belief
Authors: Schulz Stefan  , Jansen Ludger
Published: February 2025

Realist ontologies claim to represent what exists. However, human behaviour and culture is deeply influenced by religious and spiritual belief, whose veracity is highly controversial. Such beliefs are nevertheless known to have substantial impact on well-being, social behaviour, health and disease. It is therefore desirable to be able to represent beliefs within a principled ontology using the Web Ontology Language (OWL) as a standardised representation language. This paper demonstrates how a realist ontology, expressed in description logics, can deal with such entities without requiring consensus about their existence in reality. We present several ontology design patterns which allow for taxonomically arranging elements of religious or spiritual belief systems. This provides a framework on which data on particular beliefs can be better standardised for research in humanities, social research and life sciences.
A Speech Sound Disorder Screening System Database Structure
Authors: Mahmut Emilian Erman  , Stoicu-Tivadar Vasile
Published: February 2025

This paper makes a brief review of several database structures of Computer-Based Speech Therapy (CBST) systems and solutions and describes the screening method, an experimental study conducted to validate the screening algorithm and a database structure for the Information Entropy-Based Sound Speech Disorder (SSD) Screening System aimed at by our research project. The final part briefly presents the essential design criteria and further development.
Team Competencies and Educational Threshold Concepts for Clinical Information Modelling
Authors: Scott Philip J.  , Heitmann Kai U.
Published: February 2025

Healthcare interoperability depends upon sound semantic models to support safe and reliable exchange of information. We argue that clinical information modelling requires a collaborative team of healthcare professionals, process and content analysts and terminologists and that ‘separation of concerns’ is unhelpful. We present six fundamental concepts that participants must understand to collaborate meaningfully in technology-agnostic information modelling.
Universal Design Engineering
Authors: Edyburn Keith  , Edyburn Dave
Published: February 2025

Many teachers, administrators, professors, content developers, and publishers espouse a personal commitment to the principles of universal design for learning, yet, there is little evidence that they can design interventions that enhance accessibility or meaningful engagement in learning. In this paper the authors argue that the field can readily be advanced through the application of engineering models. A universal design engineering model known as Design for More Types will be introduced, including a taxonomy of specific design interventions that can be implemented to enhance the accessibility and usability of educational materials. Nine case studies will be presented to assist developers, researchers, and practitioners in operationalizing universal design concepts into active ingredients that can be carefully defined, measured, and evaluated.
Spatial (E)quality from a User Perspective
Authors: Sørensen Overby René
Published: February 2025

Universal Design (UD) has gained global significance and is in the process of being interpreted and institutionalised in the Nordic Region. Hence a broader understanding of the theoretical basis and practical architectural applicability of UD is advancing.
Studying Older People with Visual Impairments Using Mainstream Smartphones with the Aid of the EziSmart Keypad and Apps
Authors: Fuglerud Kristin S.  , Chan Richard  , Sørli Hilde T.
Published: February 2025

This paper reports on a study of older people with visual impairments learning to use a mainstream smartphone with touchscreen. The aim of the study was to evaluate whether the EziSmart solution could facilitate the use of a standard off-the-shelf smartphone, and thus stimulate more social contact and digital participation for this group. The EziSmart solution consists of Ezi-Pad and Ezi-Smart Apps. The Ezi-Pad is a flip-casing with a receptacle for the smartphone. When the casing is flipped open it reveals an integrated keyboard with large ergonomic physical keys. The smartphone and the Ezi-Pad keyboard communicate via Bluetooth. The Ezi-Smart Apps is a set of Android applications including a startpage (launcher), an app organizer and several other features. Six visually impaired adults, aged 63 to 80 years received a five day course in using a smartphone together with the EziSmart solution. The participants were observed during the course. They were then followed up during a two month period. The participants and their relatives were interviewed about their smartphone use, experiences and expectations before the training started, and after the follow up period ended. We discuss challenges that older people with visual impairment face when trying to learn and use a smartphone. We then report on the usability and accessibility of the Ezi-Pad solution, describe the course and the experiences of the participants, and reflects upon how both the EziSmart solution and smartphone training could be improved with regard to this user group.
A Mobile Application for Supporting Dementia Relatives: A Case Study
Authors: Halbach Till  , Solheim Ivar  , Ytrehus Siri  , Schulz Trenton
Published: February 2025

This work presents DILP, a project and solution for caregivers and relatives of persons with dementia. The app aims at providing help on demand and covers topics like medical and psychological issues, communication, legal and financial issues, practical advice for everyday challenges, and more. The technology is explained in detail, and special attention is given to the user-centered development and content authoring. The final solution was tested in the field by relatives of persons with dementia and health workers with many encouraging results regarding usefulness, usability, structure, and others. However, the trials also showed that functionality like search and find-ability of information was difficult to achieve.
Finding Key Factors in Lung Cancer Drug Pathway over Biomedical Semantic Knowledge Network
Authors: Zhu Jiawei  , Du Fang  , Liu Changjian  , Jin Binxin  , Wu Jiamin  , Song Lijuan  , Cao Xiangmei
Published: February 2025

The correlation and treatment of lung cancer have been the focus of biomedical research. To establish a semantic knowledge network of lung cancer, we adopted the following strategies: firstly, lung-cancer related data was effectively fused into the existing knowledge base. Then, the RDF triple was used to organize and describe the data. The semantic knowledge network was of great significance because it could be used to identify the genes, proteins, drugs, and other factors related to the disease. All these factors are very useful in the diagnosis, preconditioning, and treatment of lung cancer. In order to solve the big data problem, a distributed parallel framework of PageRank algorithm was used to identify the key data in lung cancer pathway. The experimental results indicate the efficacy of this novel method.
Japanese Legal Term Correction Using Random Forests
Authors: Yamakoshi Takahiro  , Komamizu Takahiro  , Ogawa Yasuhiro  , Toyama Katsuhiko
Published: February 2025

We propose a method that assists legislation officers in finding inappropriate Japanese legal terms in Japanese statutory sentences and suggests corrections. In particular, we focus on sets of similar legal terms whose usages are defined in legislation drafting rules. Our method predicts suitable legal terms in statutory sentences using Random Forest classifiers, each of which is optimized for each set of similar legal terms. Our experiment shows that our method outperformed existing modern word prediction methods using neural language models.
eSource for Standardized Health Information Exchange in Clinical Research: A Systematic Review
Authors: Garza Maryam  , Myneni Sahiti  , Nordo Amy  , Eisenstein Eric L.  , Hammond W. Ed  , Walden Anita  , Zozus Meredith
Published: February 2025

The availability of research and outcomes data is the primary limitation to evidence-based practice. Today, only a fraction of clinical decisions are based upon evidence derived from randomized control trials (RCTs), the gold-standard of knowledge discovery. At the same time, clinical trial complexity has steadily increased as has the effort required at clinical investigational sites. Direct use of electronic health record (EHR) data for clinical trials has the potential to address some of these needs, improving data quality and reducing cost.
The eHealth Trust Model: A Patient Privacy Research Framework
Authors: Shen Nelson  , Strauss John  , Silver Michelle  , Carter-Langford Abigail  , Wiljer David
Published: February 2025

Patient privacy concerns are often cited as a barrier to health information exchange (HIE) implementations; however, the current understanding of patient perspective is limited due to a fragmented approach to patient privacy research. The limited evidence suggests that the patient privacy perspective is context-dependent and may involve benefit-risk tradeoffs. A standardized approach to the contextual factors would allow for more consistent assessment, providing a better understanding or explanation of the contextual factors influencing the patient privacy perspective and their attitudes towards HIE. This paper describes the development of the eHealth Trust Model—an evidence-based theory-grounded conceptual framework intended to guide future patient privacy research.
FHIRForm: An Open-Source Framework for the Management of Electronic Forms in Healthcare
Authors: Eapen Bell Raj  , Costa Andrew  , Archer Norm  , Sartipi Kamran
Published: February 2025

Electronic Forms (E-Forms) for data capture are vital for most health information systems in public health and clinical research. Standardized electronic forms ensure accurate data collection, consistent form rendering, easy maintainability, and interoperability. Adopting an innovation research method we explore the challenges of standardized data capture in healthcare and offer a pragmatic solution. We appraise existing standards and software to propose the list of requirements for an ideal E-form framework. Our proposed solution leverages FHIR specification and existing open-source software tools. We discuss how our open-source solution can be extended collaboratively and discuss its value using InterRAI instruments as examples.
Knowledge Engineering
Authors: Mizoguchi Riichiro
Published: February 2025

Expert systems are artificial intelligence applications that rely on a formalization of knowledge extracted from human experts. Expert systems had been extensively built and exploited in industries during the 1980s and early 1990s thanks to their performances which were comparable to that of human experts. Knowledge engineering is a discipline born for building knowledge bases suitable to expert systems. Although based on the Feigenbaum's principle “Knowledge is power”, knowledge engineering has been struggling to deliver due to lack of solid foundations. Ontology engineering, a discipline initiated by Nicola Guarino in the early 1990s, contributed to the provision of the needed foundations and to the innovation of knowledge engineering itself. This chapter gives a brief account of the influence of ontology engineering to knowledge engineering, in particular taking into account the Formal Ontology in Information Systems (FOIS) perspective as defined by Nicola in 1998. Some contributions made by his followers are also described.
Introduction of a Pathophysiology-Based Diagnostic Decision Support System
Authors: Kühnel Sandra  , Jovanovic Milan  , Hoffmann Henry  , Golde Sabrina  , Hirsch Martin C.
Published: February 2025

Many current Clinical Decision Support Systems which assist clinical diagnosis, are based on a causal condition-symptom relation. To reach more diagnostic precision Ada's Deep Reasoning is substituting this approach with the use of a model based on pathophysiology.
Design Considerations for a Knowledge Graph: The WATRIMed Use Case
Authors: Some Borlli Michel Jonas  , Bordea Georgeta  , Thiessard Frantz  , Schulz Stefan  , Diallo Gayo
Published: February 2025

The World Health Organization estimates that as much as 80% of the population uses Traditional Medicine (TM) in some form, and in particular, herbal-based Traditional Medicine (HTM). However, TM is mostly orally transmitted and suffers from lack of standardizations and lack of computable TM data. Shareable standards could enable computational support of TM data management. In this paper, we outline the design and development of the West African Herbal Traditional Medicine (WATRIMed) Knowledge Graph (KG), which is an effort for bringing West Africa TM to the digital world and help establishing bridges with conventional medicine. WATRIMed entities have been enriched with knowledge from external publicly available knowledge bases and further mapped with the BioTopLite Upper Level Ontology. As of result, the model of the publicly available KG currently comprises 472 Concepts and 75 Properties (57 object properties and 18 data properties). It describes formally 115 medicinal plants, 179 chemical compounds and 67 recipes.
Improving Information About Private Consultants Through Data Linkage
Authors: Zechmeister Melanie  , Endel Florian
Published: February 2025

In Austria, there is no single source of truth holding information about all physicians and their medical practice. Therefore, different sources have to be combined to accumulate detailed information about doctors, identify data errors and increase overall data quality. The aim of this project is to link two datasets from vastly different origins utilizing reproduceable and mostly automatic procedures in contrast to manually acquired links in the past. As there is no global identifier, names and addresses of the doctors were used instead. Because of different spellings and typos of names and addresses within and in between the datasets, direct comparison does not lead to satisfactory results. Therefore, probabilistic matching with string metrics was applied. The utilized methods significantly improve the linkage and allow to match about 80 % of the private consultants in both datasets.
Echocardiography Population Study in Russian Federation for 4P Medicine Using Machine Learning
Authors: Metsker Oleg  , Yakovlev Alexey  , Ilin Aleksandr  , Kovalchuk Sergey
Published: February 2025

This article describes the study results of echocardiographic (ECHO) test data for 4P medicine applied to cardiovascular patients. Data from more than 145,000 echocardiographic tests were analyzed. One of the objectives of the study is the possibility to identify patterns and relationships in patient characteristics for more accurate appointment procedures based on the history of the disease and the individual characteristics of the patient. This is achieved by using classifications models based on machine learning methods. Early detection of disease risks and “accurate” appointment of diagnostic procedures makes a significant contribution to value-based medicine. Moreover, it was also possible to identify the classes and characteristics of patients for whom repeated diagnostic procedures are well founded. Calculation of personal risks from empirical retrospective data helps to detect the disease in early stages. Identifying patients with high risk of disease complications allow physicians to make right decisions about timely treatment, which can significantly improve the quality of treatment, and help to avoid diseases complications, optimize costs and improve the quality of medical care.
Access Control Models – A Systematic Review
Authors: Gazzarata Giorgia  , Blobel Bernd
Published: February 2025

Within a healthcare environment, organizational, legal, functional, social, ethical, and technical requirements must be met. In that context, security and safety are important challenges, which highly influence user acceptance. In such a complex scenario, privilege management and access control are critical for data security and patients' privacy. On the other end, the appropriate use of care data should not be prevented by data protection measures. In order to enable an adequate use of data, all the policies ruling the care process must be harmonized. In order to pursue this aim, the health system's architecture must be formally described at the required level of granularity using a system theory based architectural model. The resulting representation can be used as a mean to compare the different access control models governing the different parts of the distributed environment and to perform policy harmonization.
Usability Testing of Two Mini-Games and One Serious Game to Educate People About Genetics
Authors: Mainetti Renato  , Oliveri Serena  , Gorini Alessandra  , Cutica Ilaria  , Pravettoni Gabriella  , Borghese N. Alberto
Published: February 2025

The lowering costs of DNA sequencing and the diffusion of numerous Direct to Consumer Genetic Testing (DTC-GT) services have made genetic testing easily available to the general public who can buy them without any medical prescription or consultation. Nevertheless, the knowledge required to understand the provided results and their implications is still scarce in the general public. Starting from these considerations, we developed two mini-games and one serious game to increase people genetic literacy through experiential learning. The three games were tested for usability on a sample of 30 participants, 10 for each game, who were asked to report any positive or negative issue related to the games and to fulfill the Game Experience Questionnaire in order to evaluate their playing experience. Results from the three games show that players experienced moderate levels of immersion and flow, low levels of negative sensations, and a prevalence of positive emotions. In general, these encouraging results suggest that the proposed games are suitable to transmit genetic notions to the general public.
Trends in the global development of automotive sheet steels
Authors: Yusupov V. S. , Adigamov R. R.
Published: February 2025

The paper provides an overview of current trends in the global development of automotive sheet steel. The review includes a study of the WorldAutoSteel Program, which unites 18 major steel producers and provides global information on automotive sheet steel applications. It was found that, given the rapid development of hybrid and electric vehicles, the WorldAutoSteel program objectives were: identifying promising power units and their impact on vehicle architecture; investigating the possibility of using steels for future vehicles; investigating the potential for reducing vehicle weight using AHSS, new technological processes, and automated design optimization; formulating requirements for new steel grades based on the analysis of loads caused in the design of an electric vehicle. The advantages of AHSS are briefly discussed using the example of dual-phase automotive steel (DP). DP600 is a low-carbon cold stamping steel that hardens during shaping and has two main phases in its microstructure: ferritic (a soft, plastic phase that determines the low yield strength of the two-phase steel) and martensitic (a hard phase that imparts the necessary strength to this steel). The microstructure of the two-phase steel may also contain a bainitic component and traces of residual austenite. In the literature, such steels are called two-phase ferritic-martensitic, in contrast to the common ferritic-pearlite, ferritic-bainitic, ferritic-austenitic, austenitic-martesitic and other two-phase steels. Two-phase ferritic-martensitic steels (DPFS) are essentially a composite material in which high-strength martensite islands are surrounded by a plastic ferritic matrix. Due to this structural design, they have high plasticity and increased strength.
Component consumption diagrams for deoxidation of steel with Y–Si and Y–Al alloys
Authors: Makrovets L. A. , Bakin I. V.
Published: February 2025

The peculiarities of the current political and market situation force domestic metallurgists to solve increasingly complex technological problems. The development of technology imposes strict requirements on the quality of steel products, increased mechanical properties, corrosion resistance in aggressive environments, etc. To solve these problems, it is necessary to improve the technology of refining molten steel, modifying non-metallic inclusions (NI), which have a negative impact on the operational properties of the metal. In addition, it is important to control the structure of the cast metal, which will increase the stability of the quality characteristics of metal products. It is known that alloys with rare earth metals, mainly cerium group (Ce, La, etc.), are widely used to simultaneously influence the morphology and properties of NI, as well as refine the grain structure of the cast metal. When using materials containing yttrium as a REE, similar mechanisms are realized, but there are also a number of features that make it possible to distinguish this element from the general series. At the same time, the behavior of yttrium under conditions of extra-furnace steel treatment has not been sufficiently studied. In the course of this work, the thermodynamic features of steel deoxidation by alloys containing yttrium were investigated. Flow diagrams for Y–Si and Y–Al alloys were constructed, allowing one to determine the optimal ratio of components in the ligature, optimize the compositions of multicomponent alloys, and also establish rational conditions for their use in refining steel for various initial oxygen contents.
Effect of Activities on the Value of Chemical Sub-Sector Companies Listed on the Indonesia Stock Exchange
Authors: Inrawan Ady , Eka Putri Debi , Syahputri Anggraini , Masyitah Emi , Lieyadi Gilbert
Published: February 2025

The study aims to evaluate two main aspects: first, to provide an overview of activities and company values among Chemical Sub-Sector companies listed on the Indonesia Stock Exchange, and second, to investigate how these activities impact the companies' values. The research design is based on library research, focusing on all Chemical Sub-Sector companies listed as of December 31, 2022. The study employs purposive sampling and combines both qualitative and quantitative descriptive analysis methods. Analytical techniques used include classical assumption tests, simple regression analysis, correlation coefficients, and hypothesis testing. The findings reveal several key points: Firstly, the average level of activity among these companies has shown a tendency to decrease, while their values have generally increased. Secondly, the simple regression analysis indicates that activity does not significantly affect company value, with a negative relationship observed. Thirdly, both the correlation coefficient and determination analysis suggest a very weak relationship between activity levels and company value. Finally, the t-test results confirm that activity has a negative and statistically insignificant impact on company value.
A Comprehensive Strategy Formulation for Business Sustainability: A Case Study of a Coal Mining Company
Authors: Nurjanah Novia Siti , Valdiansyah Ryan Harbi , Rahayu Sri
Published: February 2025

The aim of this study is to evaluate the comprehensive strategy formulation of PT XYZ, an Indonesian coal mining company, by applying the IFE-EFE and QSPM methods. The research involved interviews with 10 senior management members from various divisions to obtain a holistic view of the company. The findings showed that the most effective strategy to boost sales during the current period is the optimal one among the four strategies identified through QSPM analysis. This study's results are expected to strengthen the sustainability of coal mining companies by improving management strategies through corporate strategy analysis. The researchers acknowledge the limitations in expanding the strategies used in the SWOT analysis, offering future researchers the chance to develop more comprehensive IPO development indicators as needed.
The Effect of Taxpayer Knowledge, Modernization of The Tax Administration System, Tax Sanctions, Tax Awarness and Accountability of Public Service on The Compliance of Motor Vehicle Taxpayers
Authors: Nikmah Alfiyatun , Mulyani Ulva Rizky , Zuliyati
Published: February 2025

This research aims to address the gap in understanding how factors influence motor vehicle taxpayer compliance. Specifically, the study examines the effect of taxpayer knowledge, modernization of the tax administration system, tax sanction, tax awarness and public service accountability on taxpayer compliance. The study focused on taxpayers registed at the Jepara Regency Samsat Office. A total of 400 respondents were selected using Accidental Sampling. Primary data was collected for this study. To analyze the data, Multiple Linier Regression Analysis was conducted using SPSS version 26. Which have a positive effect is taxpayer knowledge, modernization of the tax administration system and tax sanction.  Meanwhile it have no effect is tax awarness and public service accountability.
Analysis of Company Valuation and Factors of Goto Stock Price Decline After IPO
Authors: Holiawati  , Yati Rosmiati Dede , Eko Prasetyo  , Kristiyanto  , Wadi Indra
Published: February 2025

Startups in Indonesia have been growing very fast in recent years. The phenomenon of startups conducting IPOs on the Indonesian stock exchange is an interesting phenomenon that is worth discussing. Moreover, GOTO shares experienced sham price dynamics until a drastic decline since its opening in March 2022 until now. This research is a qualitative research with descriptive methods. The data source of this research is taken from primary data in the form of fundamental and technical analysis of GOTO shares and secondary data consisting of related journals, reports and company data as research data In analyzing the valuation of GoTo companies, researchers use the relative / market valuation method. The results showed that the valuation of GOTO shares when conducting an IPO was below the average valuation of world companies. The decline in stock prices that occurred after the IPO could be due to the fact that investors generally expect short-term profits on stocks that conduct IPOs. In addition, many investors make decisions to sell and buy based on stock price movements in the market and not based on company fundamentals. Suggestions to company management, investment managers, securities, and academics, to continue to educate investors regarding the valuation of e-commerce companies. Management should also consider share buybacks. For the next start-up management that will conduct an IPO, the company also needs to educate on company valuation, and prepare steps to maintain the stability of its share price after the IPO.