bluuebunny/crossref_metadata_2025 huggingface dataset:
New Ergonomic Metrics for Educational Ontology Design and Evaluation
Authors: Gavrilova Tatiana  , Gorovoy Vladimir  , Bolotnikova Ekaterina
Published: February 2025

This article presents an approach aimed at creating teaching strategies for e-learning based on the principles of ontological engineering and cognitive psychology. For the last ten years visual representation of knowledge has been topical in e-learning methodology and it is heavily connected to ontology design and development. The proposed framework is aimed to develop a methodology where the design of ontology is evaluated by assessing its structure with several quantitative metrics. This can scaffold the process of knowledge structuring and orchestrating teaching ontologies for courseware design. The refining procedure is essential for ontology design and development. Illustrative domain ontologies are helpful in learning process. The main idea is to use visual techniques of mind-mapping and concept mapping as a powerful learning tool. Cognitive bias and some results of Gestalt psychology form a general guideline. The ideas of balance, clarity, and beauty are applied to the ontology evaluation procedures. Such approach can be widely used in enterprise knowledge management systems, in education processes, and can help educators and students create ontologies of high quality.
An Economic Order Policy Assessment Model Based on a Customized AHP
Authors: Murino Teresa  , De Carlini Riccardo  , Naviglio Giuseppe
Published: February 2025

Nowadays, the inventory management is a central issue for companies. On the one hand, having too high stock levels in spite of the real requirements may lead to circulating capital's immobilization; on the other hand, low stock levels may cause lost of sales and consequent customer dissatisfaction. The aim of this paper is the definition of a model based on a customized AHP (Analytic Hierarchy Process) model for evaluating the optimal procurement policy regarding standard items (screws, bolts, screw nuts, etc.). These items are the last sub codes within complex bill of materials (BOM) for products manufactured by an important make to order company. This model allows to assign to each BOM items the right management inventory policy, depending on their priority and criticality according to the customer requirements.
Generic Process Framework for Developing High-Integrity Software
Authors: Biglari Binazir  , Ramsin Raman
Published: February 2025

In high-integrity systems, certain quality requirements have gained utmost significance in such a way that failing to satisfy them at a particular level may result in the loss of the entire system, endangerment of human life, peril to the organization's existence, or serious damage to the environment. High-integrity computer systems should incorporate top-quality software in order to adequately address their stringent quality requirements. The methodologies used for developing high-integrity software must possess special characteristics in order to ensure successful realization of the requirements.
Towards Automatic Recognition of the Structure of Estonian Directory Inquiries
Authors: Koit Mare
Published: February 2025

We analyse dialogues in order to determine the dialogue structure formed by micro-level units – dialogue acts. The empirical material of the study is a sub-corpus of Estonian directory inquiries. Dialogue recordings are transliterated by using the transcription of conversation analysis. Dialogue acts are annotated in the corpus. Rules for identification of different dialogue parts will be formulated which use sequences of dialogue acts and their position in dialogue. Our further aim is to implement software for automatic pragmatic analysis of dialogues in order to recognize their linear structure as well as sub-dialogues.
Towards Audiovisual TTS in Estonian
Authors: Meister Einar  , Fagel Sascha  , Metsvahi Rainer
Published: February 2025

In the current paper we report our first results in the development of audiovisual speech synthesis for Estonian. The MASSY model, developed originally for German, serves as a prototype for the Estonian AV synthesis. First, we give an overview of the methods of AV speech synthesis and the Estonian viseme inventory, then we introduce the MASSY model and its adaptation for Estonian; finally, we discuss the ideas for further development.
Multimodal Corpus of Speech Production: Work in Progress
Authors: Meister Einar  , Meister Lya
Published: February 2025

The paper introduces work-in-progress on multimodal articulatory data collection involving multiple instrumental techniques such as electrolaryngography (EGG), electropalatography (EPG) and electromagnetic articulography (EMA). The data is recorded from two native Estonian speakers (one male and one female), the target amount of the corpus is approximately one hour of speech from both subjects. In the paper the instrumental systems exploited for data collection and recording set-ups are introduced, examples of multimodal data analysis are given and the possible use of the corpus is discussed.
Towards named entity annotation of Latvian National Library corpus
Authors: Paikens Peteris  , Auzina Ilze  , Garkaje Ginta  , Paegle Madara
Published: February 2025

The paper describes a work in progress of building a catalogue of named entities – people, places and organizations – based on a recently digitized large (4.5 billion tokens) Latvian corpus. The authors propose an annotation standard for markup of named entities within Latvian corpus, according to which a representative set of documents (150 000 words) are manually annotated. This corpus is used for training and evaluation of an automated named entity recognition system based on Stanford CRF classifier, achieving an F-score of up to 81%. The named entities indexed within the Latvian National Library corpus and the annnotated documents are publicly available for linguistic and historical research online.
Terminology Extraction from Comparable Corpora for Latvian
Authors: Gornostay Tatiana  , Ramm Anita  , Heid Ulrich  , Morin Emmanuel  , Harastani Rima  , Planas Emmanuel
Published: February 2025

This paper presents the work on terminology extraction from comparable corpora for Latvian. In the first section we introduce our work; the second section briefly describes the concept of the project and the implemented general terminology processing chain; the following two sections focus on terminology extraction workflow for Latvian and evaluation of results, respectively.
A Multilingual Research Infrastructure
Authors: Maegaard Bente
Published: February 2025

In this presentation we will focus on the scientific and technical goals for CLARIN, the contributions of the various communities and the strategies for the future.
Semantically-Enhanced Recommenders
Authors: Codina Victor  , Ceccaroni Luigi
Published: February 2025

Recommendation models based on collaborative filtering have good prediction accuracy; however, they have very poor performance in cold-start scenarios, when no or few rating data are associated to certain items or users. An approach for dealing with cold-start problem is to build hybrid models that include content-based filtering. This paper focuses on knowledge-based hybrids that exploit semantic relations among item attributes to enhance traditional models. We investigate novel methods for exploiting this semantics during the recommendation process, in domains where explicit semantic relations among attributes in the form of ontologies are not available. We carry out an extensive performance comparison in which the proposed semantically-enhanced models are evaluated in normal and cold-start scenarios. The experimental results with a publicly available dataset demonstrate superior better performance of the proposed semantically-enhanced models, above all in cold-start scenarios, with respect to a state-of-the-art collaborative-filtering model based on matrix factorization. The proposed models, additionally, provide for interpretable recommendations, in contrast to black-box models.
Using Twitter for Prenatal Health Promotion: Encouraging a Multivitamin Habit Among College-Aged Females
Authors: Mackert Michael  , Kim Eunice  , Guadagmo Marie  , Donovan-Kicken Erin
Published: February 2025

Half of the pregnancies in the United States are unplanned and the highest rate of these unplanned pregnancies occurs in young women aged 18–24y. Serious birth defects, such as those that affect the neural tube, occur early in pregnancy, most of the time before a woman knows she is pregnant. These neural tube defects can be reduced by 50–72% with an adequate daily intake of folic acid. In continuing the research on how to effectively communicate the important benefits of folic acid to young women, this study sought to investigate the use of social media as a tool for health promotion. Young women are considered the ‘power users’ of social media and the current study uses Twitter as a vehicle for multivitamin promotion messages due to the ability to quickly share content and the potential to attract viral attention through re-tweets.
Communication Channel Choice between Enterprises and Government
Authors: Kindel Kristiina  , Venesaar Urve  , Reidolf Merli
Published: February 2025

The aim of the current article is to identify the factors influencing the enterprises' choice of communication channels with government comparing e-government to traditional service delivery channels such as telephone, mail, fax or visiting a government office in the context of media richness theory. The article, through logistic regression of data from a survey of Estonian and German enterprises, assesses the preferred communication channels in terms of the nature of enterprises' interaction with government and other characteristics of enterprises, as well as their experience with using e-government services. The analysis indicates that the use of communication channels between enterprises and government differs between countries and depends on the size and location of enterprise, economic sector, enterprise growth trend and some other characteristics. The study showed that the quality and ease of use of e-government services have an impact on increasing use of electronic communication channels.
Business Domain Modelling with Business Archetypes and Archetype Patterns
Authors: Piho Gunnar  , Tepandi Jaak
Published: February 2025

We present business archetypes and archetype patterns based methodology for modelling of business domains. Business domain model (e.g. in health care, banking, transportation, etc.) describes universe of discourse of business without any reference to the software requirements or to the design to any software system. Business archetype is an abstract model describing some common term that consistently and universally occurs in business domains and in business software systems. Business archetype pattern is collaboration between business archetypes. Product, process, party, party relationship, inventory, order, quantity and rule archetype patterns are members of this archetype patterns framework. We exemplify the usefulness of this framework of business archetypes and archetype patterns by utilizing it in development of clinical laboratory domain model and of clinical laboratory information management system (LIMS) software based on this domain model. In software development we follow the software engineering triptych - from domain modelling via requirements constructing to design and implementation of software. In our understanding the domain modelling with archetypes and archetype patterns complements Bjørner's domain facets based domain analysis methodology and results in more flexible, customizable, reliable and interoperable software.
A Context-based Multi-Dimensional Corporate Analysis Method
Authors: Ito Shin  , Kiyoki Yasushi
Published: February 2025

This paper presents a context-based multi-dimensional corporate analysis method that evaluates companies based on user-specified contextual settings. The contextual settings are translated and decomposed into distinct spaces, finance, technology, and brand, each of which consists of a subspace containing multiple parameters. The contextual settings determine the relevance of each of such parameters in evaluating companies by assigning appropriate weight to the parameter. The important feature of this corporate analysis method is that it allows the user to analyze companies seamlessly only with the contextual settings without the knowledge of multi-dimensional decomposition.
Integrating Human Factors in an International Research Project: Lessons Learned from the PSIP Project
Authors: Marcilly Romaric  , Beuscart-Zephir Marie-Catherine  , Beuscart Régis
Published: February 2025

This paper presents how a Human Factors (HF) engineering approach has been applied to a European Project aiming at preventing Adverse Drug Events. Methods used by HF experts and their main contributions are depicted. Main lessons learned from HF involvement in this project are proposed in terms of methods for ADE prevention interventions and project management.
Forumclínic: the shaping of virtual communities to assist patients with chronic diseases
Authors: Grau Immaculada  , Grajales III Francisco J.  , Gene-Badia Joan  , Siso Antoni  , de Semir Marc
Published: February 2025

Information and communication technologies (ICTs) provide new opportunities to complement traditional care while enhancing patient autonomy. With the objective to supplement patient care, a group of health professionals at the Hospital Clínic de Barcelona created Forumclínic, an online networking website in Spanish and Catalan. In 2008, seven web- and DVD-based chronic disease portals (Diabetes, Schizophrenia, Cardiac Ischemia, COPD, Depression, Breast Cancer and cardiovascular risk) were created with the following resources: multimedia patient education material; physician-specialist transcribed research (articles) news; an open question forum (for clinician-user and user-to-user interaction); and patient and specialist interview videos on the progress of disease, common diagnosis and treatment procedures; and information on the best or worst prognoses. Using data from Google Analytics, server logs were used to observe online behaviour patterns and user postings. This data combined with a mixed methods approach were used to evaluate the development of a virtual community (VC). A virtual community was developed when the number of forum visits was greater than those in the disease portal (definition). While nearly half of the visitors were from the Americas, the Schizophrenia, Breast Cancer, Depression and COPD forums met the criteria for and developed a virtual community. However, the Diabetes and Cardiac Ischemia forums did not reach VC status. It is also interesting to note that users in their late thirties and early forties were primarily women. The development of four virtual communities in Forumclínic seems to support the self-care needs of virtual patients. Users also reported appreciating the increased interaction with experts online and commonly collaborated with the forum moderator to guide and support other users with similar conditions in managing their health. Thence, we believe that Forumclínic is a good model to complement traditional patient care. A formal evaluation of this adjuvant form of care, from both the users' and moderators' perspective, is currently in its final stages.
Optical Coherence Tomography for Rapid Tissue Screening and Directed Histological Sectioning
Authors: Jung Woonggyu  , Boppart Stephen A.
Published: February 2025

In pathology, histological examination of the tissue is the “gold standard” to diagnose various diseases. It has contributed significantly toward identifying the abnormalities in tissues and cells, but has inherent drawbacks when used for fast and accurate diagnosis. These limitations include the lack of in vivo observation in real time and sampling errors due to limited number and area coverage of tissue sections. Its diagnostic yield also varies depending on the ability of the physician and the effectiveness of any image guidance technique that may be used for tissue screening during excisional biopsy. In order to overcome these current limitations of histology-based diagnostics, there are significant needs for either complementary or alternative imaging techniques which perform non-destructive, high resolution, and rapid tissue screening. Optical coherence tomography (OCT) is an emerging imaging modality which allows real-time cross-sectional imaging with high resolutions that approach those of histology. OCT could be a very promising technique which has the potential to be used as an adjunct to histological tissue observation when it is not practical to take specimens for histological processing, when large areas of tissue need investigating, or when rapid microscopic imaging is needed. This review will describe the use of OCT as an image guidance tool for fast tissue screening and directed histological tissue sectioning in pathology.
Semantic Service Matchmaking for Ad Hoc Supply Chain Formation: a Network Analysis Approach
Authors: Trung Duc Nguyen  , Jung Jason J.
Published: February 2025

Since the number of enterprises is getting larger, business collaborations become more complicated. Particularly, in a dynamic environment (e.g., supply chains), it has been difficult for the traditional enterprises to find and select relevant partners by using their rigid business relationship. In this paper, we propose a semantic service framework to conduct a supply chain formation, and more importantly, given a certain event, to choose the best business paths between two arbitrary enterprises. The participant enterprises are required to provide their own ontologies so as to to obtain semantic matches between the services and justify their semantic interoperability. As a result, in terms of two indicators (i.e., precision and agility), we have shown that the proposed framework outperforms traditional enterprise collaboration schemes.
Assistive Technology Products
Authors: Cercone Nick
Published: February 2025

We survey a range of assistive technology products for the visually and hearing impaired and for those with mild cognitive disabilities.
Rough Sets Methods and Applications for Medical Data: A Survival Analysis Experience
Authors: Pattaraintakorn Puntip  , Cercone Nick
Published: February 2025

Survival analysis is a traditional statistical approach to medical data that involves an event of interest and time. Historical data will be the target of the study and statistical models can be inductively derived. These models try to provide statistical explanation to patients and aim to prevent or prolong undesirable events. We provide our view and our experience of using rough set theory, a relatively young but well-known data mining technique, to medical survival data. We focus on widening the technique and model from a deductive approach to an inductive approach, or a combination that is more flexible and efficient.
Speech and Prosodic Processing for Assistive Technology
Authors: Narupiyakul Lalita  , Keselj Vlado  , Cercone Nick  , Sirinaovakul Booncharoen
Published: February 2025

A speaker's utterance may convey different meanings to a hearer than what the speaker intended. Such ambiguities can be resolved by emphasizing accents at different positions. In human communication, the utterances are emphasized at a focus part to distinguish the important content and reduce ambiguity in the utterance. In our Focus-to-Emphasize Tone (FET) system, we determine how the speaker's utterances are influenced by focus and speaker's intention. The relationships of focus information, speaker's intention and prosodic phenomena are investigated to recognize the intonation patterns and annotate the sentence with prosodic marks. We propose using the Focus to Emphasize Tone (FET) analysis, which includes: (i) generating the constraints for foci, speaker's intention and prosodic features, (ii) defining the intonation patterns, and (iii) labelling a set of prosodic marks for a sentence. We also design the FET structure to support our analysis and to contain focus, speaker's intention and prosodic components. An implementation of the system is described and the evaluation results on the CMU Communicator (CMU–COM) dataset are presented.
SIGNMT: an Alternative Sign-Text MT for Language Learning
Authors: Ditcharoen Nadh  , Naruedomkul Kanlaya  , Cercone Nick
Published: February 2025

We present the SIGNMT, Thai Sign to Thai machine translation system, which is able to translate from Thai sign language into Thai text. In the translation process, SIGNMT takes into account the differences between Thai and Thai sign language in terms of both syntax and semantic to ensure the accuracy of translation. SIGNMT was designed to be not only an automatic interpreter but also a language learning tool. It provides the meaning of each word in both text and image forms which is easy to understand for the deaf. The grammar information and the order of the sentence are presented in order to help the deaf in learning Thai, their second language. SIGNMT was designed to support individual learning. With SIGNMT, deaf students are less dependent on a teacher, have more freedom to experiment with their own language and improve their knowledge and learning skills. The SIGNMT system was tested and evaluated in terms of translation accuracy and user satisfaction. The evaluation results show that the translation accuracy is acceptable and it satisfies the users' needs.
Human Intervention for Searching Targets Using Mobile Agents in a Multi-Robot Environment
Authors: Nishiyama Takushi  , Takimoto Munehiro  , Kambayashi Yasushi
Published: February 2025

We propose an intelligent interface for the mobile software agents that we have developed. The interface should have two roles. One is to visualize the mobile software agents using augmented reality and the other is to give a human user the means to control the mobile software agents by gesture using a motion capture camera. Through the interface we human beings can intuitively grasp the activities of the mobile agents, i.e. through augmented reality. In order to provide proactive inputs from the user, we utilize the Kinect motion capture cameras to capture the human users' will. The Kinect motion capture camera is mounted on a mobile robot that is near the human user. The robot acts as a mediator that recognizes the human user's will and convey it to mobile software agents that control the mobile multiple robots. A mobile software agent is searching a target, and uses a mobile robot to seize the target when it finds the target. When the user points at the target or a mobile robot, the monitoring software captures the will of the user and conveys instructions to the mobile agent based on the information from the Kinect. The mobile agent migrates from one robot to another to look for the searching mobile agents and hands the instruction to which robot it should move. The agent migration is represented by an image's moving to the robot that was pointed. This paper reports the intelligent user interface that provides the interaction between the human user and the mobile agents as the first step toward the complete intelligent human computer interface. We demonstrate the usefulness through preliminary experiments.
Examination of Sensor Positions to Detect Bicycle Speeding Behavior
Authors: Goto Hidenobu  , Miura Motoki
Published: February 2025

With the increasing number of bicycle riders, there is an increased risk of accidents between bicycles and automobiles. Some accidents are caused by speeding bicycles and the lack of communication between the cyclist and car drivers. To close the communication gap, we propose a method to detect speeding behaviors using a conventional smartphone. Using the smartphone, the cyclist will be able to obtain additional notification with minimum inconvenience and cost. We investigated the fundamental characteristics of accelerometer data with different mounting positions and shock absorber conditions. We found that the rear side position was the best for detecting speeding behaviors.
Facilitating Collaborative Learning on a Multitouch Tabletop
Authors: Chen Weiqin
Published: February 2025

The characteristics of multitouch tabletops, such as large interactive surfaces and simultaneous multiple-user input, can afford collaborative behaviours. Although multitouch tabletop applications are becoming popular in education, such applications themselves do not always promote effective collaboration and learning. Many aspects need to be taken into consideration to ensure effective and productive learning on multitouch tabletops. We argue that agent technologies have the potential to facilitate collaborative learning on multitouch tabletops by providing adaptive feedback at an appropriate time with suitable modality. This potential has not been fully explored in the research communities. This paper presents a generic agent framework for facilitating collaborative learning on multitouch tabletops. We use a math learning game on a multitouch tabletop as an example of implementing the framework.
Cooperative Agents for ontology Alignment
Authors: Ratiba Guebaili-Djider  , Karima Akli-Astouati  , Hadjer Lacheheb  , Asma Bellili
Published: February 2025

The task of ontology alignment is particularly important for integration system because it enables the consideration of resources described by different ontologies. It is in this context that joins our work which consists of the realization of an ontology alignment system based on the agents technology. In fact, the alignment process is based on the calculation of syntactic, semantic and structural similarities where each technique is performed through an agent. On output, three rows dedicated to each technique are obtained. Choosing the best alignment is then deduced through a process of argumentation. The validation tool was carried out by tests on Benchmarks.
New structural measure for the ontology alignment
Authors: Ratiba Guebaili-Djider  , Aicha Mokhtari  , Narhimene Boustia  , Karima Akli-Astouati  , Farid Nouioua
Published: February 2025

Ontologies used in semantic Web meets two major challenges. The first, concerns the use of a logical formalism to write concepts with enough expression power. The second is to guarantee a maximum interoperability if different ontologies are used. For this last problem, ontology alignment is one of the most appropriate solutions. It is based on the syntactic, semantic and structural similarities of the different input ontologies. To write the ontology concepts, we propose in this work, a description logic whose semantics is algebraic-based. Then, based on this representation formalism, we show how to improve the measure used to compute the structural similarity and we propose an argumentation-based method to deal with the ontology alignment problem.
Context-sensitive decision support for improved sustainability of product lifecycle
Authors: Scholze Sebastian  , Kotte Oliver  , Stokic Dragan  , Grama Cristina
Published: February 2025

The paper presents a new approach to applying context awareness in order to create context-sensitive decision support services in an eco-process engineering systems setting. Optimizing the life-cycle of industrial products is subject to the options of continuously updating them by incorporating cutting edge technologies, replacing worn out pieces by new improved ones, and conceptually changing components of the product itself. While new products benefit from cutting edge technologies, the highest impact is achieved by upgrading existing products in operation, leading to the “long life eco-products” concept. The proposed approach uses context awareness to enable evaluating the performance of engineered products based on the whole life-cycle, so that product engineering teams can exploit this information to adapt the design, operation, and disposal strategies of products. One of the key assumptions of this approach is that the results of analysing contextual information and previously taken decisions can be used to reconfigure application-specific services positioned anywhere along the life-cycle of a product; by monitoring the development life-cycle and the product enriched with context from ambient intelligence, the services supporting the life-cycle can be configured in order to have faster update iterations. The presented approach will be validated against three different business cases.
Evaluation Principles between AHP/ANP and Dominant AHP/CCM
Authors: Kinoshita Eizo  , Mizuno Takafumi  , Sugiura Shin
Published: February 2025

In this paper, we provide evaluation principles of decision making processes: Analytic Hierarchy Process (AHP), Analytic Network Process (ANP) which is an extension of AHP for typical network structure, Dominant AHP, and its Concurrent Convergence Method (CCM). We also list differences and similarities among them in discussions.
Information Sharing Decisions in a Dual-Channel Supply Chain with Demand Disruption
Authors: Zhang Zichao  , Wang Haiyan  , Xu Xiaoling
Published: February 2025

In a dual-channel supply chain consisting of one manufacturer and one retailer with demand disruption, the retailer is often more sensitive to the disruption information than the manufacturer. In this paper, Stackelberg game and optimization theory are used to investigate whether demand disruption information will be beneficial for both the manufacturer and the retailer. Optimal wholesale price, retail price, sale price in the direct channel, profit of the retailer and profit of the manufacturer are obtained respectively both in the context of information sharing and no information sharing. Furthermore, conditions under which demand disruption information should be shared and an incentive mechanism for the manufacturer to motive the retailer to share the demand disruption information are also provided. Results show that demand disruption magnitude is an important factor influencing information sharing decisions of the retailer. At last, a numerical example is taken to illustrate the results.
Temporal Change of Community Structure in the Japanese Credit Network
Authors: Matsuura Yuki  , Iino Takashi  , Iyetomi Hiroshi
Published: February 2025

Possibility of risk contagion over an entire financial system may be elucidated by studying relationship among creditors and borrowers. Here we study temporal change of community structure of a credit network formed by banks and listed firms through their financial relations over the last 30 years in Japan; the communities may be regarded as reflecting concentration of risk. The network is a bipartite graph consisting of two species of nodes connected with bidirectional links. The direction of links is identified with that of risk flows and their weights are relative loans with respect to the targets. In a partial credit network obtained only with the links pointing from firms toward banks, the city banks forms one major community in most of the time period to share risk when firms go wrong. On the other hand, a partial network only with the links from banks toward firms is decomposed into communities of similar size each of which has its own city bank. Finally we take overlapping parts of the two community sets to find cores of the risk concentration in the credit network.
An Extension of the Method for Fuzzy Rules Extraction by Means of Artificial Neural Networks
Authors: Górecki Jan  , Šperka Roman  , Spišák Marek
Published: February 2025

Knowledge extraction from data in the form of rules is a widespread direction in data mining area, which allows to obtain interesting relationships in data from large databases in for a human easily understandable form. This paper deals with one of the methods for extraction of rules from data which extract rules in form of a formula in considered fuzzy logic by means of artificial neural networks with special architecture. Using artificial neural networks in extraction process, above mentioned methods gain good approximation of analyzed data and thanks to special architecture allows to extract human-understandable knowledge. The method described in this paper was, however, missing any module, that is a standard part of the most of methods used for rules extraction from data, that would allow to the user subjective selection of the best ratio between accuracy and comprehensibility of the model. This is especially important feature for solving data mining tasks called searching of concepts descriptions, which allow to the user to get a good insight and understanding of the analyzed data. Thus, the main contribution of this paper is a design of such a module inspired by a similar module in methods for extraction of the so-called decision trees. Performance of this new module is illustrated on a standard dataset in two experiments.
Understanding how clinical judgement and communicative practices interact with the use of an electronic clinical handover system
Authors: Yee Kwang Chien  , Wong Ming Chao  , Turner Paul
Published: February 2025

Clinical handover is a high risk scenario involving the transfer of information, responsibility and accountability for patient care. Many strategies have been proposed to improve clinical handover and reduce risks it can pose to the safety and quality of patient care. The development and implementation of electronic tools provides one mechanism for structuring and streamlining information transfer to support more standardised handover practices. However, clinical judgement remains a valued, fundamental aspect of clinical practice and its communication during handover is open to variation in ways that may compromise patient safety. This research examines these issues based on evidence generated from a user-centred approach involving clinicians in the development and implementation of an electronic clinical handover system. The paper highlights how clinical judgements and communicative practices interact with an electronic clinical handover system, and discusses their potential implications for patient safety as part of a broader clinical handover improvement project.
European Research on Wireless Endoscopy – the VECTOR Project
Authors: Schostek Sebastian  , Schurr Marc O.
Published: February 2025

Within the European VECTOR project, various technologies to enhance the current field of capsule endoscopy towards screening of colorectal cancers and its precursors, and enhanced diagnostic and therapeutic functionalities have been developed. Among others, this includes technologies for active locomotion, wireless therapy and detection of gastrointestinal bleeding. The VECTOR project has contributed to the trend to develop novel procedures for improved diagnosis and treatment of gastrointestinal diseases.
E-prescribing in Greece: Myth or reality
Authors: Krania Elli  , Avgerinou E.  , Limaki E.  , Bartzis G.  , Mantzana Vassiliki
Published: February 2025

The economic crisis, as well as the need to improve patient safety, enhance healthcare services and reduce medical costs made Greek payers to support the implementation and usage of a national electronic prescribing system. The purpose of this paper is to evaluate physicians' attitudes towards e-Prescribing for suggesting improvements. Despite the fact that the physicians were generally satisfied with the e-prescribing system, the benefits of its use were not realized. Moreover, the authors identified key barriers, such as (1) system's unavailability, (2) time to adjust and adapt to e-prescribing, (3) change management issues, (4) lack of training, (5) Information Technology (IT) requirements and (6) medical coding limitations.
Area of the ROC curve when one point is available
Authors: Katostaras Theofanis  , Katostara Niki
Published: February 2025

In this paper, the method of extension is proposed for the calculation of the area under the ROC curve, if only one pair of specificity (Sp0=1-FP0) and sensitivity (Se0) is available. The method of extension is algebraic and is based on the assumption that the ROC curve is continuous, concave, truly ascending and has the form Se=κ0+κ1FP+κ2FP2in parts. The area under ROC curve is calculated by the formula: AUC=(7Sp0+7Se0−2Sp0Se0)/12.
Sitting/Setting On A Fence: The Use of (Video)Recording In Producing Data to Study Edge Environments
Authors: Galimberti Carlo  , Brivio Eleonora
Published: February 2025

The presence of interactive technologies both in field and laboratory research settings makes new instruments and new methodological perspectives to have a complete view of the processes taking place in the setting. This contribution suggests that recording data and taking the researcher position in the setting into consideration may enrich the data production process.
The Impact of Different Perceptual Cues On Fear And Presence In Virtual Reality
Authors: Peperkorn Henrik M.  , Mühlberger Andreas
Published: February 2025

The impact of perceptual visual cues on spider phobic reactions has been thoroughly investigated over the last years. Although the fear of being touched by a spider is part of the clinical picture of spider phobia, findings on the impact of tactile fear cues are rare. This study uses virtual reality to selectively apply visual and tactile fear cues. Self-reported fear and the experience of presence in VR were measured in 20 phobic and 20 non-phobic participants. All participants were repeatedly exposed to visual cues, tactile cues, the combination of both and no fear relevant perceptual cues. Participants were exposed in each condition for five times in random order. Results show that tactile fear cues have the power to trigger fear independent of visual cues. Participants experienced highest levels of presence in the combined and the control condition. Presence may not only be seen in association with the emotional impact of specific cues in VR but also appears to depend on the comparability of a virtual environment to a real life situation.
A Guideline-based Decision Support System for Headache Diagnosis
Authors: Yin Ziming  , Dong Zhao  , Yu Shengyuan  , Lu Xudong  , Feng Guanjun  , Duan Huilong
Published: February 2025

The ratio of correct diagnosis for primary headache has always been relatively low for general practitioners due to the unacquaintance with headache guideline in Chinese primary hospitals. This study proposed a computerized headache guideline method using SAGE module and developed a decision support system for headache diagnosis, which could be expected to help general practitioners of primary hospitals improve diagnostic accuracy. 282 previously diagnosed cases from EMR were used to evaluate the diagnostic accuracy of the system, the result is: migraine 144/153 (94.1%), tension-type headache 89/100 (89.0%), cluster headache 10/11 (90.9%) and chronic daily headache 53/57(93.0%). The proposed system is in the starting phase of the implementation at the outpatient department of Neurology in Chinese PLA general hospital.
A Vision for Enhancing Multimorbid Care using Clinical Decision Support Systems
Authors: Grace Audrey  , Mahony Carolanne  , O'Donoghue John  , Heffernan Tony  , Molony David  , Carroll Thomas
Published: February 2025

There has been a substantial increase in Multimorbidity, worldwide. Extensive empirical research has found that General Practitioners (GPs) often feel overwhelmed when dealing with such patients [1]. While clinical decision support systems (CDSS) are effective at reducing clinical decision errors and improving healthcare processes across diverse settings [2], the use of CDSS within multimorbidity care is under investigated. This study employs a multi-method approach to examine how well CDSS currently support Irish GPs when dealing with multimorbid patients. The findings uncover a number of inadequacies, including: a lack of provision of integrated medical guidelines for multiple chronic diseases within current CDSS; and an inability to centralise the patient rather than the disease using such systems. This research underlines the need for further research into CDSS for multimorbidity and highlights key issues that must be addressed in order to improve how CDSS support the care of multimorbid patients.
Building a Common Pipeline for Rule-based Document Classification
Authors: Patterson Olga V.  , Ginter Thomas  , DuVall Scott L.
Published: February 2025

Instance-based classification of clinical text is a widely used natural language processing task employed as a step for patient classification, document retrieval, or information extraction. Rule-based approaches rely on concept identification and context analysis in order to determine the appropriate class. We propose a five-step process that enables even small research teams to develop simple but powerful rule-based NLP systems by taking advantage of a common UIMA AS based pipeline for classification. Our proposed methodology coupled with the general-purpose solution provides researchers with access to the data locked in clinical text in cases of limited human resources and compact timelines.
Validation of Fuzzy Sets in an Automated Detection System for Intensive-Care-Unit-Acquired Central-Venous-Catheter-Related Infections
Authors: de Bruin Jeroen S.  , Blacky Alexander  , Koller Walter  , Adlassnig Klaus-Peter
Published: February 2025

Central venous catheters play an important role in patient care in intensive care units (ICUs), but their use comes at the risk of catheter-related infections (CRIs). Electronic surveillance systems can detect CRIs more accurately than manual surveillance, but these systems often omit patients that do not exhibit all infection signs to their full degree, the so-called borderline group. By extending an electronic surveillance system with fuzzy constructs, the borderline group can be identified. In this study, we examined the size of the borderline group for systemic CRIs (CRI2) by calculating the frequency of fuzzy values for CRI2 and related infection parameters in patient data involving ten ICUs (75 beds) over one year. We also validated the expert-defined fuzzy constructs by comparing overall and CRI2-specific support. The study showed that more than 86% of the data contained fuzzy values, and that the borderline group for CRI2 consisted of 2% of the study group. It was also confirmed that most fuzzy constructs were good representatives of the borderline CRI2 patient group.
User-centered Design in Clinical Handover: Exploring Post-Implementation Outcomes for Clinicians
Authors: Wong Ming Chao  , Cummings Elizabeth  , Turner Paul
Published: February 2025

This paper examines the outcomes for clinicians from their involvement in the development of an electronic clinical hand-over tool developed using principles of user-centered design. Conventional e-health post-implementation evaluations tend to emphasize technology-related (mostly positive) outcomes. More recently, unintended (mostly negative) consequences arising from the implementation of e-health technologies have also been reported. There remains limited focus on the post-implementation outcomes for users, particularly those directly involved in e-health design processes. This paper presents detailed analysis and insights into the outcomes experienced post-implementation by a cohort of junior clinicians involved in developing an electronic clinical handover tool in Tasmania, Australia. The qualitative methods used included observations, semi-structured interviews and analysis of clinical handover notes. Significantly, a number of unanticipated flow-on effects were identified that mitigated some of the challenges arising during the design and implementation of the tool. The paper concludes by highlighting the importance of identifying post-implementation user outcomes beyond conventional system adoption and use and also points to the need for more comprehensive evaluative frameworks to encapsulate these broader socio-technical user outcomes.
Use of Clinical Simulation for Assessment in EHR-Procurement: Design of Method
Authors: Jensen Sanne  , Rasmussen Stine L.  , Lyng Karen M.
Published: February 2025

In Denmark, two large regions cooperate in a public intervention process of acquiring a new eHealth-platform to support the daily clinical work of approximately 40,000 users in 14 hospitals. It is essential that the new platform, besides fulfilling comprehensive detailed specifications, supports the daily work practice consisting of numerous mixed tasks executed by many different clinical actors in various settings. Within health informatics it has proven beneficial to use human factors approaches in the design process to secure systems that are responsive to the actual field of application. While design methods are widely described, there are very limited descriptions of how to assess and compare different EHR-platforms and their support in work processes upon its procurement. This paper describes the method we have developed to undertake this task. It is discussed how the method differs and how it has been adjusted from existing assessment methods. Finally, future considerations are discussed.
Establishing Semantic Interoperability of Biomedical Metadata Registries using Extended Semantic Relationships
Authors: Park Yu Rang  , Yoon Young Jo  , Kim Hye Hyeon  , Kim Ju Han
Published: February 2025

Achieving semantic interoperability is critical for biomedical data sharing between individuals, organizations and systems. The ISO/IEC 11179 MetaData Registry (MDR) standard has been recognized as one of the solutions for this purpose. The standard model, however, is limited. Representing concepts consist of two or more values, for instance, are not allowed including blood pressure with systolic and diastolic values. We addressed the structural limitations of ISO/IEC 11179 by an integrated metadata object model in our previous research. In the present study, we introduce semantic extensions for the model by defining three new types of semantic relationships; dependency, composite and variable relationships. To evaluate our extensions in a real world setting, we measured the efficiency of metadata reduction by means of mapping to existing others. We extracted metadata from the College of American Pathologist Cancer Protocols and then evaluated our extensions. With no semantic loss, one third of the extracted metadata could be successfully eliminated, suggesting better strategy for implementing clinical MDRs with improved efficiency and utility.
A Health Literacy and Usability Heuristic Evaluation of a Mobile Consumer Health Application
Authors: Monkman Helen  , Kushniruk Andre
Published: February 2025

Usability and health literacy are two critical factors in the design and evaluation of consumer health information systems. However, methods for evaluating these two factors in conjunction remain limited. This study adapted a set of existing guidelines for the design of consumer health Web sites into evidence-based evaluation heuristics tailored specifically for mobile consumer health applications. In order to test the approach, a mobile consumer health application (app) was then evaluated using these heuristics. In addition to revealing ways to improve the usability of the system, this analysis identified opportunities to augment the content to make it more understandable by users with limited health literacy. This study successfully demonstrated the utility of converting existing design guidelines into heuristics for the evaluation of usability and health literacy. The heuristics generated could be applied for assessing and revising other existing consumer health information systems.