bluuebunny/crossref_metadata_2025 huggingface dataset:
Finite-Time Stabilization for T-S Fuzzy Networked Systems with State and Communication Delay
Authors: Yao He-Jun  , Yuan Fu-Shun  , Qiao Yue
Published: February 2025

The finite-time stabilization problem for nonlinear networked systems has been considered. T-S approach has been used to model the controlled nonlinear systems. By using the Lyapunov functional method, a finite-time stabilization sufficient condition has been given. Then, a state feedback fuzzy controller has been designed to make the closed networked control systems finite-time stable. Finally, the proposed design method has been used into the temperature control system for polymerization reactor.
Towards a Methodology for Formalizing Legal Texts in LegalRuleML
Authors: Nazarenko Adeline  , Levy Francois  , Wyner Adam
Published: February 2025

It is well recognised that it is difficult to make the semantic content of legal texts machine readable. We propose a systematic methodology to begin to render a sample legal text into LegalRuleML, which is a proposed markup for legal rules. We propose three levels – coarse, medium, and fine-grained analyses – each of which is compatible with LegalRuleML and which facilitate development from text to formal LegalRuleML. This paper provides guidelines for a coarse-grained analysis, highlighting some of the challenges to address even at this level.
Big Data and Nursing: Implications for the Future
Authors: Topaz Maxim  , Pruinelli Lisiane
Published: February 2025

Big data is becoming increasingly more prevalent and it affects the way nurses learn, practice, conduct research and develop policy. The discipline of nursing needs to maximize the benefits of big data to advance the vision of promoting human health and wellbeing. However, current practicing nurses, educators and nurse scientists often lack the required skills and competencies necessary for meaningful use of big data. Some of the key skills for further development include the ability to mine narrative and structured data for new care or outcome patterns, effective data visualization techniques, and further integration of nursing sensitive data into artificial intelligence systems for better clinical decision support. We provide growth-path vision recommendations for big data competencies for practicing nurses, nurse educators, researchers, and policy makers to help prepare the next generation of nurses and improve patient outcomes trough better quality connected health.
Infrastructuring Multicultural Healthcare Information Systems
Authors: Dreessen Katrien  , Huybrechts Liesbeth  , Grönvall Erik  , Hendriks Niels
Published: February 2025

This paper stresses the need for more research in the field of Participatory Design (PD) and in particular into how to design Health Information Technology (HIT) together with care providers and -receivers in multicultural settings. We contribute to this research by describing a case study, the ‘Health-Cultures’ project, in which we designed HIT for the context of home care of older people with a migration background. The Health-Cultures project is located in the city of Genk, Belgium, which is known for its multicultural population, formed by three historical migration waves of people coming to work in the nowadays closed coal mines. Via a PD approach, we studied existing means of dialogue and designed HIT that both care receivers and care providers in Genk can use in their daily exchanges between cultures in home care contexts. In discussing relevant literature as well as the results of this study, we point to the need and the ways of taking spatio-historical aspects of a specific healthcare situation into account in the PD of HIT to support multicultural perspectives on healthcare.
What We Can Learn from Amazon for Clinical Decision Support Systems
Authors: Abid Sidra  , Keshavjee Karim  , Karim Arsalan  , Guergachi Aziz
Published: February 2025

Health care continue to lag behind other industries, such as retail and financial services, in the use of decision-support-like tools. Amazon is particularly prolific in the use of advanced predictive and prescriptive analytics to assist its customers to purchase more, while increasing satisfaction, retention, repeat-purchases and loyalty. How can we do the same in health care? In this paper, we explore various elements of the Amazon website and Amazon's data science and big data practices to gather inspiration for re-designing clinical decision support in the health care sector. For each Amazon element we identified, we present one or more clinical applications to help us better understand where Amazon's
All Consumer Medication Information Is Not Created Equal: Implications for Medication Safety
Authors: Monkman Helen  , Kushniruk Andre W.
Published: February 2025

Many Canadians take prescription medications. These medications often have both benefits and potential consequences associated with their use. Additionally, instructions for how to administer some medications (e.g., inhalers, eye drops) maybe be critical in maximizing the beneficial effects of using medications. This study examined the Consumer Medication Information (CMI) from a leading Canadian pharmacy and revealed none of the 10 CMI contained information about allergic reactions, overdoses, or drug interactions. This lack of information may come at the expense patient safety. Additionally, much of the content identified as important was not readily differentiable from the surrounding text. Further, inhalers were the only category of medication that did not have specific use instructions but instead directed consumers to consult other resources. Thus, there are opportunities to augment CMI to improve the safe and effective use of medications. The shortcomings of CMI identified in this study represent important considerations for CMI as it is currently delivered (printed text) and opportunities to improve upon CMI as it is beginning to be offered online.
The Impact of Computerized Provider Order Entry on Nursing Practice
Authors: Vito Rosabella  , Borycki Elizabeth M.  , Kushniruk Andre W.  , Schneider Tracey
Published: February 2025

Health information systems, such as Computerized Provider Order Entry (CPOE), are suggested to be used as an intervention for addressing errors that arise in the medication process. Nurses are involved in all stages of the medication process; however, little is known about the impact of using CPOE on nursing practice. A grounded theory approach was employed to answer the question of “How do nurses perceive the impact of CPOE on the medication process and collaborative practice?” Ten participants were interviewed. Of the ten individuals who participated in the study, eight were observed for two hours during their work shift. The data were analyzed using a constant comparative method. The participants described using CPOE that was integrated with an electronic medication administration record (eMAR). Use of CPOE had relational, contextual, cognitive, and workflow implications. The findings of this research can be used to inform workflow modeling, CPOE design, and change management.
Dermatology Disease Prediction Based on Two Step Cascade Genetic Algorithm Optimization of ANFIS Parameters
Authors: Avdagic Aja  , Begic Fazlic Lejla
Published: February 2025

The aim of this study is to present novel algorithms for prediction of dermatological disease using only dermatological clinical features and diagnoses collected in real conditions. A combination of the Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Genetic algorithm (GA) for ANFIS subtractive clustering parameter optimization has been suggested for the first level of fuzzy model optimization. After that, a genetic optimized ANFIS fuzzy structure is used as input in GA for the second level of fuzzy model optimization. We used double 2-fold Cross validation for generating different validation sets for model improvements. Our approach is performed in the MATLAB environment. We compared results with the other studies. The results confirm that the proposed model achieves accuracy rates which are higher than the one with the previous model.
Data Driven Quality Improvement of Health Professions Education: Design and Development of CLUE – An Interactive Curriculum Data Visualization Tool
Authors: Canning Claire Ann  , Loe Alan  , Cockett Kathryn Jane  , Gagnon Paul  , Zary Nabil
Published: February 2025

Curriculum Mapping and dynamic visualization is quickly becoming an integral aspect of quality improvement in support of innovations which drive curriculum quality assurance processes in medical education. CLUE (Curriculum Explorer) a highly interactive, engaging and independent platform was developed to support curriculum transparency, enhance student engagement, and enable granular search and display. Reflecting a design based approach to meet the needs of the school's varied stakeholders, CLUE employs an iterative and reflective approach to drive the evolution of its platform, as it seeks to accommodate the ever-changing needs of our stakeholders in the fast pace world of medicine and medical education today. CLUE exists independent of institutional systems and in this way, is uniquely positioned to deliver a data driven quality improvement resource, easily adaptable for use by any member of our health care professions.
A Lens for Evaluating Genetic Information Governance Models: Balancing Equity, Efficiency and Sustainability
Authors: Skorve Espen  , Vassilakopoulou Polyxeni  , Aanestad Margunn  , Grünfeld Thomas
Published: February 2025

This paper draws from the literature on collective action and the governance of the commons to address the governance of genetic data on variants of specific genes. Specifically, the data arrangements under study relate to the BRCA genes (BRCA1 and BRCA2) which are linked to breast and ovarian cancer. These data are stored in global genetic data repositories and accessed by researchers and clinicians, from both public and private institutions. The current BRCA data arrangements are fragmented and politicized as there are multiple tensions around data ownership and sharing. Three key principles are proposed for forming and evaluating data governance arrangements in the field. These principles are: equity, efficiency and sustainability.
Protecting Privacy of Genomic Information
Authors: Delgado Jaime  , Llorente Silvia  , Naro Daniel
Published: February 2025

The ISO/IEC committee in charge of standardizing the well-known MPEG audiovisual standards has launched, in cooperation with the ISO committee on Biotechnology, a new activity for efficient compressed storage and transmission of genomic information. The paper presents proposals for adding privacy and security to such in-progress standards.
A Method for Co-Designing Theory-Based Behaviour Change Systems for Health Promotion
Authors: Janols Rebecka  , Lindgren Helena
Published: February 2025

A methodology was defined and developed for designing theory-based behaviour change systems for health promotion that can be tailored to the individual. Theories from two research fields were combined with a participatory action research methodology. Two case studies applying the methodology were conducted. During and between group sessions the participants created material and designs following the behaviour change strategy themes, which were discussed, analysed and transformed into a design of a behaviour change system. Theories in behavioural change and persuasive technology guided the data collection, data analyses, and the design of a behaviour change system. The methodology has strong emphasis on the target group's participation in the design process. The different aspects brought forward related to behaviour change strategies defined in literature on persuasive technology, and the dynamics of these are associated to needs and motivation defined in literature on behaviour change. It was concluded that the methodology aids the integration of theories into a participatory action research design process, and aids the analyses and motivations of design choices.
Querying Archetype-Based Electronic Health Records Using Hadoop and Dewey Encoding of openEHR Models
Authors: Sundvall Erik  , Wei-Kleiner Fang  , Freire Sergio M.  , Lambrix Patrick
Published: February 2025

Archetype-based Electronic Health Record (EHR) systems using generic reference models from e.g. openEHR, ISO 13606 or CIMI should be easy to update and reconfigure with new types (or versions) of data models or entries, ideally with very limited programming or manual database tweaking. Exploratory research (e.g. epidemiology) leading to ad-hoc querying on a population-wide scale can be a challenge in such environments. This publication describes implementation and test of an archetype-aware Dewey encoding optimization that can be used to produce such systems in environments supporting relational operations, e.g. RDBMs and distributed map-reduce frameworks like Hadoop. Initial testing was done using a nine-node 2.2 GHz quad-core Hadoop cluster querying a dataset consisting of targeted extracts from 4+ million real patient EHRs, query results with sub-minute response time were obtained.
Architecture and Initial Development of a Digital Library Platform for Computable Knowledge Objects for Health
Authors: Flynn Allen J.  , Bahulekar Namita  , Boisvert Peter  , Lagoze Carl  , Meng George  , Rampton James  , Friedman Charles P.
Published: February 2025

Throughout the world, biomedical knowledge is routinely generated and shared through primary and secondary scientific publications. However, there is too much latency between publication of knowledge and its routine use in practice. To address this latency, what is actionable in scientific publications can be encoded to make it computable. We have created a purpose-built digital library platform to hold, manage, and share actionable, computable knowledge for health called the Knowledge Grid Library. Here we present it with its system architecture.
Why Are Children's Interests Invisible in European National E-Health Strategies?
Authors: Rigby Michael J.  , Kühne Grit  , Majeed Azeem  , Blair Mitch E.
Published: February 2025

Harnessing the power of IT solutions in child primary care requires strategic thought at national level, and good health care delivery needs this support. The aim of this study was to investigate whether children's needs are considered in national e-health strategies in Europe. In 2016, a survey was carried out in all 28 European Member States plus 2 European Economic Area countries. Sixteen countries fail to mention children's needs at all. Only eleven of 27 countries mention children and adolescents in their national e-health strategy documents ranging from mere data protection concerns to comprehensive IT approaches for the improvement of child primary care.
POSEIDON – Bringing Assistive Technology to People with Down Syndrome: Results of a Three Year European Project
Authors: Engler Anne  , Schulze Eva
Published: February 2025

The POSEIDON project aimed to increase the independence and autonomy of people with Down syndrome with the help of technical assistants. It followed a user-centered approach by involving people with Down syndrome and their parents, carers etc. A requirement analysis was the first step of the project. It became clear that people with Down syndrome especially need support in the areas of time management, mobility and money handling. Different applications were developed which were tested and evaluated in two field tests in three countries. Results indicate that POSEIDON can help to overcome daily challenges and that it can increase the autonomy and independence of people with Down syndrome.
Adaptive Pump Speed Algorithms to Improve Exercise Capacity in Patients Supported with a Left-Ventricular Assist Device
Authors: Schmidt Thomas  , Reiss Nils  , Deniz Ezin  , Feldmann Christina  , Hein Andreas  , Hoffmann Jan-Dirk  , Röbesaat Jenny Inge  , Schmitto Jan Dieter  , Willemsen Detlev  , Müller-von Aschwege Frerk
Published: February 2025

For the treatment of terminal heart failure, the therapy with left-ventricular assist devices has already been established. In the systems used today, pump speed does not adjust during physical activity so that cardiac output and exercise capacity remain markedly limited. It is the aim of this study to develop an automatic pump speed control based on filling pressure values in order to improve exercise capacity and quality of life in these patients. Different approaches are planned, to be tested in an in vitro patient simulator. The algorithms aim to match the pump speed with the increased venous return. In addition, preservation of aortic valve function should be taken into account.
Development of and Adherence to a Computer-Based Gamified Environment Designed to Promote Health and Wellbeing in Older People with Mild Cognitive Impairment
Authors: Scase Mark  , Marandure Blessing  , Hancox Jennie  , Kreiner Karl  , Hanke Sten  , Kropf Johannes
Published: February 2025

Background: The older population of Europe is increasing and there has been a corresponding increase in long term care costs. This project sought to promote active ageing by delivering tasks via a tablet computer to participants aged 65–80 with mild cognitive impairment.
Open Access Policy and Funding in Cyprus University of Technology a Case Study
Authors: Zervas Marios  , Artemi Petros  , Giannoulakis Stamatios
Published: February 2025

Today an increasing number of researchers and scientists follow Open Access. Open Access is a movement that offers researchers and the academic community the opportunity to share and access academic information freely and immediately. The Library and Information Services at the Cyprus University of Technology (CUT) has defined Open Access as one of its main strategies. An author fund has been established since 2013, with the financial support of a pharmaceutical company, in order to promote and support Open Access. Statistics of this Fund have shown that funding covers publications mainly in health sciences. These findings have allowed us to implement a new policy for the financing of Open Access publications from our university's budget, which falls within the framework of its social responsibility. However, considering the “hybrid model” and the “double dipping” which favors ‘big’ publishers, we will examine the different possibilities and present our reflections and decision for the new policy. Finally we will describe the policy implemented.
Validity of Scientometric Analysis of Medical Research Output
Authors: Masic Izet  , Begic Edin  , Begic Nedim
Published: February 2025

The aim of this paper is to point out the errors in scientometric analysis of an author's work, as well as the inconsistency of Google Scholars when performing such analyzes. Development of information technology has led to the development of the scientometric analyzes, which already have great significance for many decisions in the academic medical community, and represents a cross section of work of an author. Scientometric indices in the medical community become a tool in selecting the management of institutions, as well as membership in many academies. This paper should be a basis, as well as guidance in the development of a better and more accurate algorithm for more accurate analysis of the work of authors, and should also point the importance of accurate citations during writing scientific papers. The lack of selectivity of Google Scholar, and the possible individual manipulation of content, implies the need for further development of these platforms, so that the scientometric analysis can become a valid tool in the academic community.
On Informatics Diagnostics and Informatics Therapeutics – Good Medical Informatics Research Is Needed Here
Authors: Haux Reinhold
Published: February 2025

In the era of digitization some new procedures play an increasing role for diagnosis as well as for therapy: informatics diagnostics and informatics therapeutics. Challenges for such procedures are described. It is discussed, when research on such diagnostics and therapeutics can be regarded as good research. Examples are mentioned for informatics diagnostics and informatics therapeutics, which are based on health-enabling technologies.
Improved Prediction of Procedure Duration for Elective Surgery
Authors: Shahabikargar Zahra  , Khanna Sankalp  , Sattar Adbul  , Lind James
Published: February 2025

Accurate surgery duration estimation is essential for efficient use of hospital operating theatres and the scheduling of elective patients. This study focuses on analysing the performance of previously developed surgery duration prediction algorithms at a specialty level to gain further insight on their performance. We also evaluate algorithm performance after applying filtering to exclude unreliable data from modelling, and develop and validate new ensemble approaches for prediction. These are shown to significantly improve the prediction accuracy of the algorithms. Employing filtered data delivers a reduction in overall prediction error of 44% (Mean Absolute Percentage Error from 0.68 to 0.38) employing the Random Forests algorithm, while using the newly developed ensemble approach delivers a Mean Absolute Percentage Error of 0.31, a reduction of 55% when compared to the original error, and a reduction of 18% when compared to the Random Forests performance on filtered data.
Consumer Perspectives on MyHealth Record: A Review
Authors: Van Kasteren Yasmin  , Maeder Anthony  , Williams Patricia A.  , Damarell Raechel
Published: February 2025

The vision for Australia's national electronic health record system included empowering consumers to become active participants in their own health care. This paper aims to critically review the literature on consumer perspectives of Australia's My Health Record (formerly PCEHR). The review is based on a subset of articles (n=12) identified in the Australian EHR Repository (N=143), a repository of metadata of Australian Research on EHR located at Flinders University. Results show low levels of awareness and concerns about sharing records and equity of access for all Australians, which in view of the change from opt in to opt out raises concerns about explicit consent. Improved promotion and support, along with different models of access might lead to higher consumer engagement with, and use, of My Health Record, especially for populations at risk of digital exclusion.
Talking to Toddlers: Drawing on Mothers' Perceptions of Using Wearable and Mobile Technology in the Home
Authors: Choo Dawn  , Dettman Shani  , Dowell Richard  , Cowan Robert
Published: February 2025

Background. Mother-child interactions often give rise to opportunities for early language learning in the context of everyday life. Persuasive technology has the potential to influence maternal language behaviours in the home and promote mothers' active engagement in the development of their children's communication skills.
What Factors Determine the Use of an Electronic Test Result Acknowledgement System? – A Qualitative Study Across Two EDs
Authors: Li Julie  , Callen Joanne  , Westbrook Johanna I.  , Georgiou Andrew
Published: February 2025

Electronic medical record-based test results management interventions hold the potential to reduce errors in the test result follow-up process. However, ensuring the adaptability of such systems to the clinical environment has proven challenging. The aim of this study was to explore how contextual factors can influence senior emergency physicians' experience and perceived impacts of an electronic result acknowledgement system across two Emergency Departments. Semi-structured, in-depth interviews relating to physician test result acknowledgement processes before and after system implementation were conducted with 14 senior Emergency Physicians across two Australian metropolitan teaching hospitals. Perceived impacts of the electronic test result acknowledgement system on test result endorsement varied in terms of: changes to workflow, impacts on patient safety; and changes to documentation practices. Existing work practices and the departmental staffing mix and roles play a part in determining the nature of change that an electronic result acknowledgement system is likely to produce.
A Semantic-Based K-Anonymity Scheme for Health Record Linkage
Authors: Lu Yang  , Sinnott Richard O.  , Verspoor Karin
Published: February 2025

Record linkage is a technique for integrating data from sources or providers where direct access to the data is not possible due to security and privacy considerations. This is a very common scenario for medical data, as patient privacy is a significant concern. To avoid privacy leakage, researchers have adopted k-anonymity to protect raw data from re-identification however they cannot avoid associated information loss, e.g. due to generalisation. Given that individual-level data is often not disclosed in the linkage cases, but yet remains potentially re-discoverable, we propose semantic-based linkage k-anonymity to de-identify record linkage with fewer generalisations and eliminate inference disclosure through semantic reasoning.
Flight Delay Propagation Analysis Based on the Mechanism of the Susceptible-Infected-Susceptible Model
Authors: Wu Weiwei  , Zhang Haoyu  , Zhu Jinfu  , Witlox Frank
Published: February 2025

This paper investigates flight delay propagation in the air transport networks. An integrate flight-based susceptible-infected-susceptible (FSIS) model is generated using the mechanism of epidemic spreading. Furthermore, the propagation probability in the FSIS model is analyzed through the regression model and later applied to China Easter Airline. The results show that propagation probability varies from different routes, which related to the flight frequency of airports, route distances, scheduled buffer times, and propagated delay times, and the FSIS model can efficiently reveal the process of flight delay propagation, and evaluate the number of delayed flights.
New HRM Practices and Innovation Performance; The Moderating Role of Information Technology Ambidexterity
Authors: Waheed Abdul  , Miao Xiaoming  , Ahmad Naveed  , Waheed Salma  , Majeed Abdul
Published: February 2025

The aim of this study is to investigate the relationship between new human resource management (NHRM) practices and innovation performance. Further, the moderating role of IT ambidexterity was examined between NHRM and innovation performance. This study selected Pakistan's largest IT based semi-government organization National Database & Registration Authority (NADRA) as a case study. Data was collected from three major cities (Lahore, Gujranwala and Jhelum) of Pakistan. 500 employees of NADRA participated in the survey based study. The empirical results found the positive relationship between NHRM practices and innovation performance. The moderating influence of IT ambidexterity was also found in this study. Employees with high IT ambidexterity are more involved in innovation performance. Continuous adaption of technology enhances long term competitive advantage. Therefore, utilizing new technologies and knowledge consistently, is significant for the enhancement of innovation performance.
Toward Intelligent Traffic Light Control with Quality-of-Service Provisioning
Authors: Miao Lei  , Xu Lijian
Published: February 2025

Today's fixed-cycle traffic signaling is highly suboptimal and aggregates traffic congestion and waste of energy in urban areas. In addition, it offers no quality-of-service guarantee and makes travel time prediction extremely hard. While existing traffic light control research primarily focuses on improving the average wait time of cars, we study in this paper how traffic light scheduling affects the worst-case wait time. In particular, we derive the time a car spends at an intersection in the best-case and the worst-case, respectively. Using the theoretical results, we propose a simple but effective controller and run simulation to verify its performance. The result shows that it works much better than fixed-cycle controllers in both light and heavy traffic scenarios.
Application of Grey Correlation Matching Model on Informatizational Assessment of Ports
Authors: Zhang Min
Published: February 2025

Ports are quickening the pace of “intelligent port” with informatization exhibiting a strong competitive edge in the area of port operation. One of the challenges in the development is how to analyze the performance of informatizational applications in order to determine the main factors that affect the quality of them. According to the complex port informatizational condition and incomplete data collection, the Grey Correlation Matching Model is proposed to assess the informatization status of ports. This paper constructed the evaluation index, evaluated the index's attributes combining the Analytic Hierarchy Process (AHP), and analyzed the performance of 11 ports to rank order by using the Grey Correlation Matching Model. Compared with the grey target model, the results show that the improved algorithm is more advantageous in dealing with the informatizational assessment. Furthermore, such results can be used in future resource planning stages, at the time of improve the intelligent ports.
An Approach of Telecommunication System for Vehicles and Infrastructures
Authors: Wang Jiawei  , Xu Nan  , Liao Zhiyuan  , Fei Cong  , Li Jiaheng  , Zeng Wenpeng
Published: February 2025

This paper introduces the technical characteristics of ZigBee and Bluetooth communication protocol, the development trend and some applications in the field of intelligent traffic vehicle communication. This paper discusses the condition that traffic information is sent from the road side to the vehicle and from the vehicle to the road side through ZigBee and Bluetooth communication technology. The model is established to analyze the corresponding transmission frequency and simulate it. Expect to make a positive role in promoting the development of intelligent transportation technology.
The Use of Data Analytics to Build an Australian Context-Sensitive Health Informatics Framework for Consumer-Directed Community Aged Care
Authors: Georgiou Andrew  , Jorgensen Mikaela  , Siette Joyce  , Westbrook Johanna I.
Published: February 2025

The challenge of providing services that meet the growing needs of an ageing population is one confronted by communities across Australia and internationally. The aim of this study was to: a) undertake semi-structured interviews and focus groups across a sample of service and technical staff to identify the interconnection between communication, information, work practices and performance; and b) carry out a comprehensive review of existing data sources to identify the data linkages required to identify and monitor performance across different dimensions of the quality of aged care spectrum. The results from this study provided empirical evidence of the interconnection between communication, information, work practices and performance; and highlighted numerous potential data linkages which can be used to monitor performance across different dimensions of aged care. These included: the uptake and utilisation of community care services, community aged care client interactions and transitions (with hospitals and other health care providers), and quality of life measures (e.g., health and safety status, symptoms of depression and anxiety, social integration and mortality rates).
Parent Perception of Two Eye-Gaze Control Technology Systems in Young Children with Cerebral Palsy: Pilot Study
Authors: Karlsson Petra  , Wallen Margaret
Published: February 2025

Eye-gaze control technology enables people with significant physical disability to access computers for communication, play, learning and environmental control. This pilot study used a multiple case study design with repeated baseline assessment and parents' evaluations to compare two eye-gaze control technology systems to identify any differences in factors such as ease of use and impact of the systems for their young children. Five children, aged 3 to 5 years, with dyskinetic cerebral palsy, and their families participated. Overall, families were satisfied with both the Tobii PCEye Go and myGaze® eye tracker, found them easy to position and use, and children learned to operate them quickly. This technology provides young children with important opportunities for learning, play, leisure, and developing communication.
Gaze-Based Assistive Technology – Usefulness in Clinical Assessments
Authors: Wandin Helena
Published: February 2025

Gaze-based assistive technology was used in informal clinical assessments. Excerpts of medical journals were analyzed by directed content analysis using a model of communicative competence. The results of this pilot study indicate that gaze-based assistive technology is a useful tool in communication assessments that can generate clinically relevant information.
Home Testing of a Digital Prompter for People with Dementia
Authors: Boyd Hazel  , Evans Nina  , Cheston Richard  , Noonan Krist  , Harris Nigel
Published: February 2025

This technology evaluation study assessed a personalised digital prompter designed for people with dementia, by trialling its use in the home by people with dementia and their carers.
Optimising Service Delivery of AAC AT Devices and Compensating AT for Dyslexia
Authors: Roentgen Uta R.  , Hagedoren Edith A.V.  , Horions Katrien D.L.  , Dalemans Ruth J.P.
Published: February 2025

To promote successful use of Assistive Technology (AT) supporting Augmentative and Alternative Communication (AAC) and compensating for dyslexia, the last steps of their provision, delivery and instruction, use, maintenance and evaluation, were optimised. In co-creation with all stakeholders based on a list of requirements an integral method and tools were developed.
Standardization of Assistive Products with Robotic Technology – From a Perspective of ISO/TC173
Authors: Inoue Takenobu  , Yamauchi Shigeru  , Westman Karl-Erik
Published: February 2025

ISO/TC173 is a technical committee, in charge of international standardization of assistive products (APs). Robotic technology (RT) is currently an important topic in this field. APs with RT will be included in future revisions of the scope of TC173. Cooperation between the AP and RT space is essential to reach suitable solutions of future standardization.
Six-and-a-Half-Year Practice of Tactile Map Creation Service
Authors: Watanabe Tetsuya  , Yamaguchi Toshimitsu
Published: February 2025

To disseminate the use of tactile maps, a tactile map creation service has been offered according to the demands of blind people and their helpers. From June 2010 to December 2016, 151 tactile maps were created. Three quarters of them were maps of outdoor areas and one fifth were floor plans of a building or property. Half of the outdoor area maps were mobility maps and the other half were city maps. The service users' comments confirmed the usefulness of tactile maps as route maps and as providing information on a city. However, it was revealed that these tactile maps are too complicated for late blind people.
Asymmetry Based Parsing and Semantic Compositionality
Authors: Di Sciullo Anna Maria
Published: February 2025

The operations of the Language Faculty generate the asymmetrical structure of linguistic expressions, which provides the spine for their compositional semantics. Neuroimaging results support the structure dependent sensitivity of the brain to language processing. Psycholinguistics results on language development in the child show that language learning is structure dependent and not based on extensive training on data sets. We contrast this view of language computation and learning to Deep Learning, which is claimed to provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. Firstly, we present evidence that the human capacity for language cannot be equated to other cognitive capacities. Secondly, we argue that efficient Natural Language Processing should integrate asymmetry based parsers and we point to shortcomings of Deep Learning approaches to sentiment analysis. Lastly, we draw consequences for models of natural language processing where natural languages are not reduced to data sets.
Segmentation Based on Gabor Transformation with Machine Learning: Modeling of Retinal Blood Vessels System from RetCam Images and Tortuosity Extraction
Authors: Kubicek Jan  , Kosturikova Jana  , Penhaker Marek  , Augustynek Martin  , Kuca Kamil
Published: February 2025

In a field of the clinical ophthalmology, an analysis of the retinal blood vessels is one of the major assessments in the retinal system. Retinal blood vessels system is clinically imagined either by the fundus camera or retinal probe (RetCam 3 system). The tortuosity is important parameter assessing blood vessel curvature. Unfortunately, this parameter is usually subjectively estimated in the retinal image analysis. The main aim of the analysis is an automatic segmentation with consequent extraction and modelling of the retinal blood vessels system from RetCam 3 in the form of the binary model. Segmentation algorithm utilizes the Gabor wavelet transformation (GT) giving segmentation results for individual parameters setting. Consequent retinal blood vessels classification is carried out on the base of the linear regression with gold standard. The gold standard represents a manually labelled segmentation by the ophthalmologic experts. Binary segmentation model precisely approximates blood vessels area from other structures. This model allows for the tortuosity extraction in a form of the gradient image where each blood vessel element is described by its steepness.
A Review on Service Oriented Architecture Approach in Flood Disaster Management Framework for Sentiment Analysis: Malaysia Context
Authors: Hair Zaki Ummu Hani'  , Ibrahim Roliana  , Abd Halim Shahliza  , Yokoi Takeru
Published: February 2025

Historically, flood dominates the most occurred disasters worldwide. In Malaysia, the highest relative frequency of disaster hazards is flood. Public citizen acts as bystander contribute vital information via social media, which should be more scrutinized in a way such as sentiment analysis. Indeed, sentiment analysis has a better effect in movie or product review, survey response, political data science and social media monitoring. Important to realize, a repeated changing objective in disaster management that need to be administer is tend to have higher flexibility in response to shift disaster phases. Due to quick significant change of flood scenario, it is important to have faster improvement process. Thereupon, the practical approach mentioned here can be operationalized by the incorporation of SOA technology. This is due to the simpler service integration because SOA is supported on different platform. By incorporating SOA in flood disaster management framework for sentiment analysis, this approach leads to the reusability. The goal of this work is to review existing flood disaster management, analyzing their incorporation with sentiment analysis and SOA. It also discusses the way a SOA methodology can be effectively designed and implemented in flood disaster management framework by using sentiment analysis.
Deep Correct: Deep Learning Color Correction for Color Blindness
Authors: Petrović Gajo  , Fujita Hamido
Published: February 2025

Color vision deficiency affects 8% men and one in every 200 women. There are many different types of color blindness with the red-green as the most common. Most models for color correction are based on physiological models of how people with color vision deficiency perceive the world, with the goal of reducing errors derived from the color blindness simulation formula. In this paper we present Deep Correct, a novel Deep Learning based method for color correcting images in order to improve accessibility for people with color vision deficiency. The key elements of this work with regard to color blindness are two-fold: 1) we propose a data-driven Deep Learning approach for color correction and 2) we create an objective, quantitative metric for determining the distinguishability of images. Additionally, as a more general Deep Learning contribution, we propose a new method of training neural networks by utilizing error gradients from pretrained networks in order to train new, smaller networks.
A Qualitative Image Descriptor QIDL
Authors: Falomir Zoe
Published: February 2025

A model for obtaining a real-world scene narrative using qualitative features of shape, colour, topology, location and size is presented in this paper (QIDL+N). Its main aim is describing the location of target objects with respect to known or unknown objects in a scene. The QIDL+N produces: (i) a logical description in Prolog for users to solve queries on the knowledge base built for each scene or for agents to reason about that scene; and (ii) a narrative in English language to read or listen to which may improve human-AmI-systems interaction, specially helping those users with special needs. A use case of a top desk scene is used to illustrate the approach and promising results are obtained.
Planning Clearing Actions in Cluttered Scenes by Phasing in Geometrical Constraints
Authors: Covallero Nicola  , Martínez David  , Alenyà Guillem  , Torras Carme
Published: February 2025

Manipulation planning of cluttered objects involves a mixture of symbolic and geometric constraints which makes such planning very time consuming and often unsuitable for real applications. We propose to divide the geometric restrictions in two groups. The ones in the first group are used to generate a set of symbolic states used for planning. The evaluation of the ones in the second group is delayed after planning, and only relevant ones are evaluated when necessary. We demonstrate our proposal in a simple but effective implementation using pushing and grasping actions.
Alarm Fatigue: Causes and Effects
Authors: Wilken Marc  , Hüske-Kraus Dirk  , Klausen Andreas  , Koch Christian  , Schlauch Wolfgang  , Röhrig Rainer
Published: February 2025

The term “Alarm fatigue” is commonly used to describe the effect which a high number of alarms can have on caregivers: Frequent alarms, many of which are avoidable, can lead to inadequate responses, severely impacting patient safety. In the first step of a long-term effort to address this problem, both the direct and indirect impact of alarms, as well as possible causes of unnecessary alarms were focused. Models of these causes and impacts were developed using a scoping review which included guided interviews with experts from medical informatics, clinicians and medical device manufacturers. These models can provide the methodical grounds for the definition of targeted interventions and the assessment of their effects.
Taking Nursing Informatics into the Future
Authors: Madsen Inge
Published: February 2025

The new board EFMIs Working Group have has planned the future strategy for involving nurses in informatics. The strategy is to bring nursing informatics into the future. It is important to ensure that the next generation of nurses is involved in the work with Nursing Informatics and share knowledge. It must be done with a targeted effort including of social media and a more offensive effort at the annual MIE meetings.
Research on Emergence of Complex Adaptive System Driven by Individual Rules
Authors: Zhang Hebing  , Zheng Xiaojing
Published: February 2025

This paper studies the emergent property of complex adaptive system of group behavior driven by the individual by the agent simulation method in an example of urbanization. It is considered that urbanization is a stochastic process of graph. The payoff of an arbitrary city can be regarded as the corresponding payoff coming from the interacting with the other cities, and it must rely on its local topological configuration. Meantime urbanization is also a complex adaptive system. When the system is under attack, it has a strong criticality, and this critical probability of attack relies on the payments of agents in the system.
IPv4/IPv6-Independent Termination Based on the QinQ Technology
Authors: Bian Yong-tao
Published: February 2025

The QinQ + DHCP mode is used for solving problems such as Campus Network IP conflicts, ARP virus overflow, and Broadcasting excess flow. Therefore, this model is being adopted by a large number of colleges and universities. At present, many colleges and universities access IPv6 networks. However, some BRAS devices that focus on IPv4 applications do not support IPv6 addresses with stateful assignments. If stateless address allocation occurs, a large number of logical subinterfaces are often created, and many lines of command lead to low efficiency. This study aimed to investigate the practical significance of IPv4/IPv6-independent termination using the QinQ technology. In the QinQ architecture, a small BRAS device supporting the IPv6 address state assignment can be added, and the IPv4/IPv6-independent termination can be achieved using a virtual local area network transmission technology.
Autonomous Precision Landing for Commercial UAV: A Review
Authors: Noor M.B.M.  , Ismail M.A.  , Khyasudeen M.F.  , Shariffuddin A.  , Kamel N.I.  , Azzuhri Saaidal R.
Published: February 2025

This paper reviews a various methods exploring the topic of unmanned aerial vehicles (UAV) autonomous precision landing, covering two types of commercial UAVs, multi-rotor and fixed-wing UAVs. Four general methods gain the most eminence for the autonomous precision landing, which generally known as visual processing landing, satellite navigations landing, ground station navigation landing, and arrestor recovery landing. The assessment of the landing accuracies of each method are assessed and compared, if the results are being made available in the reviewed research articles. We also discussed the recent breakthroughs in sensors, processor, and flight technologies that can further improve the accuracy of UAV autonomous precision landing.
Arden Syntax Clinical Foundation Framework for Event Monitoring in Intensive Care Units: Report on a Pilot Study
Authors: de Bruin Jeroen S.  , Zeckl Julia  , Adlassnig Katharina  , Blacky Alexander  , Koller Walter  , Rappelsberger Andrea  , Adlassnig Klaus-Peter
Published: February 2025

The creation of clinical decision support systems has received a strong impulse over the last years, but their integration into a clinical routine has lagged behind, partly due to a lack of interoperability and trust by physicians. We report on the implementation of a clinical foundation framework in Arden Syntax, comprising knowledge units for (a) preprocessing raw clinical data, (b) the determination of single clinical concepts, and (c) more complex medical knowledge, which can be modeled through the composition and configuration of knowledge units in this framework. Thus, it can be tailored to clinical institutions or patients' caregivers. In the present version, we integrated knowledge units for several infection-related clinical concepts into the framework and developed a clinical event monitoring system over the framework that employs three different scenarios for monitoring clinical signs of bloodstream infection. The clinical event monitoring system was tested using data from intensive care units at Vienna General Hospital, Austria.
Effective Usability Engineering in Healthcare: A Vision of Usable and Safer Healthcare IT
Authors: Kushniruk Andre  , Senathirajah Yalini  , Borycki Elizabeth
Published: February 2025

Persistent problems with healthcare IT that is unusable and unsafe have been reported worldwide. In this paper we present our vision for deploying usability engineering in healthcare in a more substantive way in order to improve the current situation. The argument will be made that stronger and more substantial efforts need to be made to bring multiple usability engineering methods to bear on points in both system design and deployment (and not just as a one-time effort restricted to software product development). In addition, improved processes for ensuring the usability of commercial vendor-based systems being implemented in healthcare organizations need to be addressed. A discussion will also be provided on challenges and barriers that will need to be overcome to ensure that the heatlhcare IT that is released is both usable and safe.