bluuebunny/crossref_metadata_2025 huggingface dataset:
Learning the Repair Urgency for a Decision Support System for Tunnel Maintenance
Authors: Gatsoulis Y.  , Mehmood M.O.  , Dimitrova V.G.  , Magee D.R.  , Sage-Vallier B.  , Thiaudiere P.  , Valdes J.  , Cohn A.G.
Published: February 2025

The transport network in many countries relies on extended portions which run underground in tunnels. As tunnels age, repairs are required to prevent dangerous collapses. However repairs are expensive and will affect the operational efficiency of the tunnel. We present a decision support system (DSS) based on supervised machine learning methods that learns to predict the risk factor and the resulting repair urgency in the tunnel maintenance planning of a European national rail operator. The data on which the prototype has been built consists of 47 tunnels of varying lengths. For each tunnel, periodic survey inspection data is available for multiple years, as well as other data such as the method of construction of the tunnel. Expert annotations are also available for each 10m tunnel segment for each survey as to the degree of repair urgency which are used for both training and model evaluation. We show that good predictive power can be obtained and discuss the relative merits of a number of learning methods.
ONE – A Personalized Wellness System
Authors: Chander Ajay  , Srinivasan Ramya
Published: February 2025

As the world becomes increasingly digitally readable through a variety of sensors, digital services will play a key role in advising and supporting people towards a variety of goals. In this paper, we present a personalized wellness system that leverages techniques from cognitive science and machine learning to improve a user's well-being by suggesting daily micro-goals (e.g., “bring a healthy snack to work”), and by enabling social sharing of individual achievements. Specifically, we propose a method for estimating a user's likelihood of successfully completing a given micro-goal (“ONE”) and study the correlation between ONEs and users' actions to improve their chances of reaching their wellness objectives.
A Reinforcement Learning Framework for Trajectory Prediction Under Uncertainty and Budget Constraint
Authors: Le Truc Viet  , Liu Siyuan  , Lau Hoong Chuin
Published: February 2025

We consider the problem of trajectory prediction, where a trajectory is an ordered sequence of location visits and corresponding timestamps. The problem arises when an agent makes sequential decisions to visit a set of spatial locations of interest. Each location bears a stochastic utility and the agent has a limited budget to spend. Given the agent's observed partial trajectory, our goal is to predict the agent's remaining trajectory. We propose a solution framework to the problem that incorporates both the stochastic utility of each location and the budget constraint. We first cluster the agents into groups of homogeneous behaviors called “agent types”. Depending on its type, each agent's trajectory is then transformed into a discrete-state sequence representation. Based on such representations, we use reinforcement learning (RL) to model the underlying decision processes and inverse RL to learn the utility distributions of the spatial locations. We finally propose two decision models to make predictions: one is based on long-term optimal planning of RL and another uses myopic heuristics. We apply the framework to predict real-world human trajectories collected in a large theme park and are able to explain the underlying processes of the observed actions.
A Bayesian Approach to Norm Identification
Authors: Cranefield Stephen  , Meneguzzi Felipe  , Oren Nir  , Savarimuthu Bastin Tony Roy
Published: February 2025

When entering a system, an agent should be aware of the obligations and prohibitions (collectively norms) that affect it. Existing solutions to this norm identification problem make use of observations of either norm compliant, or norm violating, behaviour. Thus, they assume an extreme situation where norms are typically violated, or complied with. In this paper we propose a Bayesian approach to norm identification which operates by learning from both norm compliant and norm violating behaviour. We evaluate our approach's effectiveness empirically and compare its accuracy to existing approaches. By utilising both types of behaviour, we not only overcome a major limitation of such approaches, but also obtain improved performance over the state of the art, allowing norms to be learned with fewer observations.
Welfare of Sequential Allocation Mechanisms for Indivisible Goods
Authors: Aziz Haris  , Kalinowski Thomas  , Walsh Toby  , Xia Lirong
Published: February 2025

Sequential allocation is a simple and attractive mechanism for the allocation of indivisible goods used in a number of real world settings. In sequential allocation, agents pick items according to a policy, the order in which agents take turns. Sequential allocation will return an allocation which is Pareto efficient – no agent can do better without others doing worse. However, sequential allocation may not return the outcome that optimizes the social welfare. We consider therefore the relationship between the welfare and the efficiency of the allocations returned by sequential allocation mechanisms. We then study some simple computational questions about what welfare is possible or necessary depending on the choice of policy. Over half the problems we study turn out to be tractable, and we give polynomial time algorithms to compute them. We also consider a novel control problem in which the Chair chooses a policy to improve social welfare. Again, many of the control problems we study turn out to be tractable, and our results give polynomial time algorithms. In this case, tractability is a good thing so that the Chair can improve the social welfare of the allocation.
h-Index Manipulation by Undoing Merges
Authors: van Bevern René  , Komusiewicz Christian  , Molter Hendrik  , Niedermeier Rolf  , Sorge Manuel  , Walsh Toby
Published: February 2025

The h-index is an important bibliographic measure used to assess the performance of researchers. Van Bevern et al. [Artif. Intel., to appear] showed that, despite computational worst-case hardness results, substantial manipulation of the h-index of Google Scholar author profiles is possible by merging articles. Complementing this work, we study the opposite operation, the splitting of articles, which is arguably the more natural operation for manipulation and which is also allowed within Google Scholar. We present numerous results on computational complexity (from linear-time algorithms to parameterized computational hardness results) and empirically indicate that at least small improvements of the h-index by splitting merged articles are easily achievable.
Binary Decision Diagram Algorithms to Perform Hard Analysis Operations on Variability Models
Authors: Heradio Ruben  , Perez-Morago Hector  , Fernandez-Amoros David  , Bean Roberto  , Cabrerizo F. Javier  , Cerrada Carlos  , Herrera-Viedma Enrique
Published: February 2025

Variability models play a key role in software product line engineering as they are used to represent the common and variable features that products may include, and what constraints among the features must be satisfied to guarantee the validity of the products. Valuable analysis operations on variability models can be performed by black box reusing logic engines, such as SAT-solvers and binary decision diagram libraries. Unfortunately, such kind of reuse implies long computation times for operations that need calling the engines many times. To overcome this problem, we propose new algorithms that directly deal with the data structure of a binary decision diagram encoding a variability model. In particular, our algorithms are specifically designed to detect core & dead features, and the impact & exclusion sets of every feature.
Enhanced Integration Support for Reliability Prediction
Authors: Pham Thanh-Trung  , Vazhenin Alexander P.
Published: February 2025

This paper presents RMPI-SerComp that offers enhanced integration support into service composition frameworks for RMPI, a recent model-based software reliability prediction technique. Our approach enables service composition frameworks to achieve a systematic consideration of service reliability during composing, without the need for any specialist knowledge of the underlying prediction method. Via a case study, we validate the applicability of our approach by utilizing RMPI-SerComp to integrate the reliability prediction capability into a service composition framework.
Influence of Human Factor Issues on Patient-Centered mHealth Apps' Impact; Where Do We Stand?
Authors: Wildenbos G.A.  , Peute L.W.  , Jaspers M.W.M.
Published: February 2025

This paper discusses the preliminary results of a literature review on studies published in 2014–2015 concerning patient-centered mHealth applications' (apps) impact. Abstracts were included when they described a mHealth app targeted at patients and reported on the effects of this app on patient care. From a total of 559 potentially relevant articles, 17 papers were finally included. Nine studies reported a positive impact of the patient-centered mHealth app on patient care; 4 of these studies were randomized controlled trials. Measured impacts in the 17 studies focused on improving patients' physical activity, self-efficacy and medication adherence. Human factors issues potentially mediating these effects were discussed in all studies. Transitions in the interaction between healthcare providers and their patients were most often discussed as influencing the impact of the mHealth app. More research is needed, focussing on human issues mediating the effect of patient-centered mHealth apps to precipitate knowledge on the effectiveness of mHealth. This research should preferably be guided by socio-technical models.
An Ontological Model of Behaviour Theory to Generate Personalized Action Plans to Modify Behaviours
Authors: Baig Wasif  , Abidi Samina  , Abidi Syed Sibte Raza
Published: February 2025

Behavior change approaches aim to assist patients in achieving self-efficacy in managing their condition. Social cognitive theory (SCT) stipulates self-efficacy as a central element to behavior change and provides constructs to achieve self-efficacy guided by person-specific action plans. In our work, to administer behaviour change in patient with chronic conditions, our approach entails the computerization of SCT-based self-efficacy constructs in order to generate personalized action plans that are suitable to an individual's current care scenario. We have taken a knowledge management approach, whereby we have computerized the SCT-based self-efficacy constructs in terms of a high-level SCT knowledge model that can be operationalized to generate personalized behaviour change action plans. We have collected and computerized behavior change content targeting healthy living and physical activity. Semantic web technologies have been used to develop the SCT knowledge model, represented in terms of an ontology and SWRL rules. The ontological SCT model can inferred to generate personalized self-management action plans for a given patient profile. We present formative evaluation of the clinical correctness and relevance of the generated personalized action plans for a range of test patient profiles.
Implementation of an ODM and HL7 Compliant Electronic Patient-Reported Outcome System
Authors: Soto-Rey Iñaki  , Dugas Martin  , Storck Michael
Published: February 2025

Interoperability is one of the biggest issues in health informatics despite of the huge effort invested to solve it. Clinical Data Interchange Standards Consortium (CDISC) and Health Level 7 (HL7) are two of the most recognized institutions working on this field. Several systems are becoming compliant with their standards; however, the process to accomplish it is not always straightforward. In this manuscript, we present the successful implementation of the CDISC ODM and HL7 import and export functions for “MoPat”, a web-based multi-language electronic patient-reported outcomes system. The system has been evaluated and tested and is currently being used for clinical study and routine data collection, including more than 10.000 patient encounters.
Decision System Integrating Preferences to Support Sleep Staging
Authors: Ugon Adrien  , Sedki Karima  , Kotti Amina  , Seroussi Brigitte  , Philippe Carole  , Ganascia Jean-Gabriel  , Garda Patrick  , Bouaud Jacques  , Pinna Andrea
Published: February 2025

Scoring sleep stages can be considered as a classification problem. Once the whole recording segmented into 30-seconds epochs, features, extracted from raw signals, are typically injected into machine learning algorithms in order to build a model able to assign a sleep stage, trying to mimic what experts have done on the training set. Such approaches ignore the advances in sleep medicine, in which guidelines have been published by the AASM, providing definitions and rules that should be followed to score sleep stages. In addition, these approaches are not able to solve conflict situations, in which criteria of different sleep stages are met. This work proposes a novel approach based on AASM guidelines. Rules are formalized integrating, for some of them, preferences allowing to support decision in conflict situations. Applied to a doubtful epoch, our approach has taken the appropriate decision.
Participatory Heuristic Evaluation of the Second Iteration of the eWALL Interface Application
Authors: Hangaard Stine  , Schaarup Clara  , Hejlesen Ole K.
Published: February 2025

The number of people having a chronic disease is increasing. Telehealth may provide an alternative to traditional medicine as telehealth solutions have shown to have a positive influence on quality of live and to decrease the number of hospital visits. A new telehealth solution is the eWALL system. Previously, the eWALL interface application has been evaluated using participatory heuristic evaluation (PHE). The previous round of PHE lead to drastic changes of the eWALL interface application. Consequently, a second round of PHE was performed. Five usability experts and two work-domain professionals inspected the eWALL interface application and identified usability problems (n = 384). The work domain professionals had a tendency to use other heuristics than the usability experts highlighting the relevance of using PHE in an interface development process.
Integrating Electronic Health Record Competencies into Undergraduate Health Informatics Education
Authors: Borycki Elizabeth M.  , Griffith Janessa  , Kushniruk Andre W.
Published: February 2025

In this paper we report on our findings arising from a qualitative, interview study of students' experiences in an undergraduate health informatics program. Our findings suggest that electronic health record competencies need to be integrated into an undergraduate curriculum. Participants suggested that there is a need to educate students about the use of the EHR, followed by best practices around interface design, workflow, and implementation with this work culminating in students spearheading the design of the technology as part of their educational program of study.
Patients' Perception of Clinicians Use of ICT During Patient Consultation in the Different Sectors of Danish Healthcare
Authors: Petersen Lone Stub  , Bertelsen Pernille
Published: February 2025

In Denmark ICT is a central part of almost all healthcare professionals' daily practices, and patients are increasingly encouraged to take and active interest in own health data. Therefore, ICT is an important part of what happens at consultations between the patients and the healthcare professionals. We explore the impact of ICT based on a survey of citizens'/patients' experience of interaction with healthcare professionals. How often and for what ICT was used in communication with the patients in different sectors of the Danish healthcare. The results show that ICT is used in communication with citizens and during interaction with patient, however the use of ICT is mostly for the healthcare professionals own benefit and only about 15%–39% of the reported instances ICT was used to communication and interact with the patient. Through the concept of boundary objects we proposes a model that split the object of the technology mediated information into three setting for communication between patients and healthcare professionals. We propose further studies into how ICT can be used to explore the possibilities for more interactive and involving care processes as a key element in further development of eHealth.
Contactless Patient Monitoring for General Wards: A Systematic Technology Review
Authors: Naziyok Tolga P.  , Zeleke Atinkut A.  , Röhrig Rainer
Published: February 2025

Introduction: Sudden, serious life-threatening situations happen even on general wards. Current technologies are working with sensors which are attached to every patient, which is a source of failures and false alarms. The goal of this review was to assess the state of the art of potential techniques for contactless patient monitoring in general wards.
Expectation-Driven Text Extraction from Medical Ultrasound Images
Authors: Reul Christian  , Köberle Philipp  , Üçeyler Nurcan  , Puppe Frank
Published: February 2025

In this study an expectation-driven approach is proposed to extract data stored as pixel structures in medical ultrasound images. Prior knowledge about certain properties like the position of the text and its background and foreground grayscale values is utilized. Several open source Java libraries are used to pre-process the image and extract the textual information. The results are presented in an Excel table together with the outcome of several consistency checks. After manually correcting potential errors, the outcome is automatically stored in the main database. The proposed system yielded excellent results, reaching an accuracy of 99.94% and reducing the necessary human effort to a minimum.
User Oriented Platform for Data Analytics in Medical Imaging Repositories
Authors: Valerio Miguel  , Godinho Tiago Marques  , Costa Carlos
Published: February 2025

The production of medical imaging studies and associated data has been growing in the last decades. Their primary use is to support medical diagnosis and treatment processes. However, the secondary use of the tremendous amount of stored data is generally more limited. Nowadays, medical imaging repositories have turned into rich databanks holding not only the images themselves, but also a wide range of metadata related to the medical practice. Exploring these repositories through data analysis and business intelligence techniques has the potential of increasing the efficiency and quality of the medical practice. Nevertheless, the continuous production of tremendous amounts of data makes their analysis difficult by conventional approaches. This article proposes a novel automated methodology to derive knowledge from medical imaging repositories that does not disrupt the regular medical practice. Our method is able to apply statistical analysis and business intelligence techniques directly on top of live institutional repositories. It is a Web-based solution that provides extensive dashboard capabilities, including complete charting and reporting options, combined with data mining components. Moreover, it enables the operator to set a wide multitude of query parameters and operators through the use of an intuitive graphical interface.
Constructing an ROC Curve to Assess a Treatment-Predictive Continuous Biomarker
Authors: Engelhardt Alexander  , Shen Yu-Ming  , Mansmann Ulrich
Published: February 2025

This paper presents the idea of an ROC curve, which quantifies the discriminatory potential of a continuous biomarker for treatment selection when the outcome is continuous. The analysis assumes data from a randomized parallel group design. We use non-parametric density estimators to construct an ROC curve based on the probabilities that a (non-)responder, defined by better (worse) response to treatment as opposed to control, in the treatment group has a biomarker value above a value c. Our non-parametric approach comes close to the true AUC in a simulation study based on a normal distribution. Application to a real data set shows that despite a significant interaction term in a proportional hazards model, a biomarker may not be helpful for treatment decisions. Our proof-of-principle study opens the door to further developments and generalizations.
Developing and Implementing Patients' Full-Scale Electronic Access to Their Health Record
Authors: Sørensen Tove  , Johansen Monika A.
Published: February 2025

To increase patients' empowerment and involvement in their own health, several countries has decided to provide patients with electronic access to their health record. This paper reports on the main findings from sub-studies and pilots prior to the implementation of patients' access to their medical records in large-scale in the Northern Norway Region. The largest pilot included nearly 500 patients. Data for the participatory design process was collected through questionnaires and interviews. The results revealed that the service in general functioned as expected. The patients reported that they would continue to use the service, recommend it to others, and generally had no problems in understanding the content.
Development of a Clinical Decision Support System for the Patients of a Laboratory Service
Authors: Semenov Ilya  , Kopanitsa Georgy
Published: February 2025

The paper presents the results of the development and implementation of an expert system that automatically generates doctors' letters based on the results of laboratory tests. Medical knowledge is expressed using a first order predicate logic based language. The system was implemented and evaluated in the Helix laboratory service.
Connecting ABT with a SAT Solver
Authors: Giráldez-Crú Jesús  , Martín-Sánchez Guillermo  , Meseguer Pedro
Published: February 2025

Many real-world problems are encoded into SAT instances and efficiently solved by CDCL (Conflict-Driven Clause Learning) SAT solvers. However, some scenarios require distributed problem solving approaches. Privacy is often the main reason. This motivates the need to solve distributed SAT problems We analyze how this problem can be tacked in an efficient way, and present ABTSAT, a new version of the ABT (Asynchronous Backtracking) algorithm adapted to solve distributed SAT instances. It combines ABT execution with calls to CDCL SAT solvers and clause learning. ABTSAT is sound and complete, properties inherited from ABT, and solves local problems efficiently by using CDCL SAT solvers.
OHDOCLUS – Online and Hierarchical Document Clustering
Authors: Encarnação Rui  , Oliveira Hugo Gonçalo
Published: February 2025

Usually, clustering algorithms consider that document collections are static and are processed as a whole. However, in contexts where data is constantly being produced (e.g. the Web), systems that receive and process documents incrementally are becoming more and more important. We propose OHDOCLUS, an online and hierarchical algorithm for document clustering. OHDOCLUS creates a tree of clusters where documents are classified as soon as they are received. It is based on COBWEB and CLASSIT, two well-known data clustering algorithms that create hierarchies of probabilistic concepts and were seldom applied to text data. An experimental evaluation was conducted with categorized corpora, and the preliminary results confirm the validity of the proposed method.
Transforming Inclusion: Designing in the Experience of Greater Technological Possibility
Authors: Bridge Catherine  , Demirbilek Oya  , Mintzes Alicia
Published: February 2025

Universal Design seeks to contribute to the sustainability and inclusivity of communities and co-design and participatory methods are a critical tool in this evolution. The fact that technology permeates our society is undeniable and the form and materials that technology takes in turn shape the basics of human life such as being able to shower and toilet oneself. In contrast, the various existing approaches to co-design have very different sorts of metaphysical, epistemological and normative assumptions behind them. As a result, design has recognised a set of problems surrounding the position of the “user” in design innovation. Additionally, there are many different perspectives on technology and the role of technology in co-design methods. Consequently, there are a number of different ways of conceiving of the “problem” of integrating technologies into co-design methods. Traditionally, participatory design has been viewed as merely the insertion of a more public dialog of the potential target market within technological design practices. Our research indicates that most if not all co-designers rely on their own personal and collective knowledge and experience and that if this is not actively explored as a part of a co-design methodology that both participation and innovation will be less than hoped for. For instance, assuming only known fixtures, fittings with current codes and standards is unlikely to result in product innovation.
Universal Mosque/Masjid Design
Authors: Al-Mansoor Nazem Fawzi
Published: February 2025

As a public building, a mosque (or any prayer area for Muslims in public buildings) should remove all barriers that may confront persons with disabilities and hinder them from performing their religious rituals. A mosque is regularly used at least five times a day for praying, and for weekly events such as Jumu'ah (Friday prayers). Therefore. a mosque should be accessible for all. But in fact, persons with disabilities still find difficulties in accessing mosques. For example, the calling to prayer and Friday sermon (Khutba) through loudspeakers, is a problem for persons with hearing loss. Persons with physical disabilities, especially users of wheelchairs, walkers or crutches, have difficulties in several areas in the mosque, including the entrance, place of ablution, the lavatories and the area for removing shoes at the entrance to the prayer hall. People are not allowed to enter the place of ablution or prayer hall wearing shoes, people are also not allowed to enter with their personal mobility devices. This is so that dirt from outside does not get carried into the mosque. In order to understand the accessibility requirements for persons with disabilities in a mosque, we have to know the essential parts in the construction of the mosque and the mobility pattern that usually occurs in a mosque. In this paper, an accessibility checklist which has been developed on the basis of an analysis of accessibility requirements in mosques is presented.
Universal Design in a Zoological Setting
Authors: Trieglaff Mark
Published: February 2025

Universal Design in planning for exhibiting animal collections for the public has been a part of the culture of one particular zoo in the US. This paper looks at the steps in designing a zoological park that is universally accessible to all visitors.
Mobility Experience of Persons with Visual Impairments in Indian Railway Station Environments
Authors: Raheja Gaurav  , Tyagi Megha
Published: February 2025

Mobility for persons with visual impairments in Indian railway stations poses multidimensional challenges for access to an inclusive travel experience. India is a home to about twenty million persons with diverse disabilities out of which about five million are persons with visual impairments. Diversity of passenger movements on a railway station including persons with visual impairments requires a Universal Design approach to respond to the accessibility issues in these contexts. This research study is based on a series of live on-site experiences conducted along with persons with visual impairments at New Delhi Railway Station. It also includes the generic studies carried out with other diversities of railway passengers including aging, gender and diverse physical abilities. It employs research methods like ethnography, focus group interactions and trace study to develop a deeper understanding of human and spatial parameters of mobility in railway station environments. A Universal Design perspective with a holistic understanding remains critical to the foundation of this research study. While it deals in specific requirements of persons with visual impairments, it also brings an illustration of handling diversity on a railway station from a unique Indian perspective. It concludes by highlighting and reinterpreting the Universal Design India Principles integrating the needs of persons with visual impairments in railway station environments. Brief recommendation for an inclusive mobility experience on railway station forms a vital part of this grounded research study.
Wayfinding Design for Amherst Senior Center
Authors: Kim Karen
Published: February 2025

This paper presents a design case of wayfinding design for a senior centre located in Amherst, New York. The design case proposed a new signage system and colour coding scheme to enhance the wayfinding experience of seniors, visitors, and staff members at Amherst Senior Center.
Mobile App to Assess Universal Access Compliance
Authors: Fransolet Colette
Published: February 2025

In terms of local legislation, South Africa has a handful of regulations that indirectly require Universal Access, which is then in itself largely described as facilities for people with disabilities. The most predominant set of regulations is the South African National Building Regulations, with a specific code which is deemed to satisfy standard titled South African National Standard (SANS) 10400 Part S: Facilities for Persons with Disabilities. Revised in 2011, this building regulation offers some technical guidelines specific to built infrastructure, and largely for people with functional mobility limitations. The description of the term “functional mobility limitations” in the context of this paper refers to people who make use of mobility aids to assist with their functionality in an environment, for example people who use walking aids (sticks, canes or walkers) and people who use wheelchairs. Albeit lacking in specifics around the requirements for other areas of functional limitations, including people who are blind, people who are deaf, and people with cognitive limitations, the SANS 10400 Part S is, to date, the most effective regulatory requirement in the country to assist with making facilities more accessible. With only a few experts in South Africa working in the field, the ability to offer clients Universal Access Reviews in terms of basic compliance with the SANS 10400 Part S is limited by two major factors. Firstly, the costs associated with employing experts in the field to review infrastructure is mostly too exorbitant for clients to carry. Secondly, the amount of time taken to perform reviews onsite and then collate the information into a coherent report for the client is far too long. These aspects result in a gap between clients wanting to meet the requirements, and being able to have the work completed in a reasonable amount of time. To overcome the challenge of larger institutions and organizations wanting to have their facilities reviewed in terms of compliance with National Building Regulations, within a tight budget as well as within minimal timeframes, an innovative mobile application was developed by Universal Design Africa. This App heralds the dawn of a new method to measure universal access compliance. The operation and format of this technology and its application could be adapted to meet all forms of compliance and information gathering, including international regulations and best practice.
Mapping Norway – A Method to Register and Survey the Status of Accessibility
Authors: Bögelsack Kathrin  , Michaelis Sven
Published: February 2025

The Norwegian mapping authority has developed an APP and a standard method for mapping accessibility for people with limited or no walking abilities, the blind and the partially sighted in urban and recreational areas. We choose an object-orientated approach where points, lines and polygons represents objects in the environment. All data are stored in a geospatial database, so they can be presented as web map and analysed using GIS software. To this day, more than 160 municipalities are mapped using that method. The aim of this project is to establish a national standard for mapping and to provide a geodatabase that shows the status of accessibility throughout Norway. The data provide a useful tool for national statistics, local planning authorities and private users. First results show that accessibility is low and Norway still faces many challenges to meet the government's goals for Universal Design.
Forbidden Sets in Argumentation Semantics
Authors: Dunne Paul E.
Published: February 2025

We consider an alternative interpretation of classical Dung argumentation framework (af) semantics by introducing the concept of “forbidden sets”. In informal terms, such sets are well-defined with respect to any extension-based semantics and reflect those subsets of argument that collectively can never form part of an acceptable solution. The forbidden set paradigm thus provides a parametric treatment of extension-based semantics. We present some general properties of forbidden set structures and describe the interaction between forbidden sets for a number of classical semantics. Finally we establish some initial complexity results in the arena of forbidden set decision problems.
A System for Supporting the Detection of Deceptive Reviews Using Argument Mining
Authors: Cocarascu Oana  , Toni Francesca
Published: February 2025

The unstoppable rise of social networks and the web is facing a serious challenge: identifying the truthfulness of online opinions and reviews. We propose a system to identify two new argumentative features that a trained classifier can use to help determine whether a review is deceptive.
Planning with Partially Specified Behaviors
Authors: Segovia-Aguas Javier  , Ferrer-Mestres Jonathan  , Jonsson Anders
Published: February 2025

In this paper we present a framework called Planning with Partially Specified Behaviors, or PPSB, for combining reinforcement learning and planning to solve sequential decision problems. Although not often combined, we show that reinforcement learning and planning complement each other well, in that each can take advantage of the strengths of the other. PPSB uses partial action specifications to decompose sequential decision problems into tasks that serve as an interface between reinforcement learning and planning. On the bottom level, we use reinforcement learning to compute policies for achieving each individual task. On the top level, we use planning to produce a sequence of tasks that achieves an overall goal. We validate PPSB in experiments in which a robot has to perform tasks in a realistic simulated environment.
Towards Multilingual Natural Language Generation Within Abstractive Summarization
Authors: Mille Simon  , Ballesteros Miguel  , Burga Alicia  , Casamayor Gerard  , Wanner Leo
Published: February 2025

We present work in progress that tackles the problem of multilingual text summarization using semantic representations. As opposed to extractive summarization, in which text fragments are selected and a summary is assembled from them, our abstractive summarizer is based on abstract linguistic structures obtained from an analysis pipeline of disambiguation, syntactic and semantic parsing tools. The resulting structures are stored in a semantic repository, from which a text planning component produces content plans that go through a multilingual generation pipeline that eventually returns text in English, Spanish, French and/or German. We focuse on the multilingual generation part of the problem.
Towards the First Dictation System for Latvian Language
Authors: Salimbajevs Askars
Published: February 2025

In this paper, we introduce the first dictation system for the Latvian language. We present its main features, the details of the automatic speech recognition (ASR) system used in this service, software architecture, and an evaluation of recognition quality. The service will provide Latvian-speaking people with the opportunity to dictate text in Latvian into their computers. The presented system achieved a word error rate (WER) of 23.86% in evaluation of dictation scenario, which is a good result for a system in the beta stage.
Searching for the Best Translation Combination Across All Possible Variants
Authors: Rikters Matīss
Published: February 2025

This paper presents an attempt to improve a specific baseline hybrid machine translation (MT) combination system by using brute force and searching through all possibilities for the best-combined translation instead of incrementally building the translation piece by piece. The result is an improved phrase-based multi-system MT system that allows improves the quality of the MT output compared to the baseline while taking much more time to produce the final output. The proposed approach shows improvement up to +3.34 points in BLEU score compared to the baselines and up to +3.61 BLEU compared to related research.
Interactive Games for Home Delivery of Exercise and Rehabilitation Interventions for Older Adults: An Australian Perspective
Authors: Smith Stuart Trevor  , Bird Marie-Louise
Published: February 2025

Over the past few decades there has been a wealth of published scientific evidence for the physical, cognitive and social health-related benefits of increased physical activity, especially in older adults and people living with chronic disease. Despite the clear evidence base demonstrating the health-related benefits of physical activity, uptake and adherence is often disappointing. Therefore, methods for remote delivery of guided exercise programs are required, both to maximise the reach of physical activity promotion initiatives and programs across the older community and to minimise attrition once people begin to be physically active. One method by which we can increase understanding of the importance of, and compliance with, exercise programs involves the use of fun and engaging videogames. In the following we outline two ways in which we are using games technology in an Australian context.
WhatsApp in Clinical Practice: A Literature Review
Authors: Mars Maurice  , Scott Richard E.
Published: February 2025

Several spontaneous telemedicine services using WhatsApp Messenger have started in South Africa raising issues of confidentiality, data security and storage, record keeping and reporting. This study reviewed the literature on WhatsApp in clinical practice, to determine how it is used, and users' satisfaction.
Meta-Level Modelling of e-Education Ecosystem in Multicultural Context
Authors: Heimbürger Anneli
Published: February 2025

A sociotechnical system is a complex inter-relationship of people and technology, including hardware, software, data, physical and virtual surroundings, people, procedures, laws and regulations. An e-Education environment is a particularly complex example of a sociotechnical system that requires equal support for user needs and technological innovations. The challenge for e-Education environment development is that in addition to the producers, users, domain experts and software developers, pedagogical experts are also key stakeholders. In our paper, we discuss different meta-aspects and components of modelling e-Education ecosystems in multicultural contexts.
Emotions Recognition System for Acoustic Music Data Based on Human Perception Features
Authors: Endrjukaite Tatiana  , Kiyoki Yasushi
Published: February 2025

Music plays an important role in the human's life. It is not only a set of sounds – music evokes emotions subjectively perceived by listeners. The growing amount of audio data wakes up a need for content-based searching. Traditionally, tunes information has been retrieved based on a reference information, for example, the title of a tune, the name of an artist, the genre and so on. When users would like to try to find music pieces in a specific mood such standard reference information of the tunes is not sufficiently effective. We need new methods and approaches to realize emotion-based search and tune content analysis. This paper proposes a new music-tune analysis approach to realize automatic emotion recognition by means of essential musical features. The innovativeness of this research is that it uses new musical features for tune's analysis, which are based on human's perception of the music. Most important distinction of the proposed approach is that it includes broader range of tunes genres, which is very significant for music emotion recognition system. Emotion description on continuous plane instead of categories results in more supported adjectives for emotion description which is also a great advantage.
Evaluation Indexes of Customer Journey for Contents of Owned Media
Authors: Matsumoto Kyohei  , Nakanishi Takafumi  , Kitagawa Takashi
Published: February 2025

In this paper, we propose evaluation of customer journey for contents of Owned Media. In recent years, many companies publish the Owned Media in order to brand its products and services. The Owned Media is useful for provision of novel information correctly and rapidly. On these backgrounds, there is the demand of evaluation for effectiveness of the Owned Media. It is necessary to recognize which detailed content of Owned Media has importance. Our proposed method is able to produce attractive contents through appreciating which contents make approaches to customers. We demonstrate the evaluation using a certain Web-site as Owned Media and show the effectiveness of our methods.
Infrared Image Recognition of Bushing Type Cable Terminal Based on Radon and Fourier-Mellin Transform and BP Neural Network
Authors: Niu Hai-Qing  , Zheng Wen-Jian  , Zhang Huang  , Xu Jia  , Wu Ju-Zhuo
Published: February 2025

To recognize the abnormal heating of cable terminal, Radon and Fourier-Mellin transform is used to extract the feature in the paper. First, processing the original image by Radon transform and Fourier-Mellin transform successively and then extracting the four feature quantities of the transformed image based on invariant function. Finally, feature vectors will be input to the BP neural network for image recognition. It can be concluded from the result that the method proposed in the paper can reflect features of the infrared image more effectively. Infrared image with Pepper and salt noise and white Gaussian noise is recognized based on the method which proves its strong robusticity on noise disturbance.
A Geometric Graph Model of Citation Networks with Linearly Growing Node-Increment
Authors: Liu Qi  , Xie Zheng  , Dong En-Ming  , Li Jian-Ping
Published: February 2025

Due to the fact that the numbers of annually published papers in some citation networks have witnessed a linear growth, a geometric model is thus raised to reproduce some statistical features of those networks, in which the academic influence scopes of the papers are denoted through specific geometric areas related to time and space. In the model, nodes (papers) are uniformly and randomly sprinkled onto a cluster of circles of the Minkowski space whose centers are on the time axis. Edges (citations) are linked according to an influence mechanism which indicates that an existing paper will be cited by a new paper located in its influence zone. Considering the citations among papers in different disciplines, an interdisciplinary citation mechanism is added to the model in which some papers with a small probability of being chosen will cite some existing papers randomly and uniformly. Different from most existing models that only study the scale-free tail of the in-degree distribution, this model characterizes the overall in-degree distribution. Moreover, the model can also predict the scale-free tail of the out-degree distribution, which indicates that the model is a good tool in researches on the evolutionary mechanism of citation networks.
Reasoning About Partial Contracts
Authors: Azzopardi Shaun  , Gatt Albert  , Pace Gordon
Published: February 2025

Natural language techniques have been employed in attempts to automatically translate legal texts, and specifically contracts, into formal models that allow automatic reasoning. However, such techniques suffer from incomplete coverage, typically resulting in parts of the text being left uninterpreted, and which, in turn, may result in the formal models failing to identify potential problems due to these unknown parts. In this paper we present a formal approach to deal with partiality, by syntactically and semantically permitting unknown subcontracts in an action-based deontic logic, with accompanying formal analysis techniques to enable reasoning under incomplete knowledge.
Document Ranking with Citation Information and Oversampling Sentence Classification in the LUIMA Framework
Authors: Bansal Apoorva  , Bu Zheyuan  , Mishra Biswajeet  , Wang Silun  , Ashley Kevin  , Grabmair Matthias
Published: February 2025

We report on prototype experiments expanding on prior work [2] in retrieving and ranking vaccine injury decisions using semantic information and classifying sentences as legal rules or findings about vaccine-injury causation. Our positive results include that query element coverage features and aggregate citation information using a BM25-like score can improve ranking results, and that larger amounts of annotated sentence data improve classification performance. Negative observations include that LUIMA-specific sentence features do not impact sentence classification, and that synthetic oversampling improves classification only for the sparser of the two predicted sentence types.
Introduction: Forecasting Informatics Competencies for Nurses in the Future of Connected Health
Authors: Murphy Judy  , Goossen William
Published: February 2025

This introduction to the book discusses how the topic of competencies for nurses in a world of connected health needs to be addressed at the curriculum level to achieve the specific competencies for various roles, including practicing nurse, nurse teacher, nurse leader, and nursing informatics specialists. It looks back at milestone publications from the international Nursing Informatics post conferences that still serve a purpose for inspiring developments today and looks forward to the way nurses can use connected health to improve the health and health care for their patients. Specific emerging topics in health information technology are addressed as well, such as semantics, genetics, big data, eHealth and social media.
Evolving Role of the Nursing Informatics Specialist
Authors: Nagle Lynn M.  , Sermeus Walter  , Junger Alain
Published: February 2025

The scope of nursing informatics practice has been evolving over the course of the last 5 decades, expanding to address the needs of health care organizations and in response to the evolution of technology. In parallel, the educational preparation of nursing informatics specialists has become more formalized and shaped by the requisite competencies of the role. In this chapter, the authors describe the evolution of nursing informatics roles, scope and focus of practice, and anticipated role responsibilities and opportunities for the future. Further, implications and considerations for the future are presented.
What Practicing Nurses Need to Know About Health Information Technology in Order to Practice Today: Continuing Education and Certification
Authors: Newbold Susan K.
Published: February 2025

This chapter focuses on informatics and information management continuing education for all practicing nurses, as well as certification for informatics nurse specialists.