bluuebunny/crossref_metadata_2025 huggingface dataset:
The Benefits of a Formative Evaluation for Developing a Highly Innovative Software: The Case of the handoverEHR
Authors: Przysucha Mareike  , Flemming Daniel  , Hübner Ursula
Published: February 2025

Innovations are typically characterised by their relative newness for the user. In order for new eHealth applications to be accepted as innovations more criteria were proposed including “use” and “usability”. The handoverEHR is a new approach that allows the user to translate the essentials of a clinical case into a graphical representation, the so-called cognitive map of the patient. This study aimed at testing the software usability. A convenience sample of 23 experienced nurses from different healthcare organisations across the country rated the usability of the handoverEHR after performing typical handover tasks. All usability scales of the IsoMetricsLquestionnaire showed positive values (4 “I agree”) with the exception of “error tolerance” (3 “neutral statement”). A significant improvement was found in self-descriptiveness as compared to an initial usability testing prior to this study. Different subgroups of users tended to rate the usability of the system differently. This study demonstrated the benefits of formative evaluations in terms of improving the usability of an entirely new approach. It thus helps to transform a novel piece of software towards becoming a real innovation. Our findings also hint at the importance of user characteristics that could affect the usability ratings.
Developing and Implementing Diagnostic Prediction Models for Vestibular Diseases in Primary Care
Authors: Grill Eva  , Groezinger Michael  , Feil Katharina  , Strupp Michael
Published: February 2025

Diagnosing patients with vertigo and dizziness is a challenge in primary care settings where laboratory examinations are often not available. This study uses data from patients with confirmed diagnoses of vestibular syndromes to develop and validate simple diagnostic prediction models for the primary care physician. We describe the implementation of these models into an application that may assist the practitioners with their clinical decisions.
Experiments with Cross-Language Information Retrieval on a Health Portal for Psychology and Psychotherapy
Authors: Andrenucci Andrea
Published: February 2025

Few studies have been performed within cross-language information retrieval (CLIR) in the field of psychology and psychotherapy. The aim of this paper is to to analyze and assess the quality of available query translation methods for CLIR on a health portal for psychology. A test base of 100 user queries, 50 Multi Word Units (WUs) and 50 Single WUs, was used. Swedish was the source language and English the target language. Query translation methods based on machine translation (MT) and dictionary look-up were utilized in order to submit query translations to two search engines: Google Site Search and Quick Ask. Standard IR evaluation measures and a qualitative analysis were utilized to assess the results. The lexicon extracted with word alignment of the portal's parallel corpus provided better statistical results among dictionary look-ups. Google Translate provided more linguistically correct translations overall and also delivered better retrieval results in MT.
The Effect of Exposure to Ultraviolet Radiation in Infancy on Melanoma Risk
Authors: Gefeller Olaf  , Fiessler Cornelia  , Radespiel-Tröger Martin  , Uter Wolfgang  , Pfahlberg Annette B.
Published: February 2025

Evidence on the effect of ultraviolet radiation (UVR) exposure in infancy on melanoma risk in later life is scarce. Three recent studies suffering from methodological shortcomings suggested that people born in spring carry a higher melanoma risk. Data from the Bavarian population-based cancer registry on 28374 incident melanoma cases between 2002 and 2012 were analyzed to reexamine this finding. Crude and adjusted analyses – using negative binomial regression models – were performed addressing the relationship. In the crude analysis, the birth months March – May were significantly overrepresented among melanoma cases. However, after additionally adjusting for the birth month distribution of the Bavarian population, the ostensible seasonal effect disappeared. Similar results emerged in all subgroup analyses. Our large registry-based study provides no evidence that people born in spring carry a higher risk for developing melanoma in later life and thus lends no support to the hypothesis of higher UVR-susceptibility during the first months of life.
What Could We Learn from the Influence of Age on Perceptions of a CIS by the Clinical Staff of a French Hospital?
Authors: Ologeanu-Taddei Roxana  , Vitari Claudio  , Morquin David
Published: February 2025

Previous research highlighted generation and age effects on the perceptions and uses of technology. The goal of this study was to examine the relationship between age and perceptions of a Clinical Information System (CIS) for the clinical staff (especially physicians, nurses, medical secretaries). A survey was conducted in September 2015 in a French Teaching Hospital, based on a questionnaire consisting of items on the Likert scale. As results, the impact of age has a strong impact on Perceived Ease of Use, anxiety and Self-Efficacy. The result related to Perceived Ease of Use is unexpected. Younger staff reported to be less comfortable with technology than older staff. This result is not consistent with literature. We propose an explanation consisting in the importance of clinical process and organization knowledge and skills while general technology skills of young generations may be less significant.
A Hybrid Approach to Commonsense Knowledge Acquisition
Authors: Rodosthenous Christos  , Michael Loizos
Published: February 2025

This work presents a knowledge acquisition platform and a certain game developed on that platform for endowing machines with common sense, by following a hybrid approach that combines crowdsourcing techniques, knowledge engineering, and automated reasoning. Short narratives are presented to players, who are asked to combine fragments of text into rules that would correctly answer a given question, to evaluate the appropriateness of gathered rules, and to resolve conflicts between them by assigning priorities. The text fragments that are used are a priori translated by a knowledge engineer into a machine-readable predicate form. Players are rewarded based not only on their inter-agreement (as in most games with a purpose) but also based on the objective ability of the rules to answer questions correctly, as determined by an underlying reasoning engine. Beyond discussing the knowledge acquisition platform and the game design, we analyze the common sense that has been gathered during the deployment of the game over a five-month period and we use the acquired knowledge to answer questions on unknown stories.
Curiosity-Aware Bargaining
Authors: Buron Cédric L.R.  , Ductor Sylvain  , Guessoum Zahia
Published: February 2025

Opponent modeling consists in modeling the strategy or preferences of an agent thanks to the data it provides. In the context of automated negotiation and with machine learning, it can result in an advantage so overwhelming that it may restrain some casual agents to be part of the bargaining process. We qualify as “curious” an agent driven by the desire of negotiating in order to collect information and improve its opponent model. However, neither curiosity-based rationality nor curiosity-robust protocol have been studied in automatic negotiation. In this paper, we rely on mechanism design to propose three extensions of the standard bargaining protocol that limit information leak. Those extensions are supported by an enhanced rationality model, that considers the exchanged information. Also, they are theoretically analyzed and experimentally evaluated.
Cross-Professional Cooperation in a University Setting
Authors: Björk Evastina  , Ottosson Stig
Published: February 2025

In 2015, a research study on student product development projects was conducted at the Norwegian University of Science (NTNU) in Gjøvik. The student projects lasted eight weeks and were done by twenty-four third year occupational therapy students and twenty-four third year industrial design students forming eight cross-professional project groups. The theme was welfare technology from a Universal Design perspective. Problems to work on for each group were given by the occupational therapy students, based on problems they had experienced or identified while doing their practice training periods in municipal healthcare facilities and in the homes of patients. A general objective of this study was to build a knowledge base for increased cross-professional cooperation among students in higher education. One aim was to better prepare the students for their future professional roles. Another aim was for the students to acquire knowledge, understanding, and experience on how to work in a project with issues related to the knowledge and skills they had previously acquired in their education. Another aim was to reinforce their capabilities and competences regarding use of Universal Design in the area of welfare technology. The main result of the study is extended knowledge on how to form and carry out cross-functional project work in a university environment.
A Lead User Approach to Universal Design – Involving Older Adults in the Design Process
Authors: Raviselvam Sujithra  , Wood Kristin L.  , Hölttä-Otto Katja  , Tam Victoria  , Nagarajan Kamya
Published: February 2025

The concept of Universal Design has received increasing appreciation over the past two decades. Yet, there are very few existing designs that cater to the needs of extraordinary users who experience some form of physical challenge. Previous work has shown promising results on involving users with physical challenges as lead users – users who have the potential to identify needs that could be latent among the general population. It has also been shown that older adults can act as such lead users. They can help design universal product ideas that satisfy both older adults and the general population. In this paper we build on this and examine if involving older adults in the design phase can result in universal products, products preferred by both older adults and the general population over a current option. Eighty-nine older adult participants and thirty-four general population participants took part in the study. Products were redesigned and prototyped based on the needs of older adults and tested among both populations. Results show that, although older adults and the general population did share certain needs and demands, the majority of older adults had needs and demands that were different from those of the general population. However, even though the needs differed between the populations, on average 89% of the general population participants preferred products designed based on design needs expressed by older adults over the current option. This provides further evidence supporting the use of older adults in designing products for all.
Vandhalla – A Sport Centre and a Successful Example of First-Generation Universal Design
Authors: Grangaard Sidse  , Ryhl Camilla
Published: February 2025

The research project ‘Evaluation of Vandhalla’ is a study of the perceived quality of the new building as well as the design competition and design process leading to the final design. The evaluation focuses on the mindset of the winning entry, the design process, the design solution and the value of Vandhalla. Vandhalla is a sport centre including an indoor swimming pool at the Danish folk high school, Egmont. Empirically, the evaluation is based on qualitative interviews and walkthroughs on site with the architects, the client, personnel and students. The evaluation shows that Vandhalla is a successful example of an inclusive building in Denmark. The paper points at two factors having an impact on the result: the client as a key driver and the understanding of the users. The general use of knowledge as well as the winning design team's use of knowledge in the work with the design is problematized. It is suggested that Vandhalla should be regarded as a contribution to the first generation of Universal Design (UD) in Denmark. The Evaluation was conducted by the authors at SBi Aalborg University and financed by Realdania.
Towards Universal Design Hotels in Denmark
Authors: Grangaard Sidse
Published: February 2025

Based on the research project ‘Accessible Hotel Rooms’ that studies the balance between the experience of supply and demand regarding accessibility features in Danish hotel rooms, this paper demonstrates factors having an influence on Universal Design hotels in Denmark. The research project was financed by the Danish Transport and Construction Agency. Different notions in the hotel sector of the current supply and demand for Universal Design hotel rooms are identified, as well as future demand. Despite supplying accessible rooms, some hotels do not advertise their accessibility features on their website. There exists an attitude in the hotel sector that functions as a barrier for Universal Design: if there are enough guests, for example business travellers, then why market the hotel on Universal Design? The paper points out the coherence between the understanding of the users and the view of demand. Another important factor is Corporate Social Responsibility, which can be regarded as a strategy or platform towards Universal Design hotels.
Universal Design and Social Sustainability in the City: The Case Study of Tehran Iran
Authors: Eslami Lida  , Mahmoudi Mohammad Mehdi
Published: February 2025

Following the proposal of Universal Design in 1974, a public society was founded in Iran in 1981, in order to aid the disabled victims of the Iran-Iraq war. Official authorities have also made legislation on this topic. During the last three decades many efforts have been made to apply this concept in public spaces. Unfortunately these have not succeeded. It means despite the existence of inherent rules and regulations and the general will to apply the principles of Universal Design in Tehran, urban spaces are still an improper environment for the independent presence and movement of people with disabilities. This problem is considered a serious threat for social sustainability in Tehran.
Accessibility Videos
Authors: Kurppa Ari  , Nordlund Marika
Published: February 2025

It can be difficult to understand accessibility, if you do not have the personal experience. The Accessibility Centre ESKE produced short videos which demonstrate the meaning of accessibility in different situations. Videos will raise accessibility awareness of architects, other planners and professionals in the construction field and maintenance.
Evaluation of Accessibility Testing Methods. Which Methods Uncover What Type of Problems?
Authors: Bai Aleksander  , Mork Heidi Camilla  , Schulz Trenton  , Fuglerud Kristin Skeide
Published: February 2025

We examined fourteen accessibility evaluation methods and put them into four categories based on the knowledge and resources required to perform them. We also classified the methods based on whether they evaluated technical or usable accessibility. Then, we selected four of these methods from different categories to evaluate accessibility of an e-ID solution. We looked for confusing and critical issues. Each method found unique issues and overlapping issues, but no single method found more than half of the issues. This information should help inform future accessibility evaluations of other solutions and can aid other teams in selecting methods based on their specific goals and resources.
Embodied and Distributed Parallel DJing
Authors: Cappelen Birgitta  , Andersson Anders-Petter
Published: February 2025

Everyone has a right to take part in cultural events and activities, such as music performances and music making. Enforcing that right, within Universal Design, is often limited to a focus on physical access to public areas, hearing aids etc., or groups of persons with special needs performing in traditional ways. The latter might be people with disabilities, being musicians playing traditional instruments, or actors playing theatre. In this paper we focus on the innovative potential of including people with special needs, when creating new cultural activities. In our project RHYME our goal was to create health promoting activities for children with severe disabilities, by developing new musical and multimedia technologies. Because of the users' extreme demands and rich contribution, we ended up creating both a new genre of musical instruments and a new art form. We call this new art form Embodied and Distributed Parallel DJing, and the new genre of instruments for Empowering Multi-Sensorial Things.
Understanding the Lived Experience of Five Individuals with Mobility Aids
Authors: Walsh Tanja  , Petrie Helen
Published: February 2025

The aim of our research is to understand the lived experience of people with mobility aids: How do people use their mobility aids and what is their lived experience with them? What problems do mobility aid users have outside the clinic? Our goal is to further study the needs of mobility aid users, mainly wheelchair, walker and prosthesis users, and furthermore, develop a technology platform and an application that supports more independent life for mobility aid users. In our study we interviewed five individuals about their experiences of using mobility aids. The aim was to recognize the main stages of the lived experience with mobility aids in order to understand how technology could help mobility aid users outside the clinic. The stages found in the lived experience with mobility aids are 1) Expectations 2) Getting the mobility aid 3) Using and living with the aid and 4) Change/Abandonment of the aid. In each of these stages we found important issues concerning the lived experience with mobility aids such as the importance of training to use mobility aids, the meaning of peer support, finding information online, what makes a mobility aid good, what kind of issues other people's perceptions may cause and how the built environment poses challenges for people with mobility aids.
Using Argument Features to Improve the Argumentation Process
Authors: Budán Maximiliano C.D.  , Simari Gerardo I.  , Simari Guillermo R.
Published: February 2025

Argumentation has become an important topic in artificial intelligence; the basic idea is to identify arguments in favor and against a statement, select the acceptable ones, and determine whether the original statement can be accepted or not. However, the arguments involved in an argumentative discussion may have different relevance degrees; for this reason, argumentation frameworks need to represent the qualities that describe the soundness of an argument in order to refine the acceptability process performed over the argumentation model.
Where Are We Now? State of the Art and Future Trends of Solvers for Hard Argumentation Problems
Authors: Cerutti Federico  , Vallati Mauro  , Giacomin Massimiliano
Published: February 2025

We evaluate the state of the art of solvers for hard argumentation problems—the enumeration of preferred and stable extensions—to envisage future trends based on evidence collected as part of an extensive empirical evaluation. In the last international competition on computational models of argumentation a general impression was that reduction-based systems (either SAT-based or ASP-based) are the most efficient.
A Canonical Semantics for Structured Argumentation with Priorities
Authors: Dung Phan Minh
Published: February 2025

Due to a proliferation and diversity of approaches to reasoning with prioritized rules, ordinary properties have been introduced recently for characterization and evaluation of the proposed semantics. While ordinary properties are helpful, a fundamental question of whether they are sufficient to identify a common semantics underlining reasoning with priorities remains open. In this paper we address this question by introducing a new simple and intuitive property of inconsistency-resolving and slightly adapting other ordinary properties to show that they together indeed determine an unique canonical attack relation that could be viewed as defining an uniquely defined common semantics for reasoning with prioritized rules.
A Specialized Set Theoretic Semantics for Acceptability Dynamics of Arguments
Authors: Moguillansky Martín O.  , Simari Guillermo R.
Published: February 2025

Inspired by the standard set theoretic Tarskian semantics, we propose a novel interpretation structure for studying the acceptability dynamics of arguments (i.e., the eventual changes on their acceptability condition) for logic-based argumentation. Interpretation structures identify possible scenarios in which a given argument would be accepted, or not, according to some standard extension-based argumentation semantics. These scenarios are configured in accordance to the consideration or inconsideration of other arguments from the given argumentation framework. Thereafter, it would be possible to ensure the acceptability of an argument by handling the evolution of the argumentation framework throughout the use of argumentative change operations. Hence, an interpretation structure which is a model of a given argument specifies a possible epistemic state to which the argumentation framework could evolve towards the argument's positive acceptability. Moreover, the analysis of several models of a given argument brings the opportunity of satisfying additional restrictions towards the evolution of a framework. Finally, we propose a revision operator whose rationality is ensured through postulates and a corresponding representation theorem.
ConArg: A Tool for Classical and Weighted Argumentation
Authors: Bistarelli Stefano  , Rossi Fabio  , Santini Francesco
Published: February 2025

ConArg is a tool for solving different problems related to extension-based semantics: e.g., enumeration of extensions, sceptical and credulous acceptance of arguments. We have extended it in order to deal with Weighted Abstract Argumentation Frameworks, where each attack is associated with a strength score. Classical notions of defence and conflict-freeness have been redefined with the purpose to have different (weighted) degrees of their relaxation. The ultimate aim is to let an agent choose between a higher internal consistency or a stronger defence.
GrappaVis – A System for Advanced Graph-Based Argumentation
Authors: Heissenberger Georg  , Woltran Stefan
Published: February 2025

We present a new system for specifying and evaluating frameworks in the recently proposed argumentation formalism of GRAPPA.
Modeling the Evolution of Breast Skin Temperatures for Cancer Detection
Authors: Abdel-Nasser Mohamed  , Saleh Adel  , Moreno Antonio  , Puig Domenec
Published: February 2025

Breast cancer is one of the most dangerous diseases for women. Although mammographies are the most common method for its early detection, thermographies have been used to detect the temperature of young women using infrared cameras to analyze breast cancer. The temperature of the region that contains a tumor is warmer than the normal tissue, and this difference of temperature can be easily detected by infrared cameras. This paper proposes a new method to model the evolution of the temperatures of women breasts using texture features and a learning to rank method. It produces a descriptive and compact representation of a sequence of infrared images acquired during different time intervals of a thermography protocol, which is then used to discriminate between healthy and cancerous cases. The proposed method achieves good classification results and outperforms the state of the art ones.
Correcting Multivariate Auto-Regressive Models for the Influence of Unobserved Common Input
Authors: Gómez Vicenç  , Gheshlaghi Azar Mohammad  , Kappen Hilbert J.
Published: February 2025

We consider the problem of inferring connectivity from time-series data under the presence of time-dependent common input originating from non-measured variables. We analyze a simple method to filter out the influence of such confounding variables in multivariate auto-regressive models (MVAR). The method learns the parameters of an extended MVAR model with latent variables. Using synthetic MVAR models we characterize where connectivity reconstruction is possible and useful and show that regularization is convenient when the common input has strong influence. We also illustrate how the method can be used to correct partial directed coherence, a causality measure used often in the neuroscience community.
Support Analysis of Weighted Discussions in Twitter
Authors: Alsinet Teresa  , Argelich Josep  , Béjar Ramón  , Fernández Cèsar  , Mateu Carles  , Planes Jordi
Published: February 2025

The analysis of opinions on social networks has recently received a considerable attention on many application fields. Although there exist many specialized and generalist social networks, nowadays Twitter is one of the most widely used when it comes to share and criticize relevant news, and the citizens response to news and events in Twitter is frequently taken as an indicator of the social interest for them. In order to understand what are the major accepted and rejected opinions in different domains by Twitter users, in a recent work we have developed an analysis system based on Valued Abstract Argumentation to model and reason about Twitter discussions under different schemes for weighting the tweet relevance. The argumentative model computes the set of socially accepted tweets in a discussion by taking the weight assigned to each tweet and the (possible) criticism between the discussion tweets. In this paper we propose to go one step further by considering the support between tweets and not only criticism between them. Our approach is not based on explicitly computing indirect attacks between tweets, but on the revaluation of the tweet relevance through the spread of the support tweet weights. In order to validate this new extension, we analyze different real Twitter discussions from the political domain and we compare the results with those obtained in a previous work, what allows us to evaluate how support relations can modify the accepted tweets.
Empirical Evidence for Day-to-Day Persistence of Higher and Lower American and European Stock Indices
Authors: Rivera-Peruyero Juan Ricardo  , Marti-Puig Pere
Published: February 2025

The Hurst exponent is the only real number required to describe a type of stochastic process known as fractal Brownian motion that is employed to model time series of financial origin. The Hurst exponent can also be taken as a measure of the long term memory of time series. In this work we analyze four daily time series of prices (Open, Close, High and Low) of some American and European stock indices. There are very few studies of the characteristics of daily High and Low time series. However, an empirical, in-depth, comparative study of all four series reveals some consistent patterns at the day-to-day time scale. In all the cases considered, the Hurst exponents of High and Low time series are appreciably higher than those obtained for Open and Close. Our analysis indicates that High and Low index values are more persistent (positively auto-correlated) and, therefore, more predictable than Open and Close values, whose time series fluctuate between persistence and anti-persistence (negative auto-correlation) and in the long term have a Hurst exponent close to 0.5, characteristic of a random walk process.
Assessing Falling Risk in Elderly with the Ten Meter Walking Test: A Machine Learning Approach
Authors: Cortés Atia  , Béjar Javier  , Barrué Cristian  , Martínez Antonio B.  , Cortés Ulises
Published: February 2025

The Ten Meter Walking Test (10MWT) has been widely used in rehabilitation literature as an indicator of physical decline and other health-related outcomes. With an increasing senior population, it is important to analyze and estimate physical limitations in older people to prevent falls and their consequences, not only for the individual's benefit but also for their social environment and the sustainability of public health-care systems. The 10MWT as measured today gives only values of speed. This paper introduces the sensing capabilities of the i-Walker and its use in measuring the 10MWT. The volunteers in this study are a subset the participants in the pilots installed during the I-DONT FALL EU funded project. This paper also proposes a Machine Learning method for analyzing individuals' walking ability and risk of falling by using an instrumented smart walker: the i-Walker.
Revealing Patterns of Twitter Emoji Usage in Barcelona and Madrid
Authors: Barbieri Francesco  , Espinosa-Anke Luis  , Saggion Horacio
Published: February 2025

Emojis are small sized images which are naturally combined with free text to visually complement or condense the meaning of a message. The set of available emojis is fixed, irrespective of a user's location. However, their interpretation and the way they are used may vary. In this paper, we compare the meaning and usage of emojis across two Spanish cities: Barcelona and Madrid. Our results suggest that the overall semantics of the subset of emojis we studied is preserved over these cities. However, some of them are interpreted differently, which suggests there may exist cultural differences between inhabitants of Barcelona and Madrid, and that these are reflected in how they communicate in social networks.
An OWA-Based Multi-Criteria System for Assigning Papers to Reviewers
Authors: Nguyen Jennifer  , Sánchez-Hernández Germán  , Agell Núria  , Rovira Xari  , Angulo Cecilio
Published: February 2025

Assigning papers to reviewers is a large, long and difficult task for conference chairs and scientific committees. The reviewer assignment problem is a multi-agent problem which requires understanding reviewer expertise and paper topics for the matching process. This paper proposes to elaborate on variables used to compute reviewer expertise and aggregate multiple factors to find the fittest combination of reviewers to each paper. Expertise information is gathered implicitly from publicly available information and a reviewer profile is generated automatically. An OWA (Ordered Weighted Average) aggregation function is used to summarize information coming from different sources and rank the candidate reviewers for each paper. General constraints for the RAP (Reviewer Assignment Problem) have been incorporated into a real case example: (i) conflicts of interest between the reviewer and authors should be avoided, (ii) each paper must have a minimum number of reviewers, and (iii) each reviewer load cannot exceed a certain number of papers.
Finding and Expanding Hypernymic Relations in the Music Domain
Authors: Espinosa-Anke Luis  , Oramas Sergio  , Camacho-Collados José  , Saggion Horacio
Published: February 2025

Lexical taxonomies are tree or directed acyclic graph-like structures where each node represents a concept and each edge encodes a binary hypernymic (is-a) relation. These lexical resources are useful for AI tasks like Information Retrieval or Machine Translation. Two main trends exist in the construction and exploitation of these resources: On one hand, general purpose taxonomies like Word-Net, and on the other, domain-specific databases such as the CheBi chemical ontology, or MusicBrainz in the music domain. In both cases these are based on finding correct hypernymic relations between pairs of concepts. In this paper, we propose a generic framework for hypernym discovery, based on exploiting linear relations between (term, hypernym) pairs in Wikidata, and apply it to the domain of music. Our promising results, based on several metrics used in Information Retrieval, show that in several cases we are able to discover the correct hypernym for a given novel term.
Deep Neural Learning Approaches for Latvian Morphological Tagging
Authors: Paikens Pēteris
Published: February 2025

This paper describes ongoing research on improvements of morphological analysis, disambiguation and POS tagging for the Latvian language. Authors apply recent advances in sequential tagging with neural networks and word embeddings calculated from unlabeled corpus to improve morphological tagging accuracy. These approaches allow to reduce the fine-grained morphological tag word error rate from 7.9% of earlier best systems to 6.2%, and coarse-grained POS tag error rate from 3.6% to 2.2%.
European Platform for the Multilingual Digital Single Market: Conceptual Proposal
Authors: Vasiļjevs Andrejs  , Hajic Jan  , Hummel Jochen  , van Genabith Josef  , Kalniņš Rihards
Published: February 2025

This paper proposes a large scale initiative for the creation of the European Platform of online multilingual services to cover the multilingual needs of the Digital Single Market. We describe the three layers of the Platform: a solutions layer, an infrastructure layer, and a research layer. The infrastructure layer will combine mature language technologies in four clouds: Automated Translation Cloud, Human-Computer Interaction Cloud, Multilingual Knowledge Management Cloud, and European Language Cloud, encompassing basic services and language resources. We identify the key gaps and recommend targeted research activities to provide equal technology coverage for all EU languages.
The Principle of Double Effect Applied to Ethical Dilemmas of Social Robots
Authors: Bentzen Martin Mose
Published: February 2025

The introduction of social robots into society will require that they follow ethical principles which go beyond consequentialism. In this paper, I show how to apply the principle of double effect to solve an ethical dilemma involving robots studied by Alan Winfield and colleagues. The principle of double effect states conditions for ethically acceptable behavior when there are both positive and negative consequences of an action. I propose a formal semantics with actions, causes, intentions, and utilities based upon the work of Judea Pearl, John Horty, and others. With this formal semantics, the question of whether an action is permitted according to the principle of double effect is reduced to deciding whether a certain formula is true or otherwise.
ajoo: WEB Based Framework for Domain Specific Modeling Tools
Authors: Sprogis Arturs
Published: February 2025

ajoo is a framework for implementing DSML tools as web applications. The framework consists of DSML tool building platform and the DSML configuration tool. The platform allows implementing various kinds of DSMLs by reusing its components without programming them each time from scratch. The framework contains a configuration tool that provides means to specify DSML tools using graphical user interface to simplify and accelerate the DSML implementation process. Thus the framework's allows implementing a wide area of DSML tools without programming.
Application of the Enterprise Model Frame for Security Requirements and Control Identification
Authors: Kirikova Marite  , Matulevicius Raimundas  , Sandkuhl Kurt
Published: February 2025

It is generally accepted that security requirements have to be identified as early as possible to avoid later rework in the systems development process. However, in practice quite often security aspects are considered either at the later stages of development cycles (increments in agile projects) or addressed only when problems arise. One of the reasons for difficulties of early detection of security requirements is the complexity of security requirements identification. In this paper we discuss an extension of the method for security requirements elicitation from business processes (SREBP). The extension includes the application of the enterprise model frame to provide an enterprise architecture context for analyzed business process models. The enterprise model frame covers practically all concepts of the information security related definitions; the use of the frame with the SREBP method complies with the common enterprise modeling and enterprise architecture approaches; and it use helps to consider security requirements and control at the business, application, and technology levels simultaneously.
Accelerating Reinforcement Learning by Mirror Images
Authors: Kitao Takehiro  , Miura Takao
Published: February 2025

In this investigation, we propose how to accelerate Q-learning which is one of the most successful reinforcement learning methods using mirror images for hunting problems. Mirror images have symmetric differences of views, and they allow us to accelerate Q-learning dramatically. In this investigation, we show Q-learning goes 2 times faster (one mirror) or 3 times faster (2 mirrors) but a capturing ability decreased slightly even if intervention happens. Moreover, we prove that the new approach gets to the convergence if the one with no mirror does.
Introduction to Fuzzy Dual Mathematical Programming
Authors: Cosenza Carlos A.N.  , Krykhtine Fabio  , El Moudani Walid  , Mora-Camino Felix A.C.
Published: February 2025

In this communication the formulation of optimization problems using fuzzy dual parameters and variables is introduced to cope with parametric or implementation uncertainties. It is shown that fuzzy dual programming problems generate finite sets of deterministic optimization problems, allowing to assess the range of the solutions and of the resulting performance at an acceptable computational effort.
Probabilistic Frequent Itemset Mining Algorithm over Uncertain Databases with Sampling
Authors: Li Hai-Feng  , Zhang Ning  , Zhang Yue-Jin  , Wang Yue
Published: February 2025

Uncertain data is the data accompanied with probability, which makes the frequent itemset mining have more challenges. Given the data size n, computing the probabilistic support needs O(n(logn)2) time complexity and O(n) space complexity. This paper focuses on the problem of mining probabilistic frequent itemsets over uncertain databases and proposed PFIMSample algorithm. We employ the Chebyshev inequation to estimate the frequency of the items, which decreases certain computing from O(n(logn)2) to O(n). In addition, we propose the sampling technique to improve the performance. Our extensive experimental results show that our algorithm can achieve a significantly improved runtime cost and memory cost with high accuracy.
The Method Study on Tax Inspection Cases-Choice: Improved Support Vector Machine
Authors: She Jing-Huai  , Zhuo Jing
Published: February 2025

It is easy to be ignored the interrelation between the indexes of tax inspection cases-choice and the dynamic nature of related data by the traditional data mining technology. This paper attempts to establish the model of kernelled support matrix machine and proposes the data mining method of tax inspection cases-choice on the basis of new type of data. Moreover, the data mining method is valuable for improving tax inspection cases-choice accuracy
The Analysis of Cognitive Image and Tourism Experience in Taiwan's Old Streets Based on a Hybrid MCDM Approach
Authors: Kuo Chung-Ling  , Lin Chia-Li
Published: February 2025

There are forty to fifty old streets spreading around Taiwan. Each Taiwan's old street has its own story. Some are famous for their delicacy; others for their unique scenery and still others promote their local cultures through the combination of their local industries and festivals. A few Taiwan's old streets have found their position through time, while others have not and are fading like dried leaves. This study, therefore, aims to find both the position and the developing direction of Taiwan's old streets. Through a tourism-experiencing perspective, the evaluation system is formed according to six aspects (Landscape image, Historical site image, Cultural image, Shopping experience, Gourmet experience, Marketing experience) in order to classify the Taiwan's old streets and construct the developing strategies. The connection of old-street-forming criteria will be constructed by the use of Fuzzy Cognitive Map (FCM). They will be classified according to their quality, and their competitive strategies will also be established. Hopefully, this study will be of great value in assisting the governmental authorities finding the characteristics of the Taiwan's old streets and improving their development.
Early Prediction of System Faults
Authors: Li You  , Lin Yu-Ming
Published: February 2025

A system will produce massive status data during its runtime, which contains rich status information. In this work, we target at detecting system faults as early as possible based on the system status data sequences. Firstly, we formalized the system fault detection into classification problem, in which different types of status data were integrated to reflect the system status. Secondly, we devised a detection method to predict the class of a status sequence when its full length is not yet available. At last, a series of experiments were conducted to verify the proposed methods's effectiveness.
The Design and Implementation of Meteorological Microblog Public Opinion Hot Topic Extraction System
Authors: Ren Fang  , Chen Lin  , Yang Cheng-Rui
Published: February 2025

Sina meteorological microblog was taken as data resource, with a view to Sina Shaanxi meteorological microblog, the paper achieved designing of the system of extraction of public opinion on microblog's hot topic. We introduced in detail the system's whole process, described data extraction, Word segmentation system, hot extraction method, and described the problems occurred in realization and the factors to be improved. The next step will be increased analysis results of images, to get more accurate hot extraction results.
Multimode Theory Analysis of the Coupled Microstrip Resonator Structure
Authors: Zhao Ying  , Zhang Ai-Hua  , Wang Ming-Xiao
Published: February 2025

In this paper, multimode problem of the coupled microstrip resonator structure is analyzed using the ‘equivalent removing’ method. By this method, the difficult computation for the electromagnetic equation is avoided. The coupled microstrip resonator structure is seen as the substructures of a microwave equalizer which can make the TWTA's (Travelling Wave Tube Amplifier) gain character linear. In order to make the designing easier, the main structure of the equalizer can be seen as the cascade structure of such substructures. Multimode problem caused for the discontinuity structure makes the S-parameter of the main structure cannot be gotten from the cascade equation easily. So the analysis of the multimode problem of the substructure is the most important thing in the equalizer's cascade designing. Good results were obtained when the ‘equivalent removing’ method was used to analyze the problem, which made the cascade equation can be used to compute the main structure's S-parameters in the designing.
Virtual Machine Relocating with Combination of Energy and Performance Awareness
Authors: Li Xiang  , Chen Ning-Jiang  , Xu You-Chang  , Pesayanavin Rangsarit
Published: February 2025

Virtual machine relocation has attracted attention to enable various cloud computing services and to facilitate virtual machine (VM) migration. Most of existing virtual machine relocating strategies usually focuses on the optimization of single objective in cloud computing environment. But the objective often sacrifices other objectives to achieve the optimal effect. Therefore this paper presents a virtual machine relocating method with multi-factor tradeoff, in which resource utilization is converted into energy and there is a tradeoff between energy consumption and performance at the same time. The strategy effectively avoids the unnecessary migration by using autoregressive model to predict the performance of the future period when choosing the virtual machines to be relocated. The experiment results show that the presented strategy can improve the response time of virtual machine, the energy consumption, and the number of virtual machine migration under the condition of guaranteeing certain SLA (Service-Level-Agreement).
Statement Types in Legal Argument
Authors: Al-Abdulkarim Latifa  , Atkinson Katie  , Bench-Capon Trevor
Published: February 2025

In this paper we present an overview of the process of argumentation with legal cases, from evidence to verdict. We identify the various different types of statement involved in the various stages, and describe how the various types relate to one another. In particular we show how we can obtain the legally accepted facts which form the basis for consideration of the law governing the cases from facts about the world. We also explain how we can determine which particular facts are relevant. In so doing we bring together several important pieces of AI and Law research and clarify their relationships.
When and How to Violate Norms
Authors: Bench-Capon Trevor  , Modgil Sanjay
Published: February 2025

There is an increasing need for norms to be embedded in technology as the widespread deployment of applications such as autonomous driving and warfare becomes ever closer. Current approaches to norms in multi-agent systems tend either to simply make prohibited actions unavailable, or to provide a set of rules (principles) which the agent is obliged to follow. We argue that both these approaches are inadequate: in order to meet unexpected situations agents must be capable of violating norms, when it is appropriate to do so. This in turn requires that agents be able to reason about what they should do without reference to the norms. One way to achieve this is to conduct value based reasoning using an argumentation scheme designed for practical reasoning. Such reasoning requires that agents have an acceptable set of values and an acceptable ordering on them. We discuss what might count as an acceptable ordering on values, and how such an ordering might be determined. Law breaking is illustrated through a simple road traffic example.
Interpretation Across Legal Systems
Authors: Malerba Alessandra  , Rotolo Antonino  , Governatori Guido
Published: February 2025

In this paper we extend a formal framework presented in [6] to model reasoning across legal systems. In particular, we propose a logical system that encompasses the various interpretative interactions occurring between legal systems in the context of private international law. This is done by introducing meta-rules to reason with interpretive canons.
The Cost of Quality in Diabetes
Authors: Ghany Ahmad  , Keshavjee Karim
Published: February 2025

The adoption and use of Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) is continuing to rise in North America. These systems contain data of varying degrees of quality, including poor quality or “dirty” data. Data entered into EMRs need to be clean or of high quality for them to be useful for a variety of reasons, including quality improvement, clinical decision support, population management, research and system management. There are two potential solutions to obtaining clean data from EMRs: data discipline and data cleansing. Data discipline focuses on ensuring that entry of data into EMRs is of high quality, while data cleansing focuses on cleaning data in the database. Clean data are necessary for healthcare providers to effectively manage chronic diseases and should lead to a reduction in the costs associated with those diseases. The objective of this paper is to compare the costs involved in implementing the two different data cleaning approaches by performing a Budget Impact Analysis (BIA) using diabetes as the exemplar in Canada. The BIA revealed that the cost to implement data discipline is $65 million whereas the cost to implement the data cleansing approach would be $21 million. Even though the cost may seem high, the cost of dirty data is even higher. Data discipline, data cleansing, or a combination of both approaches should be considered going forward.