bluuebunny/crossref_metadata_2025 huggingface dataset:
Personalized Fully Multimodal Journey Planner
Authors: Jakob Michal  , Hrncir Jan  , Oliva Luis  , Ronzano Francesco  , Zilecky Pavol  , Finnegan Jason
Published: February 2025

We present an advanced journey planner designed to help travellers to take full advantage of the increasingly rich, and consequently more complex offering of mobility services available in modern cities. In contrast to existing systems, our journey planner is capable of planning with the full spectrum of mobility services; combining individual and collective, fixed-schedule as well as on-demand modes of transport, while taking into account individual user preferences and the availability of transport services. Furthermore, the planner is able to personalize journey planning for each individual user by employing a recommendation engine that builds a contextual model of the user from the observation of user's past travel choices. The planner has been deployed in four large European cities and positively evaluated by hundreds of users in field trials.
Advanced Public Transport Network Analyser
Authors: Nykl Jan  , Jakob Michal  , Hrncir Jan
Published: February 2025

We present a web-based tool for a fine-grained analysis of the quality of public transport coverage. Employing an efficient graph-based transport network representation and a fast, modified Dijkstra-based journey planning algorithm, the tool calculates four public transport accessibility indices: journey duration, service frequency, the number of transfers, and a combined, overall index. Together, the indices give an accurate picture of the user-perceived accessibility by public transport in the area and time of interest.
Lattice-based biclustering using Partition Pattern Structures
Authors: Codocedo Victor  , Napoli Amedeo
Published: February 2025

In this work we present a novel technique for exhaustive bicluster enumeration using formal concept analysis (FCA). Particularly, we use pattern structures (an extension of FCA dealing with complex data) to mine similar row/column biclusters, a specialization of biclustering when attribute values have coherent variations. We show how biclustering can benefit from the FCA framework through its robust theoretical description and efficient algorithms. Finally, we evaluate our bicluster mining approach w.r.t. a standard biclustering technique showing very good results in terms of bicluster quality and performance.
GOSU: computing GOal SUpport with commitments in multiagent systems
Authors: Kafalı Özgür  , Günay Akın  , Yolum Pınar
Published: February 2025

Goal-based agent architectures have been one of the most effective architectures for designing agents. In such architectures, the state of the agent as well as its goal set are represented explicitly. The agent then uses its set of actions to reach the goals in its goal set. However, in multiagent systems, most of the time, an agent cannot reach a goal only using its own actions but needs other agents to act as well. Commitments have been successfully used to regulate those interactions between agents. This paper proposes a framework and an environment for agents to manage the relations between their commitments and goals. More specifically, we provide an algorithm called GOSU to compute if a given set of commitments can be used to achieve a particular goal. We describe how GOSU can be implemented using the Reactive Event Calculus and demonstrate its capabilities over a case study.
Information-based Incentivisation when Rewards are Inadequate
Authors: Mahmoud Samhar  , Barakat Lina  , Miles Simon  , Taweel Adel  , Delaney Brendan  , Luck Michael
Published: February 2025

In many cases, intermediaries play a major role in linking between service providers and their target users. Yet, attracting intermediaries at a marketplace to promote a service to their existing customers can be very challenging, since they are usually very busy and would incur additional cost as a result of such promotion. In response, this paper presents an information-based incentivisation framework, which combines financial rewards with other motivating information, in order to incentivise intermediaries at a marketplace to undertake service promotion. Specifically, the intermediaries are associated with a group of incentivising agents, capable of learning the individual motivational needs of these intermediaries, and accordingly target them with the most effective incentives. The incentivising agents collaborate with each other to gather motivational information, by sharing their observations on intermediaries. The proposed incentivisation approach is evaluated through a corresponding agent-based simulation, and the experimental results obtained demonstrate its effectiveness.
Schedule Generation Schemes for Job Shop Problems with Fuzziness
Authors: Palacios Juan José  , Vela Camino R.  , González-Rodríguez Inés  , Puente Jorge
Published: February 2025

We consider the job shop scheduling problem with fuzzy durations and expected makespan minimisation. We formally define the space of semi-active and active fuzzy schedules and propose and analyse different schedule-generation schemes (SGSs) in this fuzzy framework. In particular, we study dominance properties of the set of schedules obtained with each SGS. Finally, a computational study illustrates the great difference between the spaces of active and the semi-active fuzzy schedules, an analogous behaviour to that of the deterministic job shop.
OpenSim: A framework for integrating agent-based models and simulation components
Authors: Singh Dhirendra  , Padgham Lin
Published: February 2025

The growing use of agent-based modelling and simulation for complex systems analysis has led to the availability of numerous published models. However, reuse of existing models in new simulations, for studying new problems, is largely not attempted. This is mainly because there is no systematic way of integrating agent-based models, that deals with the nuances of complex interactions and overlaps in concepts between components, in the shared environment. In this paper we present an open source framework, called OpenSim, that allows such integrated simulations to be built in a modular way, by linking together agent-based and other models. OpenSim is designed to be easy to use, and we give examples of the kinds of simulations we have built with this framework.
Graph abstraction for closed pattern mining in attributed networks
Authors: Soldano Henry  , Santini Guillaume
Published: February 2025

We address the problem of finding patterns in an attributed graph. Our approach consists in extending the standard methodology of frequent closed pattern mining to the case in which the set of objects, in which are found the pattern supports, is the set of vertices of a graph, typically representing a social network. The core idea is then to define graph abstractions as subsets of the vertices satisfying some connectivity property within the corresponding induced subgraphs. Preliminary experiments illustrate the reduction in closed patterns we obtain as well as what kind of abstract knowledge is found via abstract implications rules.
A Centrality Measure for Networks With Community Structure Based on a Generalization of the Owen Value
Authors: Szczepański Piotr L.  , Michalak Tomasz P.  , Wooldridge Michael
Published: February 2025

There is currently much interest in the problem of measuring the centrality of nodes in networks/graphs; such measures have a range of applications, from social network analysis, to chemistry and biology. In this paper we propose the first measure of node centrality that takes into account the community structure of the underlying network. Our measure builds upon the recent literature on game-theoretic centralities, where solution concepts from cooperative game theory are used to reason about importance of nodes in the network. To allow for flexible modelling of community structures, we propose a generalization of the Owen value—a well-known solution concept from cooperative game theory to study games with a priori-given unions of players. As a result we obtain the first measure of centrality that accounts for both the value of an individual node's relationships within the network and the quality of the community this node belongs to.
Learning non-cooperative behaviour for dialogue agents
Authors: Efstathiou Ioannis  , Lemon Oliver
Published: February 2025

Non-cooperative dialogue behaviour for artificial agents (e.g. deception and information hiding) has been identified as important in a variety of application areas, including education and health-care, but it has not yet been addressed using modern statistical approaches to dialogue agents. Deception has also been argued to be a requirement for high-order intentionality in AI. We develop and evaluate a statistical dialogue agent using Reinforcement Learning which learns to perform non-cooperative dialogue moves in order to complete its own objectives in a stochastic trading game with imperfect information. We show that, when given the ability to perform both cooperative and non-cooperative dialogue moves, such an agent can learn to bluff and to lie so as to win more games. For example, we show that a non-cooperative dialogue agent learns to win 10.5% more games than a strong rule-based adversary, when compared to an optimised agent which cannot perform non-cooperative moves. This work is the first to show how agents can learn to use dialogue in a non-cooperative way to meet their own goals.
A Two-Levels Local Search Algorithm for Random SAT Instances with Long Clauses
Authors: Abramé André  , Habet Djamal  , Toumi Donia
Published: February 2025

We present a local search algorithm exploiting two efficient solvers for SAT. The first one is based on the configuration checking strategy and the second one on an algorithm of the Walksat family. This new solver is dedicated to solve random k-SAT instances, such that k ≥ 4. We have carried tests on the instances of the SAT Challenge 2012. The obtained results confirm the relevance of our approach.
A Cost-Based Relaxed Planning Graph Heuristic for Enhanced Metric Sensitivity
Authors: Sroka Michal  , Long Derek
Published: February 2025

Most applications of planning depend on finding high quality solutions. The quality is evaluated in terms of user defined metric function. We discuss the current state-of-the-art for finding good quality solutions, and its limitations. We determine which planners are metric sensitive and are driven by cost. Following that we present a novel metric sensitivity heuristic using a modified version of the relaxed planning graph. The proposed heuristic helps in generating plans in response to the change of the metrics.
A post-Bertalanffy Systemics Healthcare Competitive Framework Proposal
Authors: Fiorini Rodolfo A.  , Santacroce Giulia F.
Published: February 2025

Health Information community can take advantage of a new evolutive categorization cybernetic framework. A systemic concept of principles organizing nature is proposed. It can be used as a multiscaling reference framework to develop successful and competitive antifragile system and new HRO information management strategies in advanced healthcare organization (HO) and high reliability organization (HRO) conveniently. Expected impacts are multifarious and quite articulated at different system scale level: major one is that, for the first time, Biomedical Engineering ideal system categorization levels can be matched exactly to practical system modeling interaction styles, with no paradigmatic operational ambiguity and information loss.
The Use of Geographical Information System in Health Sector
Authors: Mechili Aggelos  , Zimeras Stelios  , Al-Fantel Konstantina  , Diomidous Marianna
Published: February 2025

The provision of health care has undergone radical changes during the last years. Geography plays an important role in understanding the dynamics of health, as well as the reasons why a disease is spreading. In general, a Geographic Information System (GIS) is based on the same principals with a traditional relational database. The main idea behind this study is the methodological approach as far as the implementation of a real- time electronic healthcare record is concerned, for the descriptive statistical analysis that uses geographical information to identify spatial data related to accidents. The purpose of developing such a health care record is to record the patients who were injured in accidents. The database that will be used for the development of the EHR is based on Microsoft Office 2007, which is considered to be one of the best tools for developing databases. The main table of the database includes the fields with demographics, ie name, surname, age, sex, address and place of birth. The primary key of the table Demographics is Patient_ID. The demographics from the table are connected to the table Admission with a relationship type one- to- many. The combination of these features in a graphic representation can be used to display the health problems on the map, so that the proper health policies can be applied. The results of the monitoring could be used as pilot instructions for spatial epidemiological analysis.
Frailty, Physical Frailty, Sarcopenia: A New Conceptual Model
Authors: Bernabei Roberto  , Martone Anna Maria  , Vetrano Davide L.  , Calvani Riccardo  , Landi Francesco  , Marzetti Emanuele
Published: February 2025

In the literature, different criteria have been validated to identify frail older subjects, which mainly refer to two conceptual models: the cumulative deficit approach proposed by Rockwood and the Physical Frailty (PF) phenotype proposed by Fried. Both models have received empirical validation. Nevertheless, the frailty phenotype is the most widely used and presents a characterized pathophysiologic background. The PF condition depicted by the frailty phenotype has shown to be predictive of major negative health-related outcomes, including mobility disability, disability for activities of daily living, institutionalization, and mortality. At the same time, it cannot be ignored that the PF phenotype presents substantial overlaps with sarcopenia, “a syndrome characterized by progressive and generalized loss of skeletal muscle mass and strength with a risk of adverse outcomes such as physical disability, poor quality of life and death”. In fact, many of the adverse outcomes of frailty are probably mediated by sarcopenia. Therefore, sarcopenia may be considered both as the biological substrate for the development of PF and the pathway through which the negative health outcomes of frailty ensue. Although PF encompasses only a part of the frailty spectrum, the identification of a definite biological basis (i.e., skeletal muscle decline) opens new venues for the development of interventions to slow or reverse the progression of this condition. Here, we present a novel conceptualisation of PF which will possibly promote significant advancements over the traditional approaches to this syndrome by enabling the precise operationalisation of the condition, a clear identification of the affected population and the rapid translation of findings to the clinical arena.
Coping with information silos: An examination of the medication management process in residential aged care facilities (RACFs)
Authors: Tariq Amina  , Georgiou Andrew  , Westbrook Johanna
Published: February 2025

The aim of this study was to examine the actions of geographically dispersed process stakeholders (doctors, community pharmacists and RACFs) in order to cope with the information silos that exist within and across different settings. The study setting involved three metropolitan RACFs in Sydney, Australia and employed a qualitative approach using semi-structured interviews, non-participant observations and artefact analysis. Findings showed that medication information was stored in silos which required specific actions by each setting to translate this information to fit their local requirements. A salient example of this was the way in which community pharmacists used the RACF medication charts to prepare residents' pharmaceutical records. This translation of medication information across settings was often accompanied by telephone or face-to-face conversations to cross-check, validate or obtain new information. Findings highlighted that technological interventions that work in silos can negatively impact the quality of medication management processes in RACF settings. The implementation of commercial software applications like electronic medication charts need to be appropriately integrated to satisfy the collaborative information requirements of the RACF medication process.
Ontology patterns-based transformation of clinical information
Authors: Legaz-García María del Carmen  , Martínez-Costa Catalina  , Miñarro-Giménez José Antonio  , Fernández-Breis Jesualdo Tomás  , Schulz Stefan  , Menárguez-Tortosa Marcos
Published: February 2025

The semantic interoperability of clinical information requires methods able to transform heterogeneous data sources from both technological and structural perspectives, into representations that facilitate the sharing of meaning. The SemanticHealthNet (SHN) project proposes using semantic content patterns for representing clinical information based on a model of meaning, preventing users from a deep knowledge on ontology and description logics formalism. In this work we propose a flexible transformation method that uses semantic content patterns to guide the mapping between the source data and a target domain ontology. As use case we show how one of the semantic content patterns proposed in SHN can be used to transform heterogeneous data about medication administration.
Monitoring Food Safety Violation Reports from Internet Forums
Authors: Kate Kiran  , Negi Sumit  , Kalagnanam Jayant
Published: February 2025

Food-borne illness is a growing public health concern in the world. Government bodies, which regulate and monitor the state of food safety, solicit citizen feedback about food hygiene practices followed by food establishments. They use traditional channels like call center, e-mail for such feedback collection. With the growing popularity of Web 2.0 and social media, citizens often post such feedback on internet forums, message boards etc. The system proposed in this paper applies text mining techniques to identify and mine such food safety complaints posted by citizens on web data sources thereby enabling the government agencies to gather more information about the state of food safety. In this paper, we discuss the architecture of our system and the text mining methods used. We also present results which demonstrate the effectiveness of this system in a real-world deployment.
Predicting the Operations Alert Levels for Dengue Surveillance and Control
Authors: Sampath Kameshwaran  , Dayama Pankaj
Published: February 2025

Operations alert level is a discrete measure that quantifies the severity of epidemic outbreak with respect to operational measures. The alert levels are ordered based on the amount of response operations required. In this paper, we develop multi-class classification models based on ordinal multinomial logistic regression for predicting the alert levels for dengue at twenty weeks in advance. The regression uses the dynamic lag non-linear models to account for the non-linearity of the dengue incidence, along with its lagged values. The performance of the models is tested for the dengue case count data of Singapore.
Towards a global IT system for personalized medicine: the Medicine Safety Code initiative
Authors: Samwald Matthias  , Minarro-Giménez José Antonio  , Blagec Kathrin  , Adlassnig Klaus-Peter
Published: February 2025

The availability of pharmacogenomic data of individual patients can significantly improve physicians' prescribing behavior, lead to a reduced incidence of adverse drug events and an improvement of effectiveness of treatment. The Medicine Safety Code (MSC) initiative is an effort to improve the ability of clinicians and patients to share pharmacogenomic data and to use it at the point of care. The MSC is a standardized two-dimensional barcode that captures individual pharmacogenomic data. The system is backed by a web service that allows the decoding and interpretation of anonymous MSCs without requiring the installation of dedicated software. The system is based on a curated, ontology-based knowledge base representing pharmacogenomic definitions and clinical guidelines. The MSC system performed well in preliminary tests. To evaluate the system in realistic health care settings and to translate it into practical applications, the future participation of stakeholders in clinical institutions, researchers, pharmaceutical companies, genetic testing providers, health IT companies and health insurance organizations will be essential.
Formalizing Mappings to Optimize Automated Schema Alignment: Application to Rare Diseases
Authors: Maaroufi Meriem  , Choquet Rémy  , Landais Paul  , Jaulent Marie-Christine
Published: February 2025

In the era of data sharing and systems interoperability, the automation of data schema alignment has become a priority. Discovering data mappings is the aim of many alignment approaches that have been described in the literature and the effectiveness of which depends on data specifications. In this context, we propose a method for mappings formalization that allows automated data integration processes optimization. This method, involving both data element level and value element level, allows an automated inference of mappings expressed by rules. In this paper, we start by describing the methods used to achieve this mappings formalization. Then, we explain how it has been validated by characterizing data from two use cases. We end up by discussing the objectives of the proposed formalization.
Using an Iconic Language to Improve Access to Electronic Medical Records in General Medicine
Authors: Simon Christian  , Hassler Sylvain  , Beuscart–Zephir Marie-Catherine  , Favre Madeleine  , Venot Alain  , Duclos Catherine  , Lamy Jean-Baptiste
Published: February 2025

Physicians have difficulties to access and analyse information in a medical record. In a previous work on drug databanks, we have shown that with an iconic language as VCM, an icon-based presentation can help physicians to access medical information. Our objective, herein, is to study whether VCM can be used in an electronic medical record for facilitating physician access in general practice. We identify the data and the functionalities of an electronic medical record that could benefit from VCM icons representing clinical findings, patient history, etc. We also present a preliminary evaluation of this new icon-focused interface. We conclude by discussing the results like the assessment of the user's satisfaction and pointing out the importance of coding data.
Development of Temporal Context-based Feature Abstractions for Enabling Monitoring and Managing of Interventions
Authors: Hsueh Pei-Yun Sabrina  , Ramakrishnan Sreeram  , Yu Ke  , Akushevich Marina  , Sharma Shweta  , Mooiweer Peter
Published: February 2025

Disease self-management programs and intervention/care plan monitoring are often unable to systematically leverage patient-generated information, especially those requiring interpretation of the temporal contexts of the measurement. While existing techniques help in capturing and storing the relevant data, their ability to determine appropriate metrics most sensitive to that individual is limited or non-existent. This is attributable to the lack of unifying models for enabling such interpretations and the non-trivial process required to generate meaningful feature abstractions to support individualized prognosis. To address these issues, a data-driven approach designed to identify the right abstractions for key features relevant to personalization and monitoring of care is discussed.
Sublanguage Analysis of Medical Weblogs
Authors: Denecke Kerstin
Published: February 2025

Analysing medical social media data gains in importance given an increased availability of such data. In this paper, we analyse the language of medical blogs by means of a sublanguage analysis. More specifically, verb usage, semantic categories of used words as well as co-occurrence patterns are determined by means of natural language processing tools. The results show that in this text type, many concepts refer to the semantic categories Living Beings and Chemicals and Drugs. In contrast to clinical documents, the spectrum of verbs in blogs is very broad creating semantic relations of different types. From these language characteristics, we conclude for automatic processing tools for medical blogs that methods for reference resolution and for relation extraction where the relation type does not need to be specified in advance are required.
Towards an automatic harmonization of the representation of medical reports to assess their similarities
Authors: Parès Yves  , Aimé Xavier  , Charlet Jean  , Jaulent Marie-Christine
Published: February 2025

Numerous hospitals contain unexploited knowledge deposits. These often take the form of unstructured records with heterogeneous content, which, at various levels of those organizations, register past cases. Those records are for instance patient medical records. Accessing the knowledge and experience they gather would help us to handle present cases. We present here a method to normalize textual reports in foetopathology in order to constitute a proper case base that will be the target of case-based reasoning techniques. Statistics of noise and silence generated by this method on 10 cases are presented.
Feasibility of Text Visualization in Text Steganalysis
Authors: Ab. Rauf Rose Hafsah  , Jamal Nurhafizah
Published: February 2025

Text steganography was never a threat until it has been manipulated by cyber criminals or terrorist for their own benefit. Secret messages sent through steganography with bad intent can cause harm and to the extent jeopardizing the security of a company or country. Thus, text steganalysis is critically needed for forensic investigation purposes due to the tremendous usage of digital media in accessing and disseminating information. Apparently, there has not been much research done on text steganalysis and mostly researches are based on statistical approach. The aim of the research is to propose a new text steganalysis technique in detecting format-based steganography using a simple and effective approach. This paper introduces a novel text steganalysis technique based on color-coded text visualization. An encoding scheme for the text visualization is designed by analyzing text features with respect to colors to detect whitespace pattern. The aim here is to distinguish between natural and stegano text by color-coded visualization. Experiments show that the detection performance accuracy successfully reaches 96.67% with remarkably high precision and recall. This finding has proved that the text visualization technique is capable in detecting text steganography effectively by simply looking at the text visualization image. It is evidently shown that a simple text steganalysis technique is successfully discovered and it is feasible.
Classifying Software Requirements Using Kano's Model to Optimize Customer Satisfaction
Authors: Mustasfa Balsam A.
Published: February 2025

Requirements elicitation is a critical and error-prone stage in software development where user requirements should be defined accurately to ensure the success of the software system. In a highly competitive market, businesses are focusing more on satisfying customer needs which largely affect customers decision to buy the software product, providing the potential for the success of the software in the market. This study aims to investigate whether eliciting and thus fulfilling most of the individual software requirements imply a high level of customer satisfaction, and what type of requirements that define the perceived product quality and as a result customer satisfaction. To achieve this goal, a questionnaire is conducted based on Kano's model for customer satisfaction in an academic environment. The results showed the priorities that should be followed in the implementation of user requirements which may lead to a higher customer satisfaction and as a consequence to the success of the software.
Rapid prototyping for Low-Level Hybridization of PSO-GA
Authors: Masrom S.  , Abidin Siti Z.Z.  , Omar N.  , Nasir K.
Published: February 2025

Responding to the difficulties of implementing low-Level Hybridization (LLH), this paper introduces general implementation frameworks for the algorithm focusing on the two well-known meta-heuristics namely Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). Furthermore, in order to provide a more effective approach for the rapid algorithm design and programming implementation, a set of scripting language constructs has been developed that employs the proposed implementation frameworks. For evaluation, twelve algorithms that composed of nine LLHs and three single PSO have been coded and executed with the scripting language. The codes are shown to concisely describe the algorithm in a directly publishable form. In addition, the remarkable optimization results of the LLHs has demonstrated the effectiveness of the LLH mechanisms provided by the proposed implementation frameworks.
The Interaction of Subsystems Operating in a Container Terminal: Modeling Peculiarities and Simulation Solutions for the Logistics Chain Optimization
Authors: Converso Guseppe  , Gallo Mosè  , Murino Teresa
Published: February 2025

A container terminal functioning depends on the interaction of numerous subsystems, which, in turn, are related to other systems. Indeed the performances of the container terminal are affected by many factors such as component subsystems of the whole system, equipment, resources and procedure. To represent the relation between those factors, a System Dynamics approach is used. The approach will show the effect of any changes of those factors to performance, to the whole performance and to the performance of the specific factor. The goal of this paper is to model, through a system dynamics approach, terminal container operations and to provide (propose) a new scenario, based on the reassignment of the resources. This study aims to provide a simulation tool, which able to control performances of each subsystem and of whole system and to predict the effect of performance improvement of sub systems on whole system. The choice of utilizing the SD paradigm derives from the fact that for complex systems, such as the terminal container one, it is very difficult to collect real data regarding its functioning and it is possible show the effect of any changes of those factors to performance, to the whole performance and to the performance of the specific factor.
An Intelligent Real-Time Application for Casting Shadows in Outdoor Environments
Authors: Kolivand Hoshang  , Sunar Mohd Shahrizal
Published: February 2025

Calculating and measuring shadows with respect to the sun position in any outdoor games is a challenging and heavy task which must be taken into account. In this paper an intelligent real-time platform for outdoor environment is presented to control the amount and direction of shadows with respect to the sun position. The sun position reveals an attractive part of outdoor games. To create shadow, shadow volume using stencil buffer and depth buffer are used. By calculating the sun position in any specific date, time and location, shadow is casted accordingly. Length and angle of shadow are two parameters measured for building designers and both of them are calculated in this real-time platform. Therefore, the application can be used for investigation on behavior of the sun position and direction of shadows for any outdoor games and outdoor rendering.
On Rationality Conditions for Epistemic Probabilities in Abstract Argumentation
Authors: Baroni Pietro  , Giacomin Massimiliano  , Vicig Paolo
Published: February 2025

Epistemic probabilities in argumentation frameworks are meant to represent subjective degrees of belief in the acceptance of arguments. As such, they are subject to some rationality conditions, taking into account the attack relation between arguments. This paper provides an advancement with respect to the previous literature on this matter by casting epistemic probabilities in the context of de Finetti's theory of subjective probability and by analyzing and revising the relevant rationality properties in relation with de Finetti's notion of coherence. Further, we consider the extension to Walley's theory of imprecise probabilities and carry out a preliminary analysis about rationality conditions in this more general context.
Coalitional games for abstract argumentation
Authors: Bonzon Elise  , Maudet Nicolas  , Moretti Stefano
Published: February 2025

In this work we address the issue of uncertainty in abstract argumentation. We propose a way to compute the relative relevance of arguments by merging the classical argumentation framework proposed in [5] into a game theoretic coalitional setting, where the worth of a collection of arguments can be seen as the combination of the information concerning the defeat relation and the preferences over arguments of a “user”. Via a property-driven approach, we show that the Shapley value [17] for coalitional games defined over an argumentation framework, can be applied to resume all the information about the worth of sets of arguments into an attribution of relevance for the single arguments. We also prove that, for a large family of (coalitional) argumentation frameworks, the Shapley value can be easily computed.
GRAFIX: a Tool for Abstract Argumentation
Authors: Cayrol Claudette  , Doutre Sylvie  , Lagasquie-Schiex Marie-Christine
Published: February 2025

GRAFIX is a graphical tool for handling abstract argumentation graphs. GRAFIX allows the edition and the presentation of argumentation graphs (or sets of graphs), and the execution of some “predefined treatments” (called “server treatments”) on the current graph(s) such as, for instance, computing various acceptability semantics, or computing the strength of arguments. GRAFIX also allows the user to introduce her own treatments (“client treatments”).
Generating Challenging Benchmark AFs
Authors: Cerutti Federico  , Giacomin Massimiliano  , Vallati Mauro
Published: February 2025

In this paper we describe the AFBenchGen system, which allows to automatically generate randomised argumentation frameworks for testing purposes.
AsseSS: A Tool for Assessing the Support Structures of Arguments in User Comments
Authors: Park Joonsuk  , Cardie Claire
Published: February 2025

We present AsseSS, a tool for identifying and assessing the support structures of arguments in user comments. Given a comment, the system first classifies elementary units of arguments comprising the comment based on the type of appropriate support. Then, it detects support relations among the elementary units. With this information, it is possible to decide whether the existing support relation is of suitable type. Also, in the case that no support has been provided for an elementary unit, an appropriate type of support can be determined.
Spoken Interaction with Broadcast Debates
Authors: Medellin Rolando  , Reed Chris  , Hanson Vicki
Published: February 2025

The constant emergence and change of technologies in the form of digital products and services can cause certain groups of the population to feel excluded, older adults represent one such group. We investigate how to combine applied research on computational models of argument and human-centric computing to impact the way in which older adults interact with broadcast debates. This paper describes a technology application that uses a speech recognition interface to interact with broadcast debates. The application classifies spoken utterances and creates positive or negative “votes” related arguments from a debate. We describe a user study where older adults interact with a debate using the application. Our results indicate that the use of speech recognition, extra information provided to users, and feedback on their interaction, plays an important role in their engagement with the debate.
KB_Bio_101: Content and Challenges
Authors: Chaudhri Vinay K.  , Elenius Daniel  , Hinojoza Sue  , Wessel Michael
Published: February 2025

KB_Bio_101 contains knowledge about processes and mechanisms, and was created from an introductory textbook in biology. We give an overview of its content, summarize the key concepts represented, and give some examples of problems requiring further ontology research.
Dependency Parsing of Estonian: Statistical and Rule-based Approaches
Authors: Muischnek Kadri  , Müürisep Kaili  , Puolakainen Tiina
Published: February 2025

This paper gives an overview of the latest developments in computational syntactic analysis of Estonian. We present Estonian Dependency Treebank, an ongoing corpus annotation project. Although the treebank construction is still under way, we have used it for training MaltParser and experimenting with combining MaltParser with a rule-based Constraint Grammar parser for Estonian. MaltParser achieves unlabeled attachment score (UAS; correct links to head node) of 83.4% and label accuracy (LA) of 88.6%. Labeled attachment score (LAS) was 80.3%.
Syntactic Engine for the Lithuanian Language
Authors: Boizou Loïc  , Zamblera Francesco
Published: February 2025

This paper describes the syntactic engine for the Lithuanian language which is currently being developed at the Vytautas Magnus University. The program was written in Haskell and consists of four modules: a constituent analysis, a shallow constituent analysis, a dependency analysis and a dependency analysis augmented with thematic roles. The “work-in-progress” status of the project is emphasized, as well as the significant results achieved in the current stage.
Discovery of Spatio-Temporal Patterns from Location Based Social Networks
Authors: Bejar Javier  , Alvarez Sergio  , Garcia Dario  , Gomez Ignasi  , Oliva Luis  , Tejeda Arturo  , Vazquez-Salceda Javier
Published: February 2025

Location Based Social Networks (LBSN) have become an interesting source for mining user behavior. These networks (e.g. Twitter, Instagram or Foursquare) collect spatio-temporal data from users in a way that they can be seen as a set of collective and distributed sensors on a geographical area. Processing this information in different ways could result in patterns useful for several application domains. These patterns include simple or complex user visits to places in a city or groups of users that can be described by a common behavior. The domains of application range from the recommendation of points of interest to visit and route planning for touristic recommender systems to city analysis and planning.
Collaborative Assessment
Authors: Gutierrez Patricia  , Osman Nardine  , Sierra Carles
Published: February 2025

In this paper we introduce an automated assessment service for online learning support in the context of communities of learners. The goal is to introduce automatic tools to support the task of assessing massive number of students as needed in Massive Open Online Courses (MOOC). The final assessments are a combination of tutor's assessment and peer assessment. We build a trust graph over the referees and use it to compute weights for the assesments aggregations.
One-dimensional T-preorders
Authors: Boixader D.  , Recasens J.
Published: February 2025

This paper studies T-preorders by using their Representation Theorem that states that every T-preorder on a set X can be generated in a natural way by a family of fuzzy subsets of X. Especial emphasis is made on the study of one-dimensional T-preorders (i.e.: T-preorders that can be generated by only one fuzzy subset). Strong complete T-preorders are characterized.
Manifold learning visualization of Metabotropic Glutamate Receptors
Authors: Cárdenas Martha-Ivón  , Vellido Alfredo  , Giraldo Jesús
Published: February 2025

G-Protein-Coupled Receptors (GPCRs) are cell membrane proteins with a key role in biological processes. GPCRs of class C, in particular, are of great interest in pharmacology. The lack of knowledge about their 3-D structures means they must be investigated through their primary amino acid sequences. Sequence visualization can help to explore the existing receptor sub-groupings at different partition levels. In this paper, we focus on Metabotropic Glutamate Receptors (mGluR), a subtype of class C GPCRs. Different versions of a probabilistic manifold learning model are employed to comparatively sub-group and visualize them through different transformations of their sequences.
A hierarchical decision support system to evaluate the effects of climate change in water supply in a Mediterranean river basin
Authors: Chao Tzu Chi  , Del Vasto-Terrientes Luis  , Valls Aida  , Kumar Vikas  , Schuhmacher Marta
Published: February 2025

This paper presents a study of the applicability and suitability of ELECTRE-III-H for evaluating sectorial water allocation policies for a water stressed Mediterranean area of Northeastern Spain (Tarragona). Proposed method is based on the outranking model of decision support systems which constructs a partial preorder based on pairwise preference relations among all the possible actions. This work has addressed the multi-criteria water management problem considering several water allocation strategies to mitigate water scarcity induced by climate change. We compare several adaptation measures including alternative water sources, inter basin water transfer and sectorial demand management coming from industry, agriculture and domestic sectors.
The spectrum of needed e-Health capacity building – towards a conceptual framework for e-Health ‘training’
Authors: Scott Richard E.  , Mars Maurice
Published: February 2025

To ensure the benefits of e-Health are maximised, e-Health capacity building requires a formal and logical structure that describes broad areas that must be addressed. In this paper a Conceptual Framework for e-Health Training is derived that could guide well-thought-out and consistent development of future capacity building efforts. Consideration of e-health education needs is the mandate of the International Society for Telemedicine and eHealth (ISfTeH) Education Working Group. Through this Group a structured but generic 2 – 3 day telehealth training programme for healthcare professionals was developed and trialed, and the Group has been asked to develop a telehealth curriculum. Ongoing debate and feedback has made it clear that this is insufficient. In an effort to establish an Conceptual Framework for e-Health Training four aspects or levels of instruction are considered necessary at this time: ‘education’ of a small number of personnel leading to an academic graduate qualification (MSc, PhD); ‘instruction’ of a slightly larger number of personnel (e.g., to provide proficient network managers); ‘teaching’ of a still larger number of personnel in terms of the use of specific technologies, devices, and services; and ‘awareness’ of the general populace. Collectively this is referred to as e-health ‘training’. If implemented in a coordinated and structured manner, such an approach would stimulate e-health growth and application globally. It would generate demand (awareness), allow that demand to be filled (teaching) and guided (instruction), with the focus on technologically appropriate and needs-based solutions (education). The Education Working Group intends to develop outlines of recommended instructional and informational content for training at each level. Here the four levels are highlighted and the terms, hierarchy, and descriptions of the Education Working Group's proposed approach to its Conceptual Framework for e-Health Training, are formalised.
Refocussing our attention on ‘need’ in the application of telehealth
Authors: Scott Richard E.  , Affleck-Hall Louise C.  , Mars Maurice
Published: February 2025

Given that e-health (including telehealth) is an opportunity cost (i.e., redirecting already scarce healthcare resources away from more traditional healthcare delivery needs), performing needs assessment ensures that investment of resources in e-health is appropriate. Yet the current literature shows research is on clever, narrow, or ‘one disease’ telehealth applications (e.g., telediabetes; telesurgery), or creation of electronic records (e.g., EHR's; EMRs; HIS's) and accumulation of ‘big data’ (e.g. biosurveillance). Given the reality of comorbidity, the complexity of telesurgery, and the lack of successful country-wide EHR implementations, are we using our investments in e-health wisely? The requirement for needs assessment to guide selection and implementation of evidence-based and needs-based e-health solutions is seldom adhered to. We must refocus our efforts on more pragmatic needs. Where might insight to evidence-based health needs come from? Using South Africa as an example, this paper highlights several readily available resources, and how they may guide future telehealth implementations in South Africa and elsewhere.
A complete timber building system for multi-storey buildings
Authors: Daerga Per-Anders  , Girhammar Ulf Arne  , Källsner Bo
Published: February 2025

The Masonite Flexible Building (MFB) system is a complete timber building system for commercial and residential multi-storey houses. The system is for tall and large buildings with long floor spans. The MFB system uses prefabricated wall, floor and roof elements which are delivered in flat packages and erected on the construction site. The MFB system might be classified as a panel construction, where the load-carrying structure consists of composite light-weight timber I-beams mechanically integrated with a composite laminated wood panel called PlyBoard™. The I-beams and the panel form a strong and rigid carcass for wall and floor elements, making the system well suited for high rise construction. A key feature of the MFB system is the connection technique which enables swift erection of the system units on site. The PlyBoard™ panels are provided with a continuous slot along the periphery. The slot is used as a general connection interface for the joining of the wall elements. The floor elements are suspended and hooked onto the bearing walls using sheet steel hangers, allowing swift assembling of the floor deck and enabling direct vertical wall-to-wall load transfer parallel to grain. The paper presents the construction principles, system components and units, erection technique, functional and architectural aspects of the Masonite Building System.
Evaluation of the scale effect for the tensile strength of aligned flax fiber-reinforced composites
Authors: Andersons Jānis
Published: February 2025

Confinement of concrete structural elements by fiber-reinforced polymer-matrix composite sheets is increasingly being used to strengthen or retrofit a structure. Along with carbon, glass, and basalt fiber reinforcement, natural fibers are being considered for such applications. Utilization of plant-derived natural fibers as the reinforcement of polymer-matrix composites is driven by economic and environmental reasons. When using composites in load-bearing applications, the dependence of strength on the material volume subjected to loading, i.e. the scale effect of strength, should be taken into account in design. Composite specimens of different sizes, produced from flax fiber/epoxy matrix prepregs, were tested in tension in fiber direction in order to elucidate the scale effect of the tensile strength. The strength distribution at a fixed specimen size was shown to deviate slightly from that of the Weibull strength statistics. A probabilistic weakest-link model of the strength in tension along the reinforcement direction was applied to theoretically evaluate the magnitude of scale effect.