bluuebunny/crossref_metadata_2025 huggingface dataset:
An Architecture For Humanoid Robot Expressing Emotions And Personality
Authors: Chella Antonio  , Sorbello Rosario  , Vassallo Giorgio  , Pilato Giovanni
Published: February 2025

In this paper we illustrate the cognitive architecture of a humanoid robot based on the proposed paradigm of Latent Semantic Analysis (LSA). The LSA approach allows the creation and the use of a data driven high-dimensional conceptual space. This paradigm is a step towards the simulation of an emotional behavior of a robot interacting with humans. The Architecture is organized in three main areas: Sub-conceptual, Emotional and Behavioral. The first area processes perceptual data coming from the sensors. The second area is the “conceptual space of emotional states” which constitutes the sub-symbolic representation of emotions. The last area activates a latent semantic behavior related to the humanoid emotional state. The robot generates its overall behavior also taking into account its “personality”. To validate the system, we implemented the system on a Aldebaran NAO humanoid robot.
Application Feedback in Guiding a Deep-Layered Perception Model
Authors: Arel Itamar  , Berant Shay
Published: February 2025

Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference is a consequence of robust perception, allowing the agent to interpret the environment with which it interacts and map such interpretation to desirable actions. However, in existing deep learning schemes, the perception process is guided purely by spatial regularities in the observations, with no feedback provided from the target application (e.g. classification, control). In this paper, we propose a simple yet powerful feedback mechanism, based on adjusting the sample presentation distribution, which guides the perception model in allocating resources for patterns observed. As a result, a much more focused state inference can be achieved leading to greater accuracy and overall performance. The proposed paradigm is demonstrated on a small-scale yet complex image recognition task, clearly illustrating the advantage of incorporating feedback in a deep-learning based cognitive architecture.
Fair Mechanisms for Recurrent Multi Unit Combinatorial Auctions
Authors: Murillo Javier  , López Beatriz
Published: February 2025

Auctions have been used to deal with resource allocation in multi-agent systems. In some environments like service-oriented electronic markets, it is advisable to use recurrent auctions since resources are perishable and auctions are repeated over time with the same or a very similar set of agents. Recurrent auctions are a series of auctions of any kind where the result of one auction may influence the following one. As a drawback some problems do appear that could cause the market to collapse at mid-long term. Previous works have dealt with these problems by adding fairness to the auction outcomes. Those works dealt with multi-unit auctions, in which several units of an item are sold, and they do not assure that agents cannot manipulate the auctions for their own benefit. In this paper, we present new fair mechanisms that goes further. First we focus on combinatorial auctions, in which different items, and several units per item are sold in each auction, which poses additional challenges when they are recurrent. And second, the mechanisms are shown to prevent some agents' manipulation of the auction outcomes.
Onto.PT: Automatic Construction of a Lexical Ontology for Portuguese
Authors: Gonçalo Oliveira Hugo  , Gomes Paulo
Published: February 2025

This ongoing research presents an alternative to the manual creation of lexical resources and proposes an approach towards the automatic construction of a lexical ontology for Portuguese. Textual sources are exploited in order to obtain a lexical network based on terms and, after clustering and mapping, a wordnet-like lexical ontology is created. At the end of the paper, current results are shown.
Learning Fuzzy Models of User Interests in a Semantic Information Retrieval System
Authors: Dragoni Mauro  , Pereira Célia da Costa  , Tettamanzi Andrea G.B.
Published: February 2025

We propose an approach to user model-based information retrieval which uses an evolutionary algorithm to learn fuzzy models of user interests and to dynamically track their changes as the user interacts with the system. The system is ontology-based, in the sense that it considers concepts behind terms instead of simple terms.
Intuitionistic Logic and Legal Ontologies
Authors: Haeusler Edward H.  , De Paiva Valeria  , Rademaker Alexandre
Published: February 2025

This paper briefly shows how Intuitionistic Description Logic can be considered a good alternative to classical ALC as far as formalizing legal knowledge is concerned.
A lightweight formal model of two-phase democratic deliberation
Authors: Bench-Capon Trevor  , Prakken Henry
Published: February 2025

A formal two-phase model of democratic policy deliberation is presented, in which in the first phase sufficient and necessary criteria for proposals to be accepted are determined (the ‘admissible’ criteria') and in the second phase proposals are made and evaluated in light of the admissible criteria resulting from the first phase. Argument schemes for both phases are defined and formalised in a logical framework for structured argumentation. The process of deliberation is abstracted from and it is assumed that both deliberation phases result in a set of arguments and attack and defeat relations between them. Then preferred semantics is used to evaluate the acceptability status of criteria and proposals.
Written Laws are Like Spiders Webs
Authors: Sheridan John
Published: February 2025

How is the web changing the nature of public access to legislation? The Scythian Philosopher, Anacharsis, did not have the World Wide Web or legal informatics in mind when he compared written laws to spiders webs, but the simile is apposite. The web has been a force for massively democratising access to legislation and other legal materials. How does the public interact with primary sources of legislation as part of their engagement with legal systems and processes? What do they think they are looking at when they interact with legislation online or understand about the information they are viewing? This keynote address examines the role and expectations of a public legislation service from the perspective of legislation.gov.uk. It will explore the motivations and needs of users, as well as some of the unique challenges associated with delivering legislation online.
RDB2OWL: a RDB-to-RDF/OWL Mapping Specification Language
Authors: Čerāns Kārlis  , Būmans Guntars
Published: February 2025

We present a RDB2OWL mapping specification language that is aimed at presenting RDB-to-RDF/OWL mappings possibly involving advanced correspondences between the database and ontology in a human comprehensible way. The RDB2OWL mappings can be regarded as documentation of the database-to-ontology relation. The RDB2OWL language reuses the OWL ontology structure as a backbone for mapping specification by placing the database link information into the annotations for ontology classes and properties. It features reuse of database table key information, user defined and table functions, as well as multiclass conceptualization that is essential for keeping the mapping compact in case of creating a conceptual partitioning of large database tables. We report also on initial implementation experience for a subset of RDB2OWL constructs.
Test Points in Self-Testing
Authors: Diebelis Edgars  , Bicevskis Janis
Published: February 2025

This paper is devoted to the implementation of self-testing, which is one of the smart technologies. Self-testing contains two components: full set of test cases and built-in testing mechanism (self-testing mode). The test cases have been collected since project start and they have been used in integration, acceptance and regression testing. The built-in self-testing mode provides execution of test cases and comparison of test results with saved standard values in different environments. This paper continues the approach described in article An Implementation of Self-Testing, expanding it with the concept of a test point, which allows flexible control of testing actions. Furthermore, the paper describes the first implementation of self-testing using test points.
Information Security Management Method for Households
Authors: Murane Ilze
Published: February 2025

Threats to the home computer network are the same as for business organizations. Business has spent years to improve information security management; there are risk and security management professionals. Households usually lack knowledge and resources to protect electronic information, but security is necessary for everybody. The article deals with threats stemming from new technological possibilities that are entering households. It outlines the importance of information security management and security awareness in households. It also describes a solution for encouraging security awareness in relation to family electronic information by defining roles and responsibilities in the information security management process. The paper suggests a method for assessing information security risks in a private environment.
A Formal Presentation of the Process-Ontological Model
Authors: Palomäki Jari  , Keto Harri
Published: February 2025

The term of a “process” is used in Software Engineering (SE) theories and practices in many different ways, which cause confusion. In this paper we give a more formal description a Process-Ontological Model which can be used to analyze some problematic nature of software engineering. Firstly we present a process ontology in which everything is in a process. There are two kinds of processes: “eternal” and actual, where actual processes are divided into physical and mental processes. Secondly, we propose a topological model T for actual processes. Thirdly we propose an algebraic model for eternal processes, i.e. concepts. Lastly, by using category theory we connect these two models of processes together in order to get a category theoretical description of the Process-Ontological Model. That model is a functor category CO(T)op, i.e. the category of presheaves of concepts on T. Moreover, by using the Yoneda embedding we can represent the Process-Ontological Model as certain “structured sets”, and all of their “homomorphisms”.
Towards Context Modelling and Reasoning in a Ubiquitous Campus
Authors: Gilman Ekaterina  , Su Xiang  , Riekki Jukka
Published: February 2025

This paper proposes context modelling and reasoning to enable intelligent services in a ubiquitous campus. An ontology-based modelling includes upper level context modelling and domain-specific modelling for the campus area. Ontological and rule-based inferencing, which facilitate ubiquitous functionality for daily life, are implemented by utilizing the context model developed. A student assistant scenario is presented, demonstrating the usefulness of ontological context modelling and reasoning for highly distributed environments, such as a university campus.
A Culture-Dependent Metadata Creation Method for Color-based Impression Extraction with Cultural Color Spaces
Authors: Suhardijanto Totok  , Yasushi Kiyoki  , Barakbah Ali Ridho
Published: February 2025

It is becoming important to realize a cross-cultural communication environment among societies with different cultures. Images are effective media for exchanging cultural characteristics across cultures. This paper presents a culture-dependent color-emotion model for cross-culture oriented image retrieval system that realizes color-emotion spaces to search images with human emotion aspects. Many image retrieval systems have been featured by color analysis, but culture-dependent aspects of images are not considered intensively. Our system creates color impression spaces based on Ekman's 17 basic emotions. For the first step, the culture-dependent color impression space is created by using cultural-features. We apply automatic clustering using our previous method “Valley Tracing” in order to generate dynamic representative colors. This system automatically creates a set of culture-dependent color impression metadata.
Data Fusion with Entropic Priors
Authors: Palmieri Francesco  , Ciuonzo Domenico
Published: February 2025

In classification problems, lack of knowledge of the prior distribution may make the application of Bayes' rule inadequate. Uniform or arbitrary priors may often provide classification answers that, even in simple examples, may end up contradicting our common sense about the problem. Entropic priors, determined via the application of the maximum entropy principle, seem to provide a much better answer and can be easily derived and applied to classification tasks when no more than the likelihood functions are available. In this paper we present an example in which the use of the entropic priors is compared to the results of the application of Dempster-Shafer theory.
Discovering Network Phenomena in the Epileptic Electroencephalography through Permutation Entropy Mapping
Authors: Mammone N.  , La Foresta F.  , Morabito F.C.
Published: February 2025

The genesis of epileptic seizures is nowadays still mostly unknown. The hypothesis that most of scientist share is that an abnormal synchronization of different groups of neurons seems to trigger a recruitment mechanism that leads the brain to the seizure in order to reset this abnormal condition. If we aim to understand the genesis of epileptic seizures so that we can be able to control them, we need a system to be able to detect, follow and interfere with these dynamics. The aim of this paper is to introduce a technique to detect these phenomena and, to this purpose, a powerful brain mapping based on the Permutation Entropy (PE) is proposed. PE topography is constructed and then modelled in order to come up with a spatiotemporal clustering of the areas of the brain. This technique was tested over 24 EEG dataset from patients affected by absence seizures and on 40 EEG from healthy subjects. The results show an abnormal coupling among the electrodes that will be involved in seizure development. In particular, the frontal/temporal area (critical during the ictal stages in these patients) appears steadily associated to higher PE levels, compared to the rest of the brain, even during the interictal stages.
Multi-Modal Analysis of Decision Making in the Prisoner's Dilemma Game
Authors: Hristova Evgenia  , Grinberg Maurice
Published: February 2025

For the first time, behavioral data, biosignals and eye-movement recordings are used to study the disjunction effect in the Prisoner's dilemma game. The effect is manifested in choosing one of the possible moves in the PD game (cooperation) more often when the opponent's move is unknown than when it is known, no matter which of the two possible moves it is. Several explanations for this effect have been proposed some of which attribute such paradoxical behavior to the higher cognitive load when the opponent's move is not known. The goal of the present paper is to explore the potential of galvanic skin response and eye-movement recordings to study the affective responses and the information acquisition patterns contributing to this effect.
Learning functional linkage networks with a cost-sensitive approach
Authors: Bertoni Alberto  , Frasca Marco  , Grossi Giuliano  , Valentini Giorgio
Published: February 2025

Assigning functional classes to unknown genes or proteins on diverse large-scale data is a key task in biological systems, and it needs the integration of different data sources and the analysis of functional hierarchies. In this paper we present a method based on Hopfield neural networks which is a variant of a precedent semi-supervised approach that transfers protein functions from annotated to unannotated proteins. Unlike this approach, our method preserves the prior information and takes into account the imbalance between positive and negative examples. To obtain more reliable inferences, we use different evidence sources, and integrate them in a Functional Linkage Network (FLN). Preliminary results show the effectiveness of our approach.
An intraday trading model based on Artificial Immune Systems
Authors: Chicco Davide  , Resta Marina
Published: February 2025

This paper introduces a trading system where decisions are driven by an algorithm belonging to the class of Artificial Immune Systems (AIS). In practice, the system we have built operates according to a two-steps procedure, where, in the first stage, the Negative Selection Algorithm (NSA) runs on historical values of the financial timeseries, while in the second phase, at each time t the outcomes of the NSA are merged into a decision support system that uses them to suggest an active trading position (long, short or standby, i.e.: buy, sell, or doing nothing) at time t + 1. The effectiveness of the procedure is examined using intraday data from the FOReign EXchange market (FOREX), and the results are evaluated mainly under the financial profile by means of typical indicators of financial performances. At the present time, the results suggest that the procedure can be proficiently used especially during downward periods of the market (descending prices), to hedge investors from the probability of higher drawdown.
Topological Analysis of Metabolic Networks Based on Petri Net Theory
Authors: Zevedei-Oancea Ionela  , Schuster Stefan
Published: February 2025

Petri net concepts provide additional tools for the modelling of metabolic networks. Here, the similarities between the counterparts in traditional biochemical modelling and Petri net theory are discussed. For example the stoichiometry matrix of a metabolic network corresponds to the incidence matrix of the Petri net. The flux modes and conservation relations have the T-invariants, respectively, P-invariants as counterparts. We reveal the biological meaning of some notions specific to the Petri net framework (traps, siphons, deadlocks, liveness). We focus on the topological analysis rather than on the analysis of the dynamic behaviour. The treatment of external metabolites is discussed. Some simple theoretical examples are presented for illustration. Also the Petri nets corresponding to some biochemical networks are built to support our results. For example, the role of triose phosphate isomerase (TPI) in Trypanosoma brucei metabolism is evaluated by detecting siphons and traps. All Petri net properties treated in this contribution are exemplified on a system extracted from nucleotide metabolism.
Visualization of Pelvic Floor Reflex and Voluntary Contractions
Authors: Constantinou Christos E.  , Korenblum Daniel  , Chen Bertha
Published: February 2025

Visualization of the geometric deformation and associated displacement patterns of tubular abdominal organs to mechanical stimuli provides a quantitative measure that is useful in modeling their elastic properties. The origin of the stimulus may be the result of direct and voluntary muscle contraction or in response to a triggered reflex activity. Using trans-perineal 2D ultrasound imaging we examined the characteristics of deformation and displacement of these organs in response to voluntary activity, contraction, straining, and fast reflex responses to stimuli such as coughing. The relative time sequence in movement was examined by serially segmenting the outline of these structures and mapping their temporal characteristics.
Virtual Reality System in Conjunction with Neurorobotics and Neuroprosthetics for Rehabilitation of Motor Disorders
Authors: De Mauro Alessandro  , Carrasco Eduardo  , Oyarzun David  , Ardanza Aitor  , Frizera Neto Anselmo  , Torricelli Diego  , Pons José Luis  , Gil Angel  , Florez Julian
Published: February 2025

Cerebrovascular accidents (CVA) and spinal cord injuries (SCI) are the most common causes of paralysis and paresis with reported prevalence of 12,000 cases per million and 800 cases per million, respectively. Disabilities that follow CVA (hemiplegia) or SCI (paraplegia, tetraplegia) severely impair motor functions (e.g., standing, walking, reaching and grasping) and prevent the affected individuals from healthy-like, full and autonomous participation in daily activities. Our researchThis research is part of the HYPER project funded by CONSOLIDER-INGENIO 2010, Spanish Ministry for Science and Innovation.
Development of a Customizable Software Application for Medical Imaging Analysis and Visualization
Authors: Martinez-Escobar Marisol  , Peloquin Catherine  , Juhnke Bethany  , Peddicord Joanna  , Jose Sonia  , Noon Christian  , Foo Jung Leng  , Winer Eliot
Published: February 2025

Graphics technology has extended medical imaging tools to the hands of surgeons and doctors, beyond the radiology suite. However, a common issue in most medical imaging software is the added complexity for non-radiologists. This paper presents the development of a unique software toolset that is highly customizable and targeted at the general physicians as well as the medical specialists. The core functionality includes features such as viewing medical images in two-and three-dimensional representations, clipping, tissue windowing, and coloring. Additional features can be loaded in the form of ‘plug-ins’ such as tumor segmentation, tissue deformation, and surgical planning. This allows the software to be lightweight and easy to use while still giving the user the flexibility of adding the necessary features, thus catering to a wide range of user population.
Usability Analysis of the Tele-nursing Call Management Software at HealthLink BC
Authors: Hall Simon A.S.  , Kushniruk Andre W.  , Borycki Elizabeth M.
Published: February 2025

Usability engineering methods have been shown to be effective in identifying software problems that may lead to user operating inefficiencies, user errors, data encoding errors or far more serious health threatening consequences. This research project applied two complementary usability engineering analysis methods to a mature tele-nursing clinical call management software platform (a knowledgebase and an EMR product). Findings from the study revealed 100 discrete usability errors or problems. This research also introduced an adaptation of cognitive task analysis, with the development of a ‘cognitive task screen-turn’ analysis, which provided useful information about operating differences among users performing identical tasks that was particularly useful in revealing four unnecessary steps within the system.
Mandatory Public Reporting: Build It and Who Will Come?
Authors: Bell Sigall  , Benneyan James  , Best Allan  , Birnbaum David  , Borycki Elizabeth M.  , Gallagher Thomas H.  , Goeschel Chris  , Jarvis Bill  , Kushniruk André W.  , Mazor Kathleen M.  , Pronovost Peter  , Sheps Sam
Published: February 2025

Rates of healthcare-associated infections (HAI) are being reported on an increasing number of public information websites in response to legislative mandates driven by consumer advocacy. This represents a new strategy to advance patient safety and quality of care by informing a broad audience about the relative performance of individual healthcare facilities. Unlike typical consumer health informatics products, the target audience and targeted health behaviors are less easily defined; further, the impact on providers to improve care is unknown relative to other incentives to improve. To address critical knowledge gaps facing all state agencies embarking on this new frontier, we found it essential and straightforward to recruit the assistance of university research faculty from a variety of disciplines. That interdisciplinary group was quickly able to define a 5-year applied evaluation research agenda spanning a progressive set of crucial questions.
Evaluation of Alert-based Monitoring in a Computerised Blood Transfusion Management System
Authors: Shabestari Omid  , Gooch Philip  , Goddard Kate  , Golchin Kamran  , Kay Jonathan  , Roudsari Abdul
Published: February 2025

Blood transfusion is a critical and multi-step process that can be lifesaving. At the same time, any mistakes can be life threatening. An electronic blood transfusion system has been designed to ensure the correctness and safety of the blood transfusion process. The standards for the system include notification mechanisms to inform system managers of any errors in the process. Analysis of system alerts has been used to evaluate the performance of the system. The majority of alerts were classified as ‘moderate’ in terms of risk (i.e. operational rather than affecting clinical safety) and tended to result from user error. The process of alert acknowledgement and resolution by the system administrator acted as a bottleneck whenever the alerts increased above 100 items per month. Although there was no statistically significant correlation between the number of alerts and the number of transfusions or number of the new users of the system, relatively similar patterns were observable in their charts. A major benefit is that the alerts automatically provided information that would not be captured in a manual transfusion process.
Impact Evaluation of Innovative Technology: Estimating the Impact of the PSIP Solutions
Authors: Ammenwerth Elske  , Hackl Werner O.  , Jensen Sanne  , Lawton Kitta  , Riedmann Daniel  , Jung Martin
Published: February 2025

Health informatics projects often develop innovative IT solutions for health care. Systematic evaluation of their impact and risks is an ethical imperative. However, field studies can often not be conducted because of immature solutions. On the other site, lab studies are not helpful when it comes to estimating the impact of an innovative IT solution. We faced this challenge within the PSIP projects where innovative tools for medication management are developed. In this paper, we present the approaches used within the PSIP project for estimating the impact of immature solutions, including surveys of future users, a Delphi study with experts, and a simulation study. The methodology and first results of those evaluations are presented, and lessons learnt for impact evaluation of immature solutions are discussed.
Validation of Completeness, Correctness, Relevance and Understandability of the PSIP CDSS for Medication Safety
Authors: Ammenwerth Elske  , Hackl Werner O.  , Massari Philippe  , Darmoni Stefan
Published: February 2025

Medication errors and resulting Adverse Drug Events (ADEs) are an important issue of global healthcare. Within the European PSIP project that aims at developing solutions to improve medication safety, contextualized decision support modules aiming to prevent ADEs are being developed. The objective of this work was to thoroughly validate part of the CDSS (Clinical Decision Support System) and the underlying Knowledge Base, in order to detect incorrect or unclear alerts. We systematically developed a repository of test cases and used them for validation. The development of the test cases showed that there are differences among experts in interpreting the correctness of an alert, and that the clinical context is important when judging whether it is adequate. Overall, validation did not find major errors in the Knoweldge Base, but developed several recommendations for further improvement.
User-oriented Assessment of Classification Model Understandability
Authors: Allahyari Hiva  , Lavesson Niklas
Published: February 2025

This paper reviews methods for evaluating and analyzing the understandability of classification models in the context of data mining. The motivation for this study is the fact that the majority of previous work on evaluation and optimization of classification models has focused on assessing or increasing the accuracy of the models and thus user-oriented properties such as comprehensibility and understandability have been largely overlooked. We conduct a quantitative survey to examine the concept of understandability from the user's point of view. The survey results are analyzed using the analytic hierarchy process (AHP) to rank models according to their understandability. The results indicate that decision tree models are perceived as more understandable than rule-based models. Using the survey results regarding understandability of a number of models in conjunction with quantitative measurements of the complexity of the models, we are able to establish a negative correlation between the complexity and understandability of the classification models, at least for one of the two studied data sets.
Trajectory Planning on Grids: Considering Speed Limit Constraints
Authors: Chrpa Lukáš
Published: February 2025

Trajectory (path) planning is a well known and thoroughly studied field of automated planning. It is usually used in computer games, robotics or autonomous agent simulations. Grids are often used for regular discretization of continuous space. Many methods exist for trajectory (path) planning on grids, we address the well known A* algorithm and the state-of-the-art Theta* algorithm. Theta* algorithm, as opposed to A*, provides ‘any-angle’ paths that look more realistic. In this paper, we provide an extension of both these algorithms to enable support for speed limit constraints. We experimentally evaluate and thoroughly discuss how the extensions affect the planning process showing reasonability and justification of our approach.
Two views on crossing dependencies, language, biology and satisfiability
Authors: Castaño José M.
Published: February 2025

We discuss two dichotomic views on crossing dependencies. This kind of phenomena is relevant both for natural language and biology as has been extensively argued. On one hand, we discuss an approach that looks for formalisms more powerful than context free grammars to capture the phenomena as a word recognition problem. On the other hand, we present an approach that deals with the same kind of problem, using finite state technology, but instead of treating the problem as a word recognition problem, it is solved using an automata construction approach. Unrestricted crossing dependencies are exemplified using the well known problem of propositional satisfiability.
How many possible languages are there?
Authors: Bortolussi Luca  , Sgarro Andrea  , Longobardi Giuseppe  , Guardiano Cristina
Published: February 2025

We adopt a description of natural languages in terms of strings of crosslinguistically variable syntactic features (parameters), complying with a specified hypothesis of “universal grammar”, and we deal with two problems: first, assessing the statistical significance of language distances calculated on the basis of such features and recently used to reconstruct phylogenetic trees; second, counting the minimal overall number of possible human languages, i.e. of strings satisfying the implicational rules which describe dependencies between parameters of the specified universal grammar. In order to accomplish these tasks, we had to develop a sampling algorithm capable of dealing correctly with such rules. The potential significance of these results for historical and theoretical linguistics is then briefly highlighted.
Cognitive architectures in multi-agent systems
Authors: Plewczynski Dariusz
Published: February 2025

We propose the basic computational framework, which can be used for modeling of hierarchical cognitive architectures. The system is build from at least two layers. The first is used as the semantic network for storing semiotic triads, i.e. objects, categories and symbols, which represent them. The network is constructed from an ensemble of machine learning, or clustering methods, each trained on a set of prototypes for a given category. Those semiotic triads are linked with weights representing the cognitive similarity between represented symbols. The number of symbols that can be stored in such network scales linearly with the number of stored datasets of prototypical objects, as it is assumed in symbol grounding paradigm. The second layer is the communication, or interaction network, which allow agents to communicate with each other, namely to speak about symbols and/or underlying objects (categories). Agent can pass an object (perceptual item), and its name to other agent, in order to modify the categorical system of the second agent, or to communicate the symbolic name for a given category. Both cognitive layers are simulated within Agent-Based Modeling (ABM) approach. Therefore, typical cognitive task can be implemented here as the dynamical process of equilibration for a set of semiotic networks in the population of interacting agents with language.
On Two Models in Bio-Inspired Computing: Membrane Systems and Networks of Evolutionary Processors
Authors: Csuhaj-Varjú Erzsébet
Published: February 2025

In this paper we present a brief overview on models, results and research directions in membrane computing, and discuss variants and properties of networks of evolutionary processors, a framework and research area in bio-inspired computing. We also propose some new directions and topics for future research.
An Evidence-based Toolset to Capture, Measure and Assess Emotional Health
Authors: Hill Edward  , Dumouchel Pierre  , Moehs Charles
Published: February 2025

We present: (1) an automated telephone check-in system to capture emotional health, based on automatic emotion classification, crowd-sourcing, and the experience sampling method; (2) a method that combines acoustic-based and perception-based emotion classifiers to maximize the likelihood of correctly identifying the emotion in a speech recording; (3) an evidence-based toolkit to measure and assess emotional health; and (4) the results of three experimental trials held in 2010 and 2011: (a) English speaking members of Alcoholics Anonymous, (b) English and French speaking general population, and (c) English speaking Opioid addicts undergoing Suboxone maintenance treatment. Emotional health can be defined as the ability to express emotions, identify one's own emotions, relate to other people's emotions, and to live life with predominantly positive emotions. Emotional health plays a major role in addiction treatment and Cognitive Behavioral Therapy (CBT).
Characterization of Shear Strength of Abandoned Dumpsite Soils, Orita-Nigeria
Authors: Osinubi Kolawole Juwonlo  , Bello Afeez Adefemi
Published: February 2025

The results of the laboratory investigation carried out on abandoned dumpsite soil in order to define the ranges of the water content and dry unit weight at which compacted test specimens would have adequate shear strength are presented. Test specimens were compacted with British Standard light energy over a range of water content namely −2, 0, 2 and 4% of optimum moisture contents. Specimens with dry unit weight of 16.6kN/m3prepared in the 13.9 – 18.1% moulding water content range recorded shear strength values equal to or greater than 200 kN/m2which is the minimum acceptable for materials to be used as hydraulic barriers in containment structures.
Selection of pavement foundation geomaterials for the construction of a new runway
Authors: Anochie-Boateng Joseph
Published: February 2025

The selection of foundation geomaterials including base/subbase unbound granular aggregate is critical for the design of flexible airfield pavements in the United States. These materials must meet the Federal Aviation Administration (FAA) selection criteria for airport pavement construction. A comprehensive testing study was conducted to select granular materials for the construction of a proposed runway North Carolina, United States. The objective was to evaluate granular materials and subgrade soils within the Greensboro area, to establish their pertinent engineering properties including strength and deformation parameters. This paper focused on three granular materials selected for the runway construction. The test results including grading, CBR, shear strength and resilient modulus indicated that all the three samples met the FAA selection criteria as base/subbase materials for the construction of the runway.
A Metaontology for Ontological Engineering: A Philosophers' Perspective
Authors: Garbacz Pawel  , Trypuz Robert
Published: February 2025

The paper defines a schema in which to describe applied ontologies of any kind. In contradistinction to the main trend in engineering metaontology the main ideas that support this schema are inspired by philosophy. Namely, we look at the domain of applied ontologies from the point of view of a certain metaphilosophical tradition. Nevertheless, the final result of our considerations is an engineering artefact, i.e., an OWL ontology. For the sake of validation we employ it to describe a few exemplary applied ontologies.
Query Inseparability and Module Extraction in OWL 2 QL
Authors: Zakharyaschev Michael
Published: February 2025

The OWL 2 QL profile of OWL, based on the DL family of description logics, is emerging as a major language for developing new ontologies and approximating existing ones. Its main application is ontology-based data access, where ontologies are used to provide background knowledge for answering queries over data. We give a survey of recent results on the computational complexity of checking query inseparability for OWL 2 QL ontologies and analyse the impact of various OWL 2 QL constructs in the context of query inseparability. We also discuss practical query inseparability checking and minimal module extraction algorithms, as well as experimental results.
Leakfinder: Infrared detection of leaks through the walls of deep underwater excavations – Progresses of an innovative detection method
Authors: Colard G.R.N.G.  , Langhorst O.S.  , Bolhuis R.
Published: February 2025

Leaks through the wall of a submerged excavation are more than often extremely difficult to detect and to pinpoint. The “Leak-finder” is an innovative detection method that provides an answer to this problem. The method is based upon the detection of infrared radiations. and uses the temperature difference between the water within the excavation pit and the water table. The necessary condition for this detection method is that the water has to flow from the outside to the inside of the excavation. This method has been developed within the scope of the new “North-south” metro junction in Amsterdam and successfully tested in the Netherlands, thereafter allowing the excavation to be safely dewatered.
Important Ingredients for Health Adaptive Information Systems
Authors: Senathirajah Yalini  , Bakken Suzanne
Published: February 2025

: Healthcare information systems frequently do not truly meet clinician needs, due to the complexity, variability, and rapid change in medical contexts. Recently the internet world has been transformed by approaches commonly termed ‘Web 2.0’. This paper proposes a Web 2.0 model for a healthcare adaptive architecture. The vision includes creating modular, user-composable systems which aim to make all necessary information from multiple internal and external sources available via a platform, for the user to use, arrange, recombine, author, and share at will, using rich interfaces where advisable. Clinicians can create a set of ‘widgets’ and ‘views’ which can transform data, reflect their domain knowledge and cater to their needs, using simple drag and drop interfaces without the intervention of programmers. We have built an example system, MedWISE, embodying the user-facing parts of the model. This approach to HIS is expected to have several advantages, including greater suitability to user needs (reflecting clinician rather than programmer concepts and priorities), incorporation of multiple information sources, agile reconfiguration to meet emerging situations and new treatment deployment, capture of user domain expertise and tacit knowledge, efficiencies due to workflow and human-computer interaction improvements, and greater user acceptance.
Making a Web Based Ulcer Record Work by Aligning Architecture, Legislation and Users - a Formative Evaluation Study
Authors: Ekeland Anne G.  , Skipenes Eva  , Nyheim Beate  , Christiansen Ellen K.
Published: February 2025

The University Hospital of North Norway selected a web-based ulcer record used in Denmark, available from mobile phones. Data was stored in a common database and easily accessible. According to Norwegian legislation, only employees of the organization that owns an IT system can access the system, and use of mobile units requires strong security solutions. The system had to be changed. The paper addresses interactions in order to make the system legal, and assesses regulations that followed. By addressing conflicting scripts and the contingent nature of knowledge, we conducted a formative evaluation aiming at improving the object being studied. Participatory observation in a one year process, minutes from meetings and information from participants, constitute the data material. In the technological domain, one database was replaced by four. In the health care delivery domain, easy access was replaced by a more complicated log on procedure, and in the domain of law and security, a clarification of risk levels was obtained, thereby allowing for access by mobile phones with today's authentication mechanisms. Flexibility concerning predefined scripts was important in all domains. Changes were made that improved the platform for further development of legitimate communication of patient data via mobile units. The study also shows the value of formative evaluations in innovations.
Cell Edge Detection in JPEG2000 Wavelet Domain – Analysis on Sigmoid Function Edge Model
Authors: Punys Vytenis  , Maknickas Ramunas
Published: February 2025

Big virtual microscopy images (80K x 60K pixels and larger) are usually stored using the JPEG2000 image compression scheme. Diagnostic quantification, based on image analysis, might be faster if performed on compressed data (approx. 20 times less the original amount), representing the coefficients of the wavelet transform. The analysis of possible edge detection without reverse wavelet transform is presented in the paper. Two edge detection methods, suitable for JPEG2000 bi-orthogonal wavelets, are proposed. The methods are adjusted according calculated parameters of sigmoid edge model. The results of model analysis indicate more suitable method for given bi-orthogonal wavelet.
Service Delivery for e-Health Applications
Authors: Staemmler Martin
Published: February 2025

E-Health applications have to take the business perspective into account. This is achieved by adding a fourth layer reflecting organizational and business processes to an existing three layer model for IT-system functionality and management. This approach is used for designing a state-wide e-Health service delivery allowing for distributed responsibilities: clinical organizations act on the fourth layer and have established mutual cooperation in this state-wide approach based on collectively outsourced IT-system services. As a result, no clinical organization can take a dominant role based on operating the IT-system infrastructure. The implementation relies on a central infrastructure with extended means to guarantee service delivery: (i) established redundancy within the system architecture, (ii) actively controlled network and application availability, (iii) automated routine performance tests fulfilling regulatory requirements and (iv) hub-to-spoke and end-to-end authentication. As a result, about half of the hospitals and some practices of the state have signed-up to the services and guarantee long-term sustainability by sharing the infrastructural costs. Collaboration takes place for more than 1000 patients per month based on second opinion, online consultation and proxy services for weekend and night shifts.
Information Provision for Adolescents with Cancer
Authors: Shillabeer Anna
Published: February 2025

Recent research has provided a detailed insight into what information cancer patients as a generic group require and we now understand that this requirement changes during the disease episode. This paper will focus on the information needs of adolescent cancer patients as little research has been done in this area and unlike every other group of cancer patients very little improvement in information provision and clinical outcomes for this small but important group of people has occurred over the past 20 years. Adolescents have specialised needs and have for too long been grouped either with young children or adults. This paper describes our current knowledge regarding their special needs and outlines future directions to facilitate equality in information provision for this group.
Reducing Clinicians' Cognitive Workload by System Redesign; a Pre-Post Think Aloud Usability Study
Authors: Peute L.W.P.  , De Keizer N.F.  , Van Der Zwan E.P.A.  , Jaspers M.W.M.
Published: February 2025

Interactive Health Information systems are often considered cognitively complex by their users, leading to high cognitive burden and increased workload. This paper explores if Think Aloud usability testing provides valuable input to effectively redesign a web-based Data Query Tool in Intensive Care and to reduce physicians' cognitive workload during system interaction. Pre and post redesign usability testing demonstrated a major reduction in the cognitive task workload after redesign of the tool. Classification of revealed usability problems by means of the User Action Framework pointed out that usability problems related to the cognitively planning of actions by system users foremost affected cognitive task workload. This result may support Health Information system (re)design efforts on how to tackle the system's cognitive complexity and in so doing improve on its usability.
ARGOS Policy Brief on Semantic Interoperability
Authors: Kalra Dipak  , Musen Mark  , Smith Barry  , Ceusters Werner  , De Moor Georges
Published: February 2025

Semantic interoperability is one of the priority themes of the ARGOS Trans-Atlantic Observatory. This topic represents a globally recognised challenge that must be addressed if electronic health records are to be shared among heterogeneous systems, and the information in them exploited to the maximum benefit of patients, professionals, health services, research, and industry. Progress in this multi-faceted challenge has been piecemeal, and valuable lessons have been learned, and approaches discovered, in Europe and in the US that can be shared and combined.
The Intergration of Sustainability Risk Into Airport Business and Management
Authors: Flouris Triant  , Yilmaz Ayse Kucuk
Published: February 2025

The main focus of this article is the holistic integration of sustainability risk methodologies into airport management and strategy via the enterprise risk management approach. Airport sustainability is a key business strategy and it presents organizational short term and long term benefits. Just like for other organizations, sustainability is a high risk factor for airports. Airport sustainability should be considered as a fundamental part of the overall risk management concept. The purpose of this article (theoretically) is to discuss the important role of sustainability practices to airport management and strategy. In this paper, cases from Turkey's airports are presented. Current practices are analyzed according to the sustainability criteria as economic, social and environmental. This article contributes to the management and strategy literature applied in the airport business.