bluuebunny/crossref_metadata_2025 huggingface dataset:
Generation of a Probabilistic Arterial Cerebrovascular Atlas Derived from 700 Time-of-Flight MRA Datasets
Authors: Forkert Nils Daniel  , Suniaga Santiago  , Fiehler Jens  , Wersching Heike  , Knecht Stefan  , Kemmling Andre
Published: February 2025

The cerebral vasculature is a complex vessel network with high variations among human subjects. Although the coarse structure and spatial relationships of the main cerebrovascular branches are well known, not much knowledge about inter-individual vessel variability of humans at a finer level is available. The aim of this work is to present a probabilistic atlas of cerebral arterial vascular structures derived from 700 Time-of-Flight (TOF) magnetic resonance angiography (MRA) datasets of healthy subjects. Therefore, the cerebrovascular system was automatically segmented in each TOF datasets. In a following step, each TOF dataset and corresponding segmentation was registered to the MNI brain atlas. The registered datasets were then used for generation of a probabilistic cerebrovascular atlas. The generated atlas was evaluated with respect to three possible applications. The results suggest that the atlas is especially helpful to obtain knowledge about the cerebrovascular anatomy and its variations in terms of vessel occurrence probability. Furthermore, it appears useful for initialization of automatic cerebrovascular segmentation methods while an application for detection of vessel pathologies seems only feasible for large malformations.
Measuring lexical similarity methods for textual mapping in nursing diagnoses in Spanish and SNOMED-CT
Authors: Cruanes Jorge  , Romá-Ferri M. Teresa  , Lloret Elena
Published: February 2025

One of the current problems in the health domain is the reuse and sharing the clinical information between different professionals, as they are written in natural language using specific terminologies. To overcome this issue it is necessary to use a common terminology, like SNOMED-CT, allowing an information reuse that offers the health professionals the quickest access to quality information. In order to use this terminology all the other terminologies have to be mapped to it. One solution to perform that mapping is using a lexical similarity approach. In this paper we analyze the appropriateness of 15 lexical similarity methods for mapping a set of NANDA-I labels to a set of SMOED-CT descriptions in Spanish. Our aim is to establish how to choose the best algorithm in this domain, from the recall and the precision point of view. After running six different tests, we have established that the three best algorithms where those that maximize the recall, because they always return the best solution.
Flexible Solution for Interoperable Cloud Healthcare Systems
Authors: Vida Mihaela Marcella  , Lupşe Oana Sorina  , Stoicu-Tivadar Lăcrămioara  , Bernad Elena
Published: February 2025

It is extremely important for the healthcare domain to have a standardized communication because will improve the quality of information and in the end the resulting benefits will improve the quality of patients' life. The standards proposed to be used are: HL7 CDA and CCD. For a better access to the medical data a solution based on cloud computing (CC) is investigated. CC is a technology that supports flexibility, seamless care, and reduced costs of the medical act. To ensure interoperability between healthcare information systems a solution creating a Web Custom Control is presented. The control shows the database tables and fields used to configure the two standards. This control will facilitate the work of the medical staff and hospital administrators, because they can configure the local system easily and prepare it for communication with other systems. The resulted information will have a higher quality and will provide knowledge that will support better patient management and diagnosis.
Usability Evaluation of a Guideline Implementation System for Cardiac Rehabilitation: Think Aloud Study
Authors: Van Engen-Verheul Mariëtte  , Peute Linda  , Kilsdonk Ellen  , Peek Niels  , Jaspers Monique
Published: February 2025

Guidelines on cardiac rehabilitation (CR) state that a patient-tailored, comprehensive CR programme should be constructed for each patient based on a structured needs assessment procedure. We performed a usability evaluation with seven end-users of the MediScore CARDSS 2.0 system which implements such a procedure based on the Dutch guidelines. The analysis showed that users deviated strongly from the predefined data entry order; could not complete all subtasks for a complete needs assessment procedure, and needed more navigation actions than minimally required. We conclude that the design model of systems which implement guidelines requiring data entry should adapt to users' mental model concerning data entry to guarantee complete data collection.
Standardised Representation of Healthcare Information in Secondary Care Research: A Central England Case Study
Authors: Lim Choi Keung Sarah N.  , Ogunsina Ire  , Rossiter James  , Langford Gavin  , Tyler Edward  , Arvanitis Theodoros N.
Published: February 2025

Interoperability and reuse of healthcare information, for patient care and clinical research, rely on standardised approaches in its representation. The medical domain is rich with terminologies and dictionaries to support the representation of clinical data, but these are not necessarily interoperable. Secondary care research has long been conducted with study-specific requirements, and the valuable information collected was, however, difficult to reuse and share due to incomplete data collection and its non-standard representation. As a way to resolve some of these issues, we are designing and building sustainable database applications that clinicians and researchers alike can use as research registries, with the main aim to have research-quality healthcare information for future research studies and trials. This paper looks at a case study of how these applications are being developed in Central England through the use of controlled vocabularies. Specialty teams are keen to improve the interoperability, sharing and reuse of health information within and across specialties.
Evicase: An Evidence-based Case Structuring Approach for Personalized Healthcare
Authors: Carmeli Boaz  , Casali Paolo  , Goldbraich Anna  , Goldsteen Abigail  , Kent Carmel  , Licitra Lisa  , Locatelli Paolo  , Restifo Nicola  , Rinott Ruty  , Sini Elena  , Torresani Michele  , Waks Zeev
Published: February 2025

The personalized medicine era stresses a growing need to combine evidence-based medicine with case based reasoning in order to improve the care process. To address this need we suggest a framework to generate multi-tiered statistical structures we call Evicases. Evicase integrates established medical evidence together with patient cases from the bedside. It then uses machine learning algorithms to produce statistical results and aggregators, weighted predictions, and appropriate recommendations. Designed as a stand-alone structure, Evicase can be used for a range of decision support applications including guideline adherence monitoring and personalized prognostic predictions.
Quality assessment of automatically extracted data from GPs' EPR
Authors: De Clercq Etienne  , Moreels Sarah  , Van Casteren Viviane  , Bossuyt Nathalie  , Goderis Geert  , Bartholomeeusen Stefaan
Published: February 2025

There are many secondary benefits to collecting routine primary care data, but we first need to understand some of the properties of this data. In this paper we describe the method used to assess the PPV and sensitivity of data extracted from Belgian GPs' EPR (diagnoses, drug prescriptions, referrals, and certain parameters), using data collected through an electronic questionnaire as a gold standard. We describe the results of the ResoPrim phase 2 project, which involved 4 software systems and 43 practices (10,307 patients). This method of assessment could also be applied to other research networks.
Automatic Generation of MedDRA terms Groupings using an Ontology
Authors: Declerck Gunnar  , Bousquet Cédric  , Jaulent Marie-Christine
Published: February 2025

In the context of PROTECT European project, we have developed an ontology of adverse drug reactions (OntoADR) based on the original MedDRA hierarchy and a query-based method to achieve automatic MedDRA terms groupings for improving pharmacovigilance signal detection. Those groupings were evaluated against standard handmade MedDRA groupings corresponding to first priority pharmacovigilance safety topics. Our results demonstrate that this automatic method allows catching most of the terms present in the reference groupings, and suggest that it could offer an important saving of time for the achievement of pharmacovigilance groupings. This paper describes the theoretical context of this work, the evaluation methodology, and presents the principal results.
The Role of Electronic Checklists – Case Study on MRI-Safety
Authors: Landmark Andreas  , Selnes May-Britt  , Larsen Elisabeth  , Svensli Astrid  , Solum Linda  , Brattheim Berit
Published: February 2025

Checklists can be used to improve and standardize safety critical processes and their communication. The introduction of potentially harmful medical technology and equipment has created additional requirements for the safe delivery of health care. We have studied the implementation of an electronic checklist to ensure the safety of patients scheduled for Magnetic Resonance Imaging examinations. Through a combination of observations and semi-structured interviews we investigated how health care workers in a Norwegian University hospital dealt with variations in checklist compliance, missing and lack of information. The checklist provided different functionality for the different users, ranging from a memory/attention support to a standardized form of communication on safety matters. However, the rigidity afforded by the electronic implementation, showed some serious drawbacks over the prior, simpler, paper-based versions.
EHR and Data Protection Issues in Italy
Authors: Virone Maria Gabriella
Published: February 2025

Technological progresses and the changed way to collect, access and use data are at the bottom of the European Commission proposal for a “General Data Protection Regulation” (25 January 2012). Implications of safeguarding privacy and harmonization of existing rules are extremely important also for national Health Systems. Mobility of patients and health professionals as well as cross-border healthcare connected with the increasing use of Information and Communication Technologies in Healthcare Services are modifying traditional medical approaches and applications. New tools, as Electronic Health Records, provide significant benefits as empowering health consumers and minimizing health costs. Anyway, EHRs have limits: for example, they should cause risks for individuals, professionals and institutions in terms of personal injuries and liabilities. In this scenario, it's evident that technical aspects (as health standards and interoperability) are as important as legal and regulatory privacy issues. Presently, mandatory acts on the protection of individuals with regard to the processing of health e-Data still missing at all levels. Italy is adopting binding and non-binding legal documents to tackle the problem. Are they enough?
Mobile Social Networking Health (MSNet-Health): Beyond the mHealth Frontier
Authors: Househ Mowafa
Published: February 2025

The purpose of this conceptual paper is to introduce the concept of Mobile Social Networking Healthcare (MSNet-Health). The paper defines MSNet-Health and provides a working scenario of MSNet-Health. The paper suggests various potential domain area applications for MSNet-Health, such as diabetes, antenatal education, smoking cessation, weight loss, and arthritis. Challenges and future research areas are also discussed.
Personal Health Records
Authors: Kensing Finn
Published: February 2025

The paper addresses the complex interplay between patients, healthcare professionals, and technology in relation to the treatment of chronic patients. It reflects on an ongoing interdisciplinary action research project striving to design and implement IT support for communication and collaboration in the distributed heterogeneous network of chronic patients and the healthcare professionals that take care of them. An interactive personal health record (PHR) has been designed as part of the project. As such it is part of a trend to find ways to include patients in their own care process. This has been motivated by expected health benefits for the patients as well as promises to lead to reduced costs for a burdened healthcare system.
On the Attitudes of GPs toward Novel Features of their next EPRs
Authors: Cabitza Federico
Published: February 2025

In this paper we report the findings from a CATI-based survey that involved a representative sample of General Practitioners in Italy. Respondents were asked about their use of ICT in keeping in touch with their patients; their adoption and actual use of their Electronic Patient Record (EPR); and, more importantly, their perception of usefulness of a series of novel functionalities that could enrich the next generation of EPR in general practice.
Nursing Informatics Competences still Challenging Nurse Educators
Authors: Rajalahti Elina  , Saranto Kaija
Published: February 2025

In recent years nursing documentation has been one of the most important development areas of nursing informatics (NI) in Finland. The purpose of this study is to describe the development of the nurse educators' competences in nursing documentation during a project called eNNI. The eNNI project (2008–2010) was a cooperative project by nurse educators and working life experts. The goal of the project was to implement the national documentation model and thereby improve operational processes at workplaces. The study includes pre- and post-test questioning of NI applications with a web-based questionnaire (n=136). The data were analyzed with distribution, cross-tabulations and average tests and descriptive statistic multivariate method. According to the results, the ICT skills of the nurse educators were good at the end of the project, and they had good information literacy competence. On the other hand, their advanced NI skills left room for improvement.
Set of Experience and Experiential Decisional DNA
Authors: Szczerbicki Edward  , Sanín Cesar  , Toro Carlos
Published: February 2025

This plenary presentation covers a short history of experience based knowledge structure and representation, its development, implementations, and recent research directions and efforts leading to the idea of smart eResearch tools enhancing capture, storage, usage, and sharing of energy related laboratory research
Discussion Support to Train Meta-cognitive Skill by Improving Internal Self-Conversation for Knowledge Co-creation Workshop
Authors: Seta Kazuhisa  , Cui Liang  , Ikeda Mitsuru  , Matsuda Noriyuki
Published: February 2025

We aim at developing a semester course to train thinking skills for 1st year bachelor students who just entered a university. Our goal in the educational program is to let learners perceive the isomorphism between thinking process for self-dialogue and one for discussion, and motivate them to learn the logical structure of self-dialogue through workshop and to acquire meta-cognition abilities through leading the discussion. We give knowledge co-creation task with a case that requires them to perform their meta-cognitive activities. In this paper, we will discuss the theoretical foundation and the design intention of a thinking skill development program. Then, we will report the implementation of the semester program and interesting analysis of the data collected.
Effect of Arrangement in Digitized Note on Short-Term Remembrance
Authors: Miuray Motoki  , Kudoz Ryo
Published: February 2025

Even though using typed text to memorize thoughts and ideas has become increasingly convenient, people still often use handwritten notes in daily life because it takes less time to write a note using a hand than to use a digital device that may not be immediately accessible. However, the size and position of drawings in handwritten notes tend to involve irregular and irrelevant organization, in particular, under limited time constraints. A poorly organized note decreases the understanding and memorizing of its contents because of low readability. To improve its readability, we propose digital notebook editing methods for rearranging data by using the characteristics of digital pen data. In this paper, we describe several fundamental functions to support the rearrangement of digital notebook, and categorize them by its automatism property. Through our experiment, we find that the proposed functions did not significantly improve short-term memorization; however, they did facilitate the creation of a well-organized note within a limited time.
Proposal of an Interactive Remote LecturingSystem with Complementary Features of Nonverbal Information
Authors: Kunimune Hisayoshi  , Niimura Masaaki
Published: February 2025

This paper proposes an interactive remote lecturing system. The proposed system has some features to complement nonverbal information, which are lost in remote lectures. The remote learners can see entire picture of the lecture room including the teacher, the blackboard, lecture slides, and so on with low definition video. They also can clip a part of the picture and get high definition clipped picture. The proposed system provides the teacher and the students the video of others’ faces depending on the situations of the lecture.
Impact of Migration Topologies on Performance of Teams of A-Teams
Authors: Jędrzejowicz Piotr  , Wierzbowska Izabela
Published: February 2025

The paper sums up the impact of two parameters defining the migration process, namely topology and frequency, in a systems with A-Teams working in parallel, in the architecture designed for solving difficult combinatorial optimization problems. A-Teams, belonging to the team of ATeams, cooperate through exchange of intermediary computation results. The process of forwarding a result from one A-Team to another is called the migration. Several known migration models have been compared. We propose and test also an original model of communication, called Randomized, with no predefined migration topology. In this case migrations take place not with a predefined frequency, but only after an A-Team has not improved its best current solution for some given time. The proposed migration model outperforms all the remaining ones under investigation.
MMDW: A Multi-dimensional and Multi-granular Schema for Data Warehousing
Authors: Iftikhar Nadeem
Published: February 2025

With the emergence of modern database technologies, the concept of multi-granular data warehousing, which stores data at multiple levels of granularity has become important. In order to store multigranular data, the existing data warehousing schemas, such as star and snowflake are unable to provide support, for the reason that they are designed to store data at a single level of granularity. In this paper, we present a multi-dimensional and multi-granular data warehousing schema (MMDW). MMDW is based on Relational OLAP (ROLAP) and uses a RDBMS to manage new and old (aggregated) data by means of an extended star schema. In contrast to traditional ROLAP, MMDW also allows pre-computation and storage of data at multiple levels of granularity. Furthermore, MMDW is evaluated based on a real world case study and results show that MMDW performs well in terms of aggregation query speed, aggregation query complexity as well as storage used and compares favorably with standard star schema.
Adaptive organization for cooperative systems
Authors: Abchiche-Mimouni Nadia
Published: February 2025

This paper presents an adaptive approach to deal with the problem of integrating several heterogeneous reasoning methods (RMs) in a single system. It’s based on three observations: (1) several RMs may be usable for solving the same problem, (2) there is no deterministic way to find the most adequate (RM) and (3) there no deterministic way to combine the RMs. Some heuristics can guide the problem-solving process in combining the RMs and if necessary, switching from one RM to another according to the context. The real problem is that the context depends on dynamic and unpredictable knowledge. An adaptive approach is implemented in a multi-agent system (MAS). The ways to combine the RMs are decided in a decentralized way according to cooperative knowledge embedded in the agents. A dynamic organization is possible thanks to a particular agent role: pivotal.
An Overview of Paraconsistent Artificial Neural Networks and Applications
Authors: Minoro Abe Jair  , Lopes Helder F.S.  , Nakamatsu Kazumi
Published: February 2025

In this work we present an overview of some studies made with Paraconsistent Artificial Neural Network – PANN and we discuss its potential applications. PANN is a new type of Artificial Neural Network – ANNs based on a new paraconsistent logics, namely Paraconsistent Annotated Evidential Logic Eτ, which is capable of manipulating concepts like impreciseness, inconsistency, and paracompleteness in a non-trivial manner.
Evolved artificial neural networks for controlling Topological Active Nets deformation and for medical image segmentation
Authors: Sierra Cristina V.  , Novo Jorge  , Santos José  , Penedo Manuel G.
Published: February 2025

A new segmentation method using deformable models was defined for medical image segmentation. As deformable model we used Topological Active Nets, model which integrates features of region-based and boundary-based segmentation techniques. The model deformation is controlled by an Artificial Neural Network (ANN) that learns how to move the nodes of the model based on their energy surrounding. The ANN is applied to each of the nodes and in different temporal steps until the final segmentation is reached. The ANN training is obtained by simulated evolution, using Differential Evolution to automatically obtain the ANN that provides the emergent segmentation. The methodology was adapted and tested in two different medical domains, that is, CT medical images and eye fundus images to demonstrate the potential of the segmentation technique.
Speed-up of a Knowledge-Based Clinical Diagnosis System using Reflexive Ontologies
Authors: Artetxe Arkaitz  , Sanchez Eider  , Toro Carlos  , Sanin Cesar  , Szczerbicki Edward  , Graña Manuel  , Posada Jorge
Published: February 2025

Most of the time expended during ontology processing is derived from query actions. Quasi-real time goals require new approaches towards time efficiency (e.g. an intensively consumed application that pulls knowledge from an ontology). Reflexive Ontologies are a recent approach that is intended to bridge some of the aforementioned time consumption issues.
Business process modelling and simulation using formal experience record
Authors: Kucharski Bartosz  , Szczerbicki Edward
Published: February 2025

Business process modelling and simulation can be a way to improve efficiency in any formal business process support system. In this paper we discuss the underlying concepts and possible approaches that combines formal knowledge representation through past experiences stored in Set of Experience Knowledge structure with one of the popular simulation platforms iGrafx 2011.
Resource Allocation Problems in Network Processors for the Future Internet
Authors: Kozik Andrzej  , Rudek Radosław  , Świątek Paweł  , Grzech Adam
Published: February 2025

The existing network devices are based on fully programmable network processors offering inter alia integrated traffic managers, packet processing and advanced flow-based bandwidth control. Their resources are sufficient to implement DiffServ and IntServ devices, in which schedulers on each output interface work with the same settings. However, the growing expectations to computer networks such as strict QoS requirement or content aware processing results in management of many simultaneous flows. In such approaches each output interface can be characterized with different service parameters, e.g. shaping or weighted queuing priorities. Nevertheless, the network processors have limitations in the number of possible settings of integrated schedulers. Therefore, their application to novel solutions for computer networks requires an efficient utilization of their available resources.
The Effects of a Second Language on the Distributed and Cooperative KJ Method in Text-shared Collaboration
Authors: Yuizono Takaya  , Yu Zeying
Published: February 2025

In the globalization age, a second language can play an important role in collaboration between different countries. Text-based communication is slower than voice-based communication, but the slowness could allow enough thinking time to lead to good collaboration. Some effects of a second language on a text-shared collaboration task were investigated, namely the distributed and cooperative KJ methods in which stickies are used for writing and sharing opinions. The collaboration task consists of three steps: inputting opinions, grouping opinions, and writing a conclusion. Thirty Chinese students took part in the experiments to investigate the effects. A group of three students carried out the collaboration task twice; one case used the Japanese language as a second language and the other case used the Chinese language as a native language. Those results were compared in terms of quantity and quality by means of a log data analysis, a questionnaire survey, and a writing satisfaction valuation as the final result. The results showed that (1) Chinese people using the Japanese language produced similar Chinese language usage result quantities and quality and (2) the ability to think about 80 percent of opinions in the Japanese language could be required to obtain those results. These results mean that text-based collaboration could be a useful tool for a collaborator using a second language.
Relationality Design and Relationality-oriented Systems Design
Authors: Shimohara Katsunori
Published: February 2025

Relationality-oriented system science introduced here is a new research field where we try to understand and grasp systems as substance in which humans, tangible and intangible artifacts are interdependent and function together. We have been conducting research on how to design relationality in complex systems composed of humans, tangible and intangible artifacts, by using evolutionary computation and network science as methodologies. This paper describes the research concept, methodologies of relationality design. As one of research on relationality, we propose a research framework for a social network system that elicits relationality from people’s daily life, grows relation-ality with self-propagation and self-proliferation mechanisms, and enables to promote, manage and operate reproduction of relationality.
Software Structure Standard Proposal
Authors: Yuasa Takamichi  , Hatakeyama Masaya  , Sugiyama Naoki  , Fujiwara Toshiya  , So Phalla  , Yoshida Kouji  , Yamada Kunihiro
Published: February 2025

In a design approach for improving software quality and development efficiency, we propose a software design technique consisting of three items — concise functional partitioning, an assessment based software structure, and the best technique selected and reasons for selection. Of these, the best technique selected and reasons for selection is the most important. We propose a core software structure standard that should be reviewed and determined early in software development.
Reference signal cancellation in passive radar using Volterra-Wiener class filter with dynamic structure
Authors: Biernacki Pawel
Published: February 2025

In this article the nonlinear Volterra-Wiener class orthogonal filter algorithm was considered as a candidate for effective reference signal elimination tool in the passive radar. The adaptive nonlinear orthogonal filter algorithms (with low-complexity and adaptive structures) were developed, and implemented within Matlab environment. The results of their testing with real-life data are comparable with the effects of the Decorelated NLMS filter algorithm employment.
Towards an Ontology Model for African Traditional Medicine
Authors: Angole Richard Okelo  , Jehopio Peter  , Maiga Gilbert  , Omoda-Onyait Godfrey
Published: February 2025

African traditional medicine as practiced by local herbalist generates a lot of knowledge that is not shared and widely used as effectively as that from conventional western medicine. Knowledge generated from conventional western medicine is structured unlike African traditional medicine whose knowledge is not structured. This paper presents the African Traditional Medicine Ontology (ATMO). ATMO is proposed as a model to create structure for knowledge generated by local herbalists and integrate it into western medicine. It extends an upper level ontology, the Basic formal Ontology. The ontology contains general concepts about traditional medicine knowledge and their use in human treatments. The ATMO aims at structuring the knowledge of African traditional medicine so that it can then be used together or in parallel with conventional western medicine for effective treatment of diseases.
MetaConcept: A Meta-ontology for Building Data and Knowledge Repositories
Authors: Bravo Germán
Published: February 2025

The construction of ontologies is a long and complicated process, even with the powerful tools that are available today. Based on experiences with ontologies in the domain of building construction, MetaConcept defines the structure of the ontology starting with the high-level domain concepts, i.e., the dimensions that define the structure of the concepts in the domain. Meta-Concept then proposes a meta-ontology to facilitate the development of knowledge repositories and establishes the corresponding development stages. Several implementation examples are presented, in particular KOC 2.0, a data repository for real-world experiences in building construction and its knowledge repository, which aims to support the teaching of the construction techniques in the field of Architecture.
A method for detecting tense errors in learner English
Authors: Nagata Ryo  , Sheinman Vera
Published: February 2025

Although tense errors are one major source of grammatical errors in learner English, there has been almost no work on their detection. Tense error detection seems extremely difficult considering that its determination greatly relies on intention and context. Despite the difficulties, this paper shows that tense error can be efficiently detected by exploiting a linguistic property of English verbs called stativity. Our proposed method predicts the stativity of the verbs and then detects tense errors based on the prediction. Experiments show that it achieves an F-measure of 0.571 and outperforms methods implemented for comparison.
Trust in communication and multiagent systems
Authors: Graña Manuel  , Agreda Adrian
Published: February 2025

We give a review of recent literature on the subject of trust in computational interactions between human and artificial autonomous agents, or between artificial autonomous agents. Trust is a central question in the development of an ethical approach to the design of multiagent autonomous systems, which must lead to safe and sound interactions, and the development of secure systems based on ethically sound behavior design. The topic treatment in the literature is extensive and from a multitude of points of view, therefore the presented review may be falling short in many regards. We have focused on two main axes to organize the references: computational models and applications.
Identification of alarming behaviour introduced by monitoring based in the integration of ontologies
Authors: Gómez A Héctor F  , Martínez Tomás Rafael  , Arias Tapia Susana
Published: February 2025

This article presents a system of monitoring alarming human behaviour based on the open possibilities by the integration of different ontologies and semantic buildings, in the ontology called OSU, in this case for this; it uses the definition of events, from the ones of minor level, until events interpreting high level of activities as interpreted by an expert. We worked in two scenarios and with two target-activities: during monitoring at home through sensors of movement situated in determined positions where can be done a follow-up on the evolution of the person that lives in this place; the target-activity to be identified is night wandering. The other scenario happen in one of the supermarket where is carried out a follow-up on a person, by means of video, consequently identifying the target-activity marauder. The results of the validation representing the applicability of OSU for modelling of generating events alarms.
Automated Deployment of Argumentation Protocols
Authors: Maghraby Ashwag  , Robertson Dave  , Grando Adela  , Rovatsos Michael
Published: February 2025

The objective of this paper is to try to fill the gap between: argumentation, electronic institutions and protocols by using a combination of automated synthesis and model checking methods. More precisely, this paper proposes a means of moving rapidly from argument specification to protocol implementation, using an extension of the Argument Interchange Format as the specification language and the Lightweight Coordination Calculus as an implementation language.
Some Facets of Argument Mining for Opinion Analysis
Authors: Garcia Villalba Maria Paz  , Saint-Dizier Patrick
Published: February 2025

In this paper, we present some foundational elements related to argument extraction in opinion texts with the objective to further analyse and synthetise user preferences and value systems as they emerge in such texts. We show that (1) within the context of opinionated expressions, a number of evaluative expressions with a ‘heavy’ semantic load receive an argumentative interpretation and (2) that the association of an evaluative expression with a discourse structure such as an elaboration, an illustration, or a reformulation must also be interpreted as an argument. We develop a conceptual semantics of these relations and show how they are analyzed using the Dislog programming language on the  platform, dedicated to discourse analysis.
Quantitative Assessment of Technology Impact on Aviation Fuel Efficiency
Authors: Nolte Peter  , Apffelstaedt Arno  , Gollnick Volker
Published: February 2025

In the effort to achieve carbon neutral growth on the path to a zero emission future in aviation IATA outlined its “Technology Roadmap for Environmentally Sustainable Aviation” (TERESA) initiative bringing together manufacturers, scientists, government agencies, infrastructure service providers and airlines. Under this initiative the German Aerospace Center (DLR) and the Aerospace System Design Laboratory (ASDL) of Georgia Tech conducted the screening, description, selection, modelling and assessment of appropriate technologies. Furthermore the application of the technologies into reference aircraft was on their particular mission was modelled. Following the aircraft manufacturers announcements to postpone all new developments until after 2020 the model's technology database is revised. Furthermore the scope of TERESA is expanded with a world eet forecast model. Therefore the model accounts for the e ects of CO2reduction potential via technology introduction on world eet level.
Bottom-Up and Top-Down Influences of Beliefs on Emotional Responses: Fear of Heights in a Virtual Environment
Authors: Mühlberger Andreas  , Neumann Roland  , Lozo Ljubica  , Müller Mathias  , Hettinger Marc
Published: February 2025

According to cognitive approaches in emotion research, emotions hinge on beliefs that can be true or false. We suggest that emotionally relevant beliefs can be influenced bottom-up e.g. by the depth cues of a virtual environment or top-down e.g. by reappraisal strategies. Our research question is if bottom-up and top-down processes influence the same belief structure or if different belief structures are responsible for bottom-up and top-down influences on emotions. To test these assumptions we exposed participants to a virtual environment that is able to elicit fear of heights and manipulated reappraisal for half of the participants. Moreover, we presented virtual scenes of heights in a monoscopic (less depth cues) and stereoscopic (more depth cues) mode in order to influence the confirmatory processes that are associated with beliefs. Subjective intensity of discomfort and the bending angle as a behavioural response were measured. We observed that although the depth cues and the reappraisal strategy were both effective in reducing the feeling of discomfort, reappraisal and the mode of presentation exert independent effects. Thus, beliefs that are triggered by bottom-up processes (depth cues) change emotions independent of the beliefs triggered by top-down processes (reappraisal).
Implicit Theory Manipulations Affecting Efficacy of a Smartphone Application Aiding Speech Therapy for Parkinson's Patients
Authors: Nolan Peter  , Hoskins Sherria  , Johnson Julia  , Powell Vaughan  , Chaudhuri K. Ray  , Eglin Roger
Published: February 2025

A Smartphone speech-therapy application (STA) is being developed, intended for people with Parkinson's disease (PD) with reduced implicit volume cues. The STA offers visual volume feedback, addressing diminished auditory cues. Users are typically older adults, less familiar with new technology. Domain-specific implicit theories (ITs) have been shown to result in mastery or helpless behaviors. Studies manipulating participants' implicit theories of ‘technology’ (Study One), and ‘ability to affect one's voice’ (Study Two), were coordinated with iterative STA test-stages, using patients with PD with prior speech-therapist referrals. Across studies, findings suggest it is possible to manipulate patients' ITs related to engaging with a Smartphone STA. This potentially impacts initial application approach and overall effort using a technology-based therapy.
Pulse Oximeter Based Mobile Biotelemetry Application
Authors: Işik Ali Hakan  , Güler İnan
Published: February 2025

Quality and features of tele-homecare are improved by information and communication technologies. In this context, a pulse oximeter-based mobile biotelemetry application is developed. With this application, patients can measure own oxygen saturation and heart rate through Bluetooth pulse oximeter at home. Bluetooth virtual serial port protocol is used to send the test results from pulse oximeter to the smart phone. These data are converted into XML type and transmitted to remote web server database via smart phone. In transmission of data, GPRS, WLAN or 3G can be used. The rule based algorithm is used in the decision making process. By default, the threshold value of oxygen saturation is 80; the heart rate threshold values are 40 and 150 respectively. If the patient's heart rate is out of the threshold values or the oxygen saturation is below the threshold value, an emergency SMS is sent to the doctor. By this way, the directing of an ambulance to the patient can be performed by doctor. The doctor for different patients can change these threshold values. The conversion of the result of the evaluated data to SMS XML template is done on the web server. Another important component of the application is web-based monitoring of pulse oximeter data. The web page provides access to of all patient data, so the doctors can follow their patients and send e-mail related to the evaluation of the disease. In addition, patients can follow own data on this page. Eight patients have become part of the procedure. It is believed that developed application will facilitate pulse oximeter-based measurement from anywhere and at anytime.
Socially Anxious People Reveal More Personal Information with Virtual Counselors That Talk about Themselves using Intimate Human Back Stories
Authors: Kang Sin-Hwa  , Gratch Jonathan
Published: February 2025

In this paper, we describe our findings from research designed to explore the effect of virtual human counselors' self-disclosure using intimate human back stories on real human clients' social responses in psychological counseling sessions. To investigate this subject, we designed an experiment involving two conditions of the counselors' self-disclosure: human back stories and computer back stories. We then measured socially anxious users' verbal self-disclosure. The results demonstrated that highly anxious users revealed personal information more than less anxious users when they interacted with virtual counselors who disclosed intimate information about themselves using human back stories. Furthermore, we found that greater inclination toward facilitated self-disclosure from highly anxious users following interaction with virtual counselors who employed human back stories rather than computer back stories. In addition, a further analysis of socially anxious users' feelings of rapport demonstrated that virtual counselors elicited more rapport with highly anxious users than less anxious users when interacting with counselors who employed human back stories. This outcome was not found in the users' interactions with counselors who employed computer back stories.
GameTeen: New Tools for Evaluating and Training Emotional Regulation Strategies
Authors: Rodríguez Alejandro  , Rey Beatriz  , Alcañiz Mariano  , Baños Rosa  , Guixeres Jaime  , Wrzesien Maja  , Gómez Mario  , Pérez David  , Rasal Paloma  , Parra Elena
Published: February 2025

The aim of this paper is to describe GameTeen, a novel instrument for the assessment and training of Emotional Regulation (ER) strategies in adolescent population. These new tools are based on the use of 3D serious games that can be played under different settings. The evolution of ER strategies will be monitored in two ways depending on the setting where the tool is presented. Firstly, in the laboratory, physiological signals and facial expressions of participants will be recorded. Secondly, in real life settings, ecological momentary assessment tools will be used to obtain answers from the subjects using their mobile phone. The goal is to obtain more attractive and reliable tools to evaluate and train ER strategies.
Mobilizing Bystanders of Cyberbullying: an Exploratory Study into Behavioural Determinants of Defending the Victim
Authors: Desmet Ann  , Bastiaensens Sara  , Van Cleemput Katrien  , Poels Karolien  , Vandebosch Heidi  , De Bourdeaudhuij Ilse
Published: February 2025

This study explores behavioural determinants of defending behaviour in cyberbullying incidents. Three focus groups were conducted with youngsters aged 12–16y. Major themes that were found as important behavioural determinants to defend the victim were a low moral disengagement, that the victim is an in-group member and that the bystander is popular. Bystanders preferred to handle cyberbullying offline and in person, and comforting the victim was considered more feasible than facing the bully. With a high peer acceptance of passive bystanding and lack of parental support for defending behaviour, youngsters do not receive much encouragement from their environment to exhibit defending behaviour towards victims. These preliminary results suggest befriending and peer support interventions hold promise, as well as environmental interventions with parents and teachers. These first results will need to be confirmed in more in-depth analyses and in quantitative research.
Principle of Documents for Systems Design – Part 2: Sequential Case
Authors: Koono Zenya  , Chen Hui
Published: February 2025

This paper reports on design of sequential software, which is one level higher than usual non-sequential software. The technical principle is a Finite State Machine model, while the humanistic principle is “Human intentional activity” based on natural language. The structure is a hierarchically expanding network of small FSM's, each of which has around three states, driven by an event driven OS. It features easy design, small software, high quality and short development period.
Towards Model-Based Testing Patterns for Enhancing Agile Methodologies
Authors: Jalalinasab Darioush  , Ramsin Raman
Published: February 2025

Quality is one of the most important issues in the context of agile and lightweight methodologies. These methodologies recommend automated testing as the main method for quality assurance; however, they are plagued with several deficiencies in this regard, including complex and difficult-to-maintain test case scripts. Model-based testing is an approach for automating the test creation process through replacing individual test-case design with abstract models. In this paper, we explore a set of patterns based on current methods used in model-based testing which can be used to ameliorate the abovementioned deficiencies in agile/lightweight methodologies. We then demonstrate how these patterns can be applied to a concrete agile methodology – namely Feature Driven Development – to address problematic testing issues while maintaining the agility of the process.
Lithuanian-Latvian-Lithuanian Parallel Corpus
Authors: Utka Andrius  , Levāne-Petrova Kristīne  , Bielinskienė Agnė  , Kovalevskaitė Jolanta  , Rimkutė Erika  , Vēvere Daira
Published: February 2025

The goal of the paper is to present different problems related to the building of Parallel Corpus for two small languages, namely, Latvian and Lithuanian. The Lithuanian-Latvian-Lithuania Parallel Corpus (LILA) will contain 8 million running words; will be bidirectional, aligned on the sentence level. The problems include identifying, acquiring, preparing, and aligning parallel texts.
Strategic Importance of Language Technology in Estonia
Authors: Vider Kadri  , Liin Krista  , Kahusk Neeme
Published: February 2025

This paper gives an overview of the strategies and national programmes related to the development of language technology in Estonia. It also describes briefly the international initiatives aiming to build infrastructures for gathering and sharing language resources that Estonian linguists and language technology researchers participate in.
Quantitative and qualitative approaches for stock movement prediction
Authors: Petchamé Jordi  , Nebot Àngela  , Alquézar René
Published: February 2025

Knowing about future values and trend of stock market has attracted a lot of attention by researchers, investors, financial experts and brokers. The benefits of having a good estimation of the stock market behavior are well-known, minimizing the risk of the investment and maximizing the profits. In recent years, mathematical and computational models from artificial intelligence have been used for such purpose. This research studies quantitative and qualitative modeling approaches to forecast four indices of the Indian stock market. As quantitative methodologies we use time delay feed forward neural networks, auto regressive integrated moving average and their combination. As a qualitative counterpart we use the fuzzy inductive reasoning methodology. 10-fold cross validation has been used to evaluate the generalization capacity of each predictive model developed. The best results are obtained with the time delay feed forward neural networks models and the worst with the fuzzy inductive reasoning models. No significant enhancement is obtained with the approaches proposed when compared with the simple random walk method.
Towards the formalization of re-identification for some data masking methods
Authors: Torra Vicenç
Published: February 2025

Re-identification methods are in common use in data privacy for disclosure risk assessment. Record linkage is one of these re-identification methods. Given two data files, record linkage establishes links between records that correspond to the same individual but are found in the two different files. In this paper we review our definition of re-identification, which is based on belief functions. The use of these functions permits us to model in an appropriate way the uncertainty inherent in the re-identification process. Then, we discuss record linkage for data masked using approaches that ensure k-anonymity, and for data masked using rank swapping p-bucket.