bluuebunny/crossref_metadata_2025 huggingface dataset:
SNOMED CT in Pathology
Authors: García-Rojo Marcial  , Daniel Christel  , Laurinavicius Arvydas
Published: February 2025

Pathology information systems have been using SNOMED II for many years, and in most cases, they are in a migration process to SNOMED CT. COST Action IC0604 (EURO-TELEPATH) has considered terminology normalization one of its strategic objectives. This paper reviews the use of SNOMED CT in healthcare, with a special focus in pathology. Nowadays, SNOMED CT is mainly used for concept search and coding of clinical data. Some ontological errors found in SNOMED CT are described. The Integrating the Healthcare Enterprise (IHE) initiative has fostered the use of SNOMED CT, also in Pathology, as recommended in the Supplement Anatomic Pathology Structured Reports of the IHE Anatomic Pathology Technical Framework. Rule governing concept post-coordination is also described. Some recent initiatives are trying to define a SNOMED CT subset for Pathology. The Spanish Society of Pathology has defined a subset for specimens and procedures in Pathology. Regarding diagnosis coding, the morphological abnormality sub-hierarchy of SNOMED CT need to be significantly extended and improved to become useful for pathologists. A consensus is needed to encode pathology reports with the adequate hierarchies and concepts. This will make the implementation of pathology structured reports more feasible.
Emerging Trends: Grid Technology in Pathology
Authors: Bueno Gloria  , García-Rojo Marcial  , Déniz Oscar  , Fernández-Carrobles María del Milagro  , Vállez Noelia  , Salido Jesús  , García-González Jesús
Published: February 2025

Grid technology has enabled clustering and access to, and interaction among, a wide variety of geographically distributed resources such as supercomputers, storage systems, data sources, instruments as well as special devices and services, realizing network-centric operations. Their main applications include large scale computational and data intensive problems in science and engineering. Grids are likely to have a deep impact on health related applications. Moreover, they seem to be suitable for tissue-based diagnosis. They offer a powerful tool to deal with current challenges in many biomedical domains involving complex anatomical and physiological modeling of structures from images or large image databases assembling and analysis. This chapter analyzes the general structures and functions of a Grid environment implemented for tissue-based diagnosis on digital images. Moreover, it presents a Grid middleware implemented by the authors for diagnostic pathology applications. The chapter is a review of the work done as part of the European COST project EUROTELEPATH.
The COST Action IC0604 “Telepathology Network in Europe” (EURO-TELEPATH)
Authors: García-Rojo Marcial  , Gonçalves Luís  , Blobel Bernd
Published: February 2025

The COST Action IC0604 “Telepathology Network in Europe” (EURO-TELEPATH) is a European COST Action that has been running from 2007 to 2011. COST Actions are funded by the COST (European Cooperation in the field of Scientific and Technical Research) Agency, supported by the Seventh Framework Programme for Research and Technological Development (FP7), of the European Union. EURO-TELEPATH's main objectives were evaluating and validating the common technological framework and communication standards required to access, transmit and manage digital medical records by pathologists and other medical professionals in a networked environment. The project was organized in four working groups. orking Group 1 “Business modeling in pathology” has designed main pathology processes – Frozen Study, Formalin Fixed Specimen Study, Telepathology, Cytology, and Autopsy –using Business Process Modeling Notation (BPMN). orking Group 2 “Informatics standards in pathology” has been dedicated to promoting the development and application of informatics standards in pathology, collaborating with Integrating the Healthcare Enterprise (IHE), Digital Imaging and Communications in Medicine (DICOM), Health Level Seven (HL7), and other standardization bodies. Working Group 3 “Images: Analysis, Processing, Retrieval and Management” worked on the use of virtual or digital slides that are fostering the use of image processing and analysis in pathology not only for research purposes, but also in daily practice. Working Group 4 “Technology and Automation in Pathology” was focused on studying the adequacy of current existing technical solutions, including, e.g., the quality of images obtained by slide scanners, or the efficiency of image analysis applications. Major outcome of this action are the collaboration with international health informatics standardization bodies to foster the development of standards for digital pathology, offering a new approach for workflow analysis, based in business process modeling. Health terminology standardization research has become a topic of high interest. Future research work should focus on standardization of automatic image analysis and tissue microarrays imaging.
Toward a Framework for Personalized Web-based Training for Healthcare Providers in Low-Income Countries
Authors: Richardson Sandra M.
Published: February 2025

Cancer is a leading cause of death globally. It is estimated that 80% of cancer deaths now occur in resource-poor, low-income countries. Education is at the center of distributing cutting-edge cancer treatment and prevention techniques to healthcare providers in resource-poor communities. For over a decade, web-based education systems have been developed to facilitate access to educational materials for healthcare providers worldwide. Over the past two decades, commercial organizations, such as Amazon and Dell, have developed sophisticated content personalization techniques for web-based systems that automatically construct both the content and user interface to meet the needs of each individual user. This paper explores the personalization techniques developed by commercial organizations and applies them to the development of propositions for the creation of personalized content on web-based education systems aimed at healthcare providers in low-income countries.
Cancer-related Knowledge, Attitudes, and Risk Perception Among 6
Authors: Shihab R.A  , Obeidat N.A  , Bader R.K  , Shtaiwi A.  , Ayub A.  , Hawari F.I
Published: February 2025

Elementary schools in Jordan have included health education material in curricula to promote healthy lifestyles among younger school children. However, the relation between healthy lifestyles and the prevention of chronic diseases such as cancer has not been an explicit component in school curricula of younger age groups. We sought to explore the level of knowledge among 6th grade students as well as their attitudes with respect to cancer. This comes as part of a pilot project to develop an educational series on cancer prevention that aims to meet knowledge gaps specific to the community of students in this age group in Jordan.
Yummy Tricks: A Serious Game for Learning Healthy Eating Habits
Authors: Inglés-Camats Gerard  , Presno-Rivas Maria Montserrat  , Antonijoan Marc  , Garcia-Panella Oscar  , Forrest Tallulah
Published: February 2025

Cure4Kids organized the first Global eHealth Challenge in 2010. This contest encouraged the creation of innovative multimedia applications to help educate children or parents about cancer and healthy living. Here, we describe one of the applications submitted to this contest. The presented application was designed to be a serious game containing several mini-games intended to teach healthy eating habits. Each mini-game involves learning a “trick” or a lesson. Two mini-games have been developed so far, but the application can be extended with more. Several design decisions helped make the games enjoyable and appealing to children. This application won the gold award of the Challenge.
A Verification Method of the Correctness of Requirements Ontology
Authors: Huy Bui Quang  , Ohnishi Atsushi
Published: February 2025

In a requirements elicitation using ontology, the quality of elicited requirements fully depends on the quality of requirements ontology. In this paper, a verification method of the correctness of requirements ontology is proposed in order to improve the quality of requirements ontology. We provide a rule description language to specify properties that requirements ontology should satisfy. Then, by checking whether the rules are consistent with requirements ontology, we verify the correctness of the ontology. Both the verification method and a prototype system based on the method will be illustrated with examples.
Evaluation of a representation system of quality indicators
Authors: Takaki Osamu  , Izumi Noriaki  , Murata Koichiro  , Ikeda Mitsuru  , Hasida Koiti
Published: February 2025

A quality indicator is a measure of medical service quality. To develop quality indicators that are useful in fair comparison of medical service quality in multiple hospitals, it is helpful to develop them in a proper representation framework. The authors introduce a representation system of quality indicators and show the usefulness of the system by using existing quality indicators. To this end, they organize problems of development of quality indicators from the viewpoint of knowledge science, and analyze expression patterns of assessment criteria of medical services. This paper shows that the representation system has a certain amount of ability to address the problems above, and sufficient power of expression to describe assessment criteria including quality indicators in the patterns above.
Confidence: Ubiquitous Care System to Support Independent Living
Authors: Luštrek Mitja  , Kaluža Boštjan  , Cvetković Božidara  , Dovgan Erik  , Gjoreski Hristijan  , Mirchevska Violeta  , Gams Matjaž
Published: February 2025

The Confidence system aims at helping the elderly stay independent longer by detecting falls and unusual movement which may indicate a health problem. The system uses location sensors and wearable tags to determine the coordinates of the user's body parts, and an accelerometer to detect fall impact and movement. Machine learning is combined with domain knowledge in the form of rules to recognize the user's activity. The fall detection employs a similar combination of machine learning and domain knowledge. It was tested on five atypical falls and events that can be easily mistaken for a fall. We show in the paper and demo that neither sensor type can correctly recognize all of these events on its own, but the combination of both sensor types yields highly accurate fall detection. In addition, the detection of unusual movement can observe both the user's micro-movement and macro-movement. This makes it possible for the Confidence system to detect most types of threats to the user's health and well-being manifesting in his/her movement.
Process Discovery via Precedence Constraints
Authors: Greco Gianluigi  , Guzzo Antonella  , Pontieri Luigi
Published: February 2025

A key task in process mining consists of building a graph of causal dependencies over process activities, which can then be used to derive more expressive models in some high-level modeling language. An approach to accomplish this task is presented where the learning process can exploit the background knowledge that, in many cases, is available to the analysts taking care of the process (re-)design. The method is based on encoding the information gathered from the log and the (possibly) given background knowledge in terms of precedence constraints, i.e., constraints over the topology of the graphs. Learning algorithms are eventually formulated in terms of reasoning problems over precedence constraints, and the computational complexity of such problems is thoroughly analyzed by tracing their tractability frontier. The whole approach has been implemented in a prototype system leveraging a solid constraint programming platform, and results of experimental activity are reported.
Hard and Easy k-Typed Compact Coalitional Games: The Knowledge of Player Types Marks the Boundary
Authors: Greco Gianluigi  , Malizia Enrico  , Scarcello Francesco  , Palopoli Luigi
Published: February 2025

Coalitional games model scenarios where rational agents can form coalitions so as to obtain higher worths than by acting in isolation. Once a coalition forms and obtains its worth, the problem of how this worth can be fairly distributed has to be faced. Desirable worth distributions are usually referred to as solution concepts. Recent research pointed out that, while reasoning problems involving such solution concepts are hard in general for games specified in compact form (e.g., graph games), some of them, in particular the core, become tractable when agents come partitioned into a fixed number k of types, i.e., of classes of strategically equivalent players. The paper continues along this line of research, by firstly showing that two other relevant solution concepts, the kernel and the nucleolus, are tractable in this setting and independently of the specific game encoding, provided worth functions are given as a polynomial-time computable oracles. Then, it analyzes a different setting where games are still k-typed but the actual player partitioning is not a-priori known. Within this latter setting, the paper addresses the question about how efficiently strategic equivalence between pairs of players can be recognized, and reconsiders the computational complexity of the core, the kernel, and the nucleolus. All such problems and notions emerged to be intractable, thereby evidencing that the knowledge of player types marks the boundary of tractability for reasoning about k-typed coalitional games.
Towards a Complete Classical Music Companion
Authors: Arzt Andreas  , Widmer Gerhard  , Böck Sebastian  , Sonnleitner Reinhard  , Frostel Harald
Published: February 2025

We present a system that listens to music on-line and almost instantly identifies the piece the performers are playing and the exact position in the musical score. This is achieved via a combination of a state-of-the-art audio-to-note transcription algorithm and a novel symbolic fingerprinting method. The speed and precision of the system are evaluated in systematic experiments with a large corpus of classical music recordings. The results indicate extremely fast and accurate recognition performance — a level of performance, in fact, that even human experts in classical music will find hard to match.
Logic-based Benders Decomposition for Alternative Resource Scheduling with Sequence Dependent Setups
Authors: Tran Tony T.  , Beck J. Christopher
Published: February 2025

We study an unrelated parallel machines scheduling problem with sequence and machine dependent setup times. A logic-based Benders decomposition approach is proposed to minimize the makespan. This approach is a hybrid model that makes use of a mixed integer programming master problem and a specialized solver for travelling salesman subproblems. The master problem is used to assign jobs to machines while the subproblems obtain optimal schedules on each machine given the master problem assignments. Computational results show that the Benders model is able to find optimal solutions up to six orders of magnitude faster as well as solving problems six times the size previously possible with a mixed integer programming model in the literature and twice the size that a branchand-bound algorithm can solve for similar problems. We further relax the Benders decomposition to accept suboptimal schedules and demonstrate the ability to parameterize solution quality while out-performing state-of-the-art metaheuristics both in terms of solution quality and mean run-time.
Joint Assessment and Restoration of Power Systems
Authors: Van Hentenryck Pascal  , Gillani Nabeel  , Coffrin Carleton
Published: February 2025

This paper studies the joint damage assessment and recovery of the power infrastructure after a natural disaster has occurred. Earlier work in this area proposed an optimization algorithm for the recovery phase, assuming that the infrastructure damage was known precisely. This paper lifts this assumption which does not always hold in practice. It proposes three approaches to this problem: An online stochastic optimization algorithm, a 2-stage algorithm that first evaluates the damage and then perform restoration, and a hybridization of both approaches. Each of these approaches use information produced by weather and fragility simulation tools that provide potential damage scenarios for the disaster. Experimental results on natural disaster scenarios for the US infrastructure indicate that online stochastic combinatorial optimization provides high-quality solutions to the joint damage assessment and recovery problem.
Reasoning for Agreement Technologies
Authors: Boella Guido  , van der Torre Leendert
Published: February 2025

We present a logical viewpoint on agreement technologies by combining reasoning methods for aggregation, norms, dependence, argumentation, and trust. Starting from the agreement technologies tower, we introduce an architecture for the agreement process with interacting reasoning processes. We discuss the input/output perspective on reasoning for agreement technologies, the combination of reasoning methods, the role of abstraction, and game theoretic foundations.
Controlling Candidate-Sequential Elections
Authors: Hemaspaandra Edith  , Hemaspaandra Lane A.  , Rothe Jörg
Published: February 2025

All previous work on “candidate-control” manipulation of elections has been in the model of full-information, simultaneous voting. This is a problem, since in quite a few real-world settings— from TV singing/dancing talent shows to university faculty-hiring processes—candidates are introduced, and appraised by the voters, in sequence. We provide a natural model for sequential candidate evaluation, a framework for evaluating the computational complexity of controlling the outcome within that framework, and some initial results on the range such complexity can take on. We hope our work will lead to further examination of temporally involved candidate control.
Predicting the Power Output of Distributed Renewable Energy Resources within a Broad Geographical Region
Authors: Panagopoulos Athanasios Aris  , Chalkiadakis Georgios  , Koutroulis Eftichios
Published: February 2025

In recent years, estimating the power output of inherently intermittent and potentially distributed renewable energy sources has become a major scientific and societal concern. In this paper, we provide an algorithmic framework, along with an interactive web-based tool, to enable short-to-middle term forecasts of photovoltaic (PV) systems and wind generators output. Importantly, we propose a generic PV output estimation method, the backbone of which is a solar irradiance approximation model that incorporates free-to-use, readily available meteorological data coming from online weather stations. The model utilizes non-linear approximation components for turning cloud-coverage into radiation forecasts, such as an MLP neural network with one hidden layer. We present a thorough evaluation of the proposed techniques, and show that they can be successfully employed within a broad geographical region (the Mediterranean belt) and come with specific performance guarantees. Crucially, our methods do not rely on complex and expensive weather models and data, and our web-based tool can be of immediate use to the community as a simulation data acquisition platform.
A Literature Overview and Comparison of Driving Impairing Condition Assessment Approaches by Health Enabling Technologies
Authors: Reichwaldt Nina  , Maslak Susanne  , Wolf Klaus-Hendrik  , Haux Reinhold
Published: February 2025

Due to demographic change, more elderly people have the need to preserve and support mobility by car despite age-related functional limitations. Since accidents by the elderly are primarily caused by age related limitations, and not by careless or irresponsible behavior, it may be beneficial to detect driving impairing conditions. The presented review gives an overview of technologies to detect driving impairing conditions like drowsiness and stress or excessive demand. A comparison of the approaches to detect these conditions suggests that a combination of approaches is the most feasible method. However, there are still few systems that focus on the elderly.
Medical Students and e-Health
Authors: Hercigonja-Szekeres Mira  , Ilakovac Vesna  , Šolić Krešimir
Published: February 2025

The term eHealth is widely used in both scientific literature and in everyday life. There are many activities related to eHealth both globally and in Europe. In Croatia, eHealth is a priority area of the eCroatia programme. There is no doubt that eHealth is the environment where present and prospective medical students will work after leaving medical schools. In order to find out what medical students think eHealth is and which information about eHealth reach them, we started this project with second year medical students in academic year 2010/2011. At the very beginning of medical informatics course, students were asked to write an essay with the title “eHealth” based on their existing knowledge and experiences on this topic. Till now 147 written contributions were analyzed. We performed lexicometric analysis and correspondence analysis using French software Dtm-Vic for textual analysis. Very modest vocabulary and choice of words imply that students have little personal experience and knowledge about eHealth. Students who had medical secondary school education described eHealth differently, probably because they encounter some of eHealth applications while attending lectures in health care institutions.
Developing an eLearning Tool Formalizing in YAWL the Guidelines Used in a Transfusion Medicine Service
Authors: Russo Paola  , Piazza Miriam  , Leonardi Giorgio  , Roncoroni Layla  , Russo Carlo  , Spadaro Salvatore  , Quaglini Silvana
Published: February 2025

The blood transfusion is a complex activity subject to a high risk of eventually fatal errors. The development and application of computer-based systems could help reducing the error rate, playing a fundamental role in the improvement of the quality of care. This poster presents an under development eLearning tool formalizing the guidelines of the transfusion process. This system, implemented in YAWL (Yet Another Workflow Language), will be used to train the personnel in order to improve the efficiency of care and to reduce errors.
Decision Support System Based Semantic Web for Personalized Patient Care
Authors: Douali Nassim  , De Roo Jos  , Jaulent Marie-Christine
Published: February 2025

Personalized medicine may be considered an extension of traditional approaches to understanding and treating diseases, but with greater precision. A profile of a patient's genetic variation can guide the selection of drugs or treatment protocols that minimize harmful side effects or ensure a more successful outcome. In this paper we describe a decision support system designed to assist physicians for personalized care, and methodology for integration in the clinical workflow. A reasoning method for interacting heterogeneous knowledge and data is a necessity in the context of personalized medicine. Development of clinical decision support based semantic web for personalized patient care is to achieve its potential and improve the quality, safety and efficiency of healthcare.
Improving quality of life through eHealth – the patient perspective
Authors: Koch Sabine
Published: February 2025

Patients have moved away from being passive recipients of care. They require access to their own health data, shared decision making and control over their care pathways. eHealth offers the tools to meet these requirements and to support both patients and care providers. However, opinions diverge in how far a patient-provider partnership should be supported or full consumer autonomy be provided and there is still not enough evidence on how to design and implement effective eHealth solutions that create patient benefits. In this keynote paper different perspectives on the patient empowerment process, outcome measurement and eHealth development will be discussed as well as ongoing developments in the field of e-citizen services be presented.
Characteristics of Patients at Risk for Adverse Drug Events: Designing for Patient Safety and Decision Support
Authors: Borycki Elizabeth  , Barnett Jeff  , Walisser Susan  , Bellwood Paule  , Clarke Melissa  , Greig David
Published: February 2025

Adverse drug events are a significant global health issue. In this paper we describe our research work to date in identifying the characteristics of patients who are at risk for adverse drug events. We conducted a focus group study with health professionals to identify those characteristics of patients that health professionals attend to if they believe a patient is at risk for an adverse drug event. This work is being undertaken in order to develop an electronic decision support system that will alert health professionals to the presence of such patient characteristics in order to support their clinical decision making.
Clinical Diagnosis Support System Based on Case Based Fuzzy Cognitive Maps and Semantic Web
Authors: Douali Nassim  , De Roo Jos  , Jaulent Marie-Christine
Published: February 2025

Incorrect or improper diagnostic tests uses have important implications for health outcomes and costs. Clinical Decision Support Systems purports to optimize the use of diagnostic tests in clinical practice. The computerized medical reasoning should not only focus on existing medical knowledge but also on physician's previous experiences and new knowledge. Such medical knowledge is vague and defines uncertain relationships between facts and diagnosis, in this paper, Case Based Fuzzy Cognitive Maps (CBFCM) are proposed as an evolution of Fuzzy Cognitive Maps. They allow more complete representation of knowledge since case-based fuzzy rules are introduced to improve diagnosis decision. We have developed a framework for interacting with patient's data and formalizing knowledge from Guidelines in the domain of Urinary Tract Infection. The conducted study allowed us to test cognitive approaches for implementing Guidelines with Semantic Web tools. The advantage of this approach is to enable the sharing and reuse of knowledge from Guidelines, physicians experiences and simplify maintenance.
Small Cause – Big Effect: Improvement in Interface Design Results in Improved Data Quality – a Multicenter Crossover Study
Authors: Ahlbrandt Janko  , Henrich Michael  , Hartmann Bernd A.  , Bundschuh Bettina B.  , Schwarz Julia  , Klasen Joachim  , Röhrig Rainer
Published: February 2025

In Germany the core data set for anesthesia version 3.0 was recently introduced for external quality assurance, which includes five surgical tracer procedures. We found a low rate of correctly documented tracers when compared to procedure data (OPS-Codes) documented separately. Examination revealed that the graphical user interface (GUI) contravened the dialogue principles as defined in EN ISO 9241-110. We worked with the manufacturer to implement small improvements and roll out the software. A crossover study was conducted at a university hospital and a municipal hospital chain with five hospitals. All study sites and surgical tracer procedures combined, we found an improvement from 42% to 65% (<0.001; N=34,610) correctly documented anesthesias. We also saw improvements for most of the observed surgical tracer procedures at all hospitals. Our results show the big effect small changes to the GUI can have on data quality. They also raise the question, if highly flexible and parameterized clinical documentation systems are suited to achieve high usability. Finding the right balance between GUIs designed by usability experts and the flexibility of parameterization by administrators will be a difficult task for the future and subject to further research.
Computerized Clinical Guidelines: Current Status & Principles for Future Research
Authors: Kondylakis Haridimos  , Tsiknakis Manolis
Published: February 2025

Although it is widely accepted that the adoption of computerized clinical guidelines would improve the quality of the provided health care, their influence in the daily practice is limited. In this paper we provide insights on the core topics related to computer interpretable clinical guidelines and we present shortly the main approaches in the area. Then we discuss the current limitations, and we present three simple principles that according to our view should be adopted to enhance the penetration of computerized clinical guidelines in the health care organizations. The overall goal of this paper is not only to give readers a quick overview of the works in the area, but also to provide necessary insights for the practical understanding of the issues involved and draw directions for future research and development activities.
From Clinical Requirement to Personalized Wellness Decision Support: A Data-driven Framework for Computer-Supported Guideline Refinement
Authors: Hsueh Pei-Yun  , Lan Ci-Wei  , Deng Vincent  , Zhu Xinxin
Published: February 2025

Personalized wellness decision support has gained significant attention, owing to the shift to a patient-centric paradigm in healthcare domains, and the consequent availability of a wealth of patient-related data. Despite the success of data-driven analytics in improving practice outcome, there is a gap towards their deployment in guideline-based practice. In this paper we report on findings related to computer-supported guideline refinement, which maps a patient's guideline requirements to personalized recommendations that suit the patient's current context. In particular, we present a novel data-driven personalization framework, casting the mapping task as a statistical decision problem in search of a solution to maximize expected utility. The proposed framework is well suited to produce personalized recommendations based on not only clinical factors but contextual factors that reflect individual differences in non-clinical settings. We then describe its implementation within the guideline-based clinical decision support system and discuss opportunities and challenges looking forward.
Implementation of Computerized Physician Order Entry (CPOE) with Clinical Decision Support (CDS) Features in Riyadh Hospitals to Improve Quality of Information
Authors: Almutairi Mariam S.  , Alseghayyir Rana M.  , Al-Alshikh Anwar A.  , Arafah Hayat M.  , Househ Mowafa S.
Published: February 2025

In this paper, we have conducted a preliminary study of the applied Clinical Decision Support (CDS) features in adopted Computerized Physician Order Entry (CPOE) systems. The study was conducted in three hospitals in Riyadh, the capital city of Saudi Arabia. The results show that the adoption of CPOE with a Clinical Decision Support System (CDSS) is not yet mature. CPOE systems allow physicians to enter their medication orders electronically, but many of the applied CPOE systems do not contain alerts to advise physicians of potentially dangerous interactions caused by incorrect medications. Hospitals are advised to enhance the role of CDSS with the CPOE to reduce medication errors, improve patients' safety and increase information quality.
Human Rights Monitoring in Virtual Community
Authors: El Morr Christo
Published: February 2025

Holistic disability rights monitoring is essential in order to translate rights on paper into rights in reality for people with disabilities. At the same time, evidence-based knowledge produced through holistic monitoring has to be made accessible to a broad range of groups – researchers, representatives of disability community, people with disabilities, the media, policy makers, general public – and also has to contribute to building capacity within disability community around human rights issues. This article focuses on the design process of a complex Virtual Knowledge Network (VKN) as an operational tool to support mobilization and dissemination of evidence-based knowledge produced by the Disability Rights Promotion International Canada (DRPI-Canada) project. This tool is embedded in the more general framework of the project grounded in a human rights approach to disability and that acknowledges the importance of creating knowledgeable communities in order to make the disability rights monitoring efforts sustainable, advancing thus the decision making process in Canada in order to enhance the quality of life of people with disabilities.
Experiences in the Creation of an Electromyography Database to Help Hand Amputated Persons
Authors: Atzori Manfredo  , Gijsberts Arjan  , Heynen Simone  , Hager Anne-Gabrielle Mittaz  , Castellimi Claudio  , Caputo Barbara  , Müller Henning
Published: February 2025

Currently, trans-radial amputees can only perform a few simple movements with prosthetic hands. This is mainly due to low control capabilities and the long training time that is required to learn controlling them with surface electromyography (sEMG). This is in contrast with recent advances in mechatronics, thanks to which mechanical hands have multiple degrees of freedom and in some cases force control. To help improve the situation, we are building the NinaPro (Non-Invasive Adaptive Prosthetics) database, a database of about 50 hand and wrist movements recorded from several healthy and currently very few amputated persons that will help the community to test and improve sEMG-based natural control systems for prosthetic hands. In this paper we describe the experimental experiences and practical aspects related to the data acquisition.
How Medical Doctors and Students Should Use Social Media: a Review of the Main Guidelines for Proposing Practical Recommendations
Authors: Mayer Miguel Angel  , Leis Angela  , Mayer Alex  , Rodriguez-Gonzalez Alejandro
Published: February 2025

Social Media has grown exponentially and in the last few years there has been an increasing use amongst medical doctors and students. There is intense debate about the complexities of ensuring medical professionalism in the digital age and especially on using open and massive online services. The objectives of this paper are: first, to gather the main recommendations on using Social Media platforms and websites by medical doctors and students, which are proposed by several international organizations, institutions and universities of reference and second, to propose a set of practical recommendations, based on the comparison of the statements and items of the guidelines, in order to find agreements and differences among them and select the most common and practical items stated. A Decalogue of good practices has been drawn up, pointing out the most important aspects that should be considered, highlighting the relevance of maintaining professional behavior in these environments, taking into account the advantages and drawbacks when using them.
Virtual Patient Simulation: a Comparison of Two Approaches for Capacity Building in Sub-Saharan Africa
Authors: Bediang Georges  , Raetzo Marc-André  , Geissbuhler Antoine
Published: February 2025

Background: given the diversity of virtual patient simulation systems, this study provides a comparison of two different tools, in the perspective of deploying them for supporting initial and continuing medical education in Sub-Saharan Africa.
One Approach for Grayscale Image Decorrelation with Adaptive Multi-level 2D KLT
Authors: Kountchev Roumen  , Nakamatsu Kazumi
Published: February 2025

In this work is presented one new method and algorithm for block two-dimensional (2D) Karhunen-Loeve transform of grayscale images, based on transform matrices of size 2×2. In correspondence with the method, the couples of neighbor elements for each block of size 2n×2nare transformed and rearranged n times: first in horizontal, and after that - in vertical direction. In result is obtained full decorrelation of the transformed block elements. Here is also offered an algorithm for parallel and recursive calculation of the transform and its computational complexity is compared to that of the separable 2D Karhunen-Loeve transform for a block of same size. The evaluation of the basic characteristics of the new method outlines its advantages in respect to the well-known 2D Karhunen-Loeve transform, applied for grayscale images.
Conditions of the fuzzy internet mortgage market submodels implementation
Authors: Orłowski Aleksander  , Szczerbicki Edward
Published: February 2025

The paper introduces some challenges of the fast growing mortgage market in Poland, being also the next step of research presented in previous publications, showing the complete process of building and verifying three submodels for the internet mortgage market. The sub-models are described for three market situations, i.e. stable market, crisis, and boom, then the variables within the models are analyzed statistically (e.g. correlation level) and finally the models are verified. The paper presents the process of verification of submodel nr 3 (fast growing market) as an example of the verification process that was applied. The paper concludes with directions for further research in this area leading to the ultimate application of the proposed model in a real life prognosis process.
Reducing Vocabulary Size in Human Action Classification
Authors: Cózar J.R.  , Hernández R.  , Heredia Y.  , Gonzáalez-Linares J.M.a  , Guil N.
Published: February 2025

Human action classification is an important task in computer vision. Bag-of-Words using spatio-temporal features and some classification algorithm is one of the most successful methods in this context. In this work we have studied the effect of reducing the vocabulary size using a video word ranking method. We have used the KTH dataset to obtain a vocabulary with more descriptive words and, at the same time, more compact and efficient. Results for different vocabulary sizes show an improvement of the recognition rate whilst reducing the number of words due to the fact that non-descriptive words are removed.
Ontology of Human Relationships
Authors: Katayama Tomoyuki  , Oda Naotaka  , Mutoh Atsuko  , Inuzuka Nobuhiro
Published: February 2025

Universities are expected to pay more effort to support students, which pushes the spread of student counseling. This has been gathering attention because many kinds of students and many ways of studies become common and because students meet many difficulties in their academic career and consideration of their future. We have been developing a recording system for student counseling. The system is expected to use in student counseling section in universities. The records should be analyzed to give answers for difficulties. In this paper we give an ontology for human relationship. Human relationship can be used as indexes for describing and analyzing records. We considered many types of relationships from the aspect of student counseling.
A Game-Theoretic Two-echelon Model Approach to Strategy Development of Competitive Ocean Logistics in Thailand
Authors: Waripan Thisana  , Watada Junzo
Published: February 2025

This paper deals with optimal decision methods under a cooperative situation of the two-echelon model among logistic service providers (LSPs) of Stackelberg structure. Assuming duopolistic shippers and oligopolistic forwarders, the shippers perform as a leader and declare their service to both the forwarders after determining their price and quantity independently under shippers’ scheme. The objective of this study is to obtain the optimal strategies of exporters in the three types of rival game behaviours: Stackelberg, Collusion and Cournot, each of which provides the optimal decision for the duopolistic shippers and the oligopolistic forwarders in each scenario. The result of a real situation indicates that: (i) among three scenarios, the oligopolistic treatment of forwarders’ actions shows that Stackelberg behaviour can carry out the maximum profit, and (ii) Collusion game can achieve the maximum profit for the shippers.
Method of Constructing the Integral OLAP-model based on Formal Concept Analysis
Authors: Penkova Tatiana  , Korobko Anna
Published: February 2025

In this paper a new approach to analytical decision making support based on on-line analytical processing of multidimensional data is suggested. The effectiveness of data analysis depends largely on the data accessibility and transparency of an analytical model of domain. As usual, analytical model of domain is a set of OLAP-models for solving particular problems. The method of constructing a conceptual OLAP-model as an integral analytical model of the domain is proposed. The integral analytical model includes all possible combinations of analyzed objects and gives them the opportunity to be manipulated ad-hoc. The suggested method consists in a formal concept analysis of measures and dimensions based on an expert knowledge about the structure of analyzing objects and their comparability. As a result, conceptual OLAP-model is represented as a concept lattice of multidimensional cubes. Concept lattice features allow the decision maker to discover the nonstandard analytical dependencies on the set of all actual analyzing objects. Conceptual OLAP-model implementation improves the effectiveness of decision making support based on on-line analytical processing of multidimensional data.
Supervised classification using deformation-based features for Alzheimer’s disease detection on the OASIS cross-sectional database
Authors: Savio Alexandre
Published: February 2025

In the last 10 years, detection of Alzheimer’s disease based on brain T1-weighted Magnetic Resonance Imaging (MRI) have been a highly sought goal in the neuroscientific community. However, the methods were assessed on different datasets and not always publicly available ones making reproducibility and validation impossible. Here, we evaluated five deformation-based features (Jacobian determinant and trace, modulated grey matter (GM), deformation vector norm and geodesic anisotropy) and three feature selection processes (Pearson correlation, Bhattacharyya distance and Welch’s t-test) using the 416 subjects (316 controls and 100 patients) from the OASIS database. Our objective was to correctly discriminate between controls (CN) and Alzheimer’s disease patients (AD). For this task we used a fully and non-fully independent stratified 10-fold cross-validation and linear SVM. Our best mean detection result was 79.43% of precision, 96.67% of sensitivity and 97.37 of area under the ROC curve.We also show discriminant voxel site locations found with each measure.
Knowledge-Driven Method for Object Qualification in 3D Point Cloud Data
Authors: Hmida Helmi Ben  , Cruz Christophe  , Nicolle Christophe  , Boochs Frank
Published: February 2025

The identification of objects in 3D point cloud data has always presented a real challenge. Such a process highly depends on human interpretation of the scene and its objects. Actual approaches are numerical based; in best cases, static models are used as a template for the detection process. By the presented work, we aim at extending the detection process by bringing the human expert knowledge about the scene, the objects, their characteristics and their relations onto the processing chain. To do, we present in this paper a knowledgedriven method for the detection of object and its qualification using OWL ontology. The knowledge contained by the ontology defines the constraints about the objects. Logic programs are used as rules to define constrains between objects. The processing of the scene is an iterative annotation process that combines 3D algorithms, geometric analysis, spatial analysis and especially specialist’s knowledge. The created platform takes a set of 3D point clouds as input and produces as output a populated ontology corresponding to an indexed scene. The context of the study is the detection of railway objects materialized within the Germany Railway scene. Thus, the resulting enriched and populated ontology contains the annotations of objects in the point clouds, and can be used further on to feed a GIS system or an IFC file for architecture purposes.
SAC$\hat$3 – A Rule-Based System to Include Context in the Durability Analysis of Civil Structures
Authors: López Solano Carlos Armando  , Bravo Córdoba Germán Enrique
Published: February 2025

The structural elements of buildings are subject to degradations affecting their service life, due to the use to which they are subjected and to the context where they are located. It is possible to determine the degradations to which a structure is subjected through the use of fault trees and then calculate its actual service lifetime. SAC$\hat$3 is a computer system that integrates an expert system which implements fault trees by means of inference rules, as well as durability models to diagnose the potential degradations of a structure and its service lifetime. This paper presents the relevant explanations of concepts in the field of civil engineering, the development corresponding to the expert system as well as its application to the particular case of reinforced concrete structures.
Networks of Polarized Evolutionary Processors as Problem Solvers
Authors: Alarcón Pedro Pablo  , Arroyo Fernando  , Mitrana Victor
Published: February 2025

In this paper, we propose a solution to an NP-complete problem, namely the “3-colorability problem”, based on networks of polarized evolutionary processors. Our solution is uniform (it works for all instances of the same size) and time efficient (it works in linear time).
Lecture Notes in Computer Science: An effective index to learn Software Engineering by using ITSS
Authors: El-Agamy Rasha  , Morimoto Chikako  , Tsuda Kazuhiko
Published: February 2025

IT is a field that requires extensive knowledge. The Japanese government has published the document which defined the knowledge about IT. This document is called ITSS (Information Technology Skill Standard). The ITSS document defines 11 job categories. This paper proposes a method to derive what should be learned for these 11 job categories. In order to learn efficiently, it is indispensable to discern what is important for targeted for learning. By proposed method, important words are extracted from the document of each job categories using cosine similarity algorithm. High weight keywords were used to estimate the most important required education courses for each IT job category.
Intelligent Monitoring and Activity Interpretation Framework – INT
Authors: Sokolova Marina V.  , Carlos Castillo José  , Fernández-Caballero Antonio  , Serrano-Cuerda Juan
Published: February 2025

The INT3-Horus framework, dedicated to intelligent monitoring and activity interpretation with special application in advanced surveillance systems, is introduced. INT3-Horus is presented in two parts. This paper introduces the second part of the description of the framework. Here we introduce the framework ontological model. The ontology is composed of a couple of classes, namely the Level Class and the DataType Class. The paper also describes the relations between both classes, as well as it introduces the notion of set of rules which determine the system functionality for a given domain. The first part introduces the general description of the framework [1].
Uniform Argumentation Frameworks
Authors: Atkinson Katie  , Bench-Capon Trevor  , Dunne Paul E.
Published: February 2025

We introduce a derivative of Dung's seminal abstract argumentation frameworks (afs) through which distinctive features both of Dung's semantics and so-called “value-based” argumentation frameworks (vafs) may be captured. These frameworks, which we describe as uniform afs, thereby recognise that, in some circumstances, arguments may be deemed acceptable, not only as a consequence of subjective viewpoints (as are modelled by the concept of audience in vafs) but also as a consequence of “value independent” acceptance of other arguments: for example in the case of factual statements. We analyse divers acceptability conditions for arguments in uniform afs and obtain a complete picture for the computational complexity of the associated decision questions. Amongst other results it is shown that reasoning in uniform afs may pose significantly greater computational challenges than either standard or value-based questions, a number of problems being complete for the third level of the polynomial hierarchy.