bluuebunny/crossref_metadata_2025 huggingface dataset:
Texture analysis software: integration with a radiological workstation
Authors: Duvauferrier Régis  , Bezy Joan  , Bertaud Valérie  , Toussaint Grégoire  , Morelli John  , Lasbleiz Jeremy
Published: February 2025

Image analysis is the daily task of radiologists. The texture of a structure or imaging finding can be more difficult to describe than other parameters. Image processing can help the radiologist in completing this difficult task. The aim of this article is to explain how we have developed texture analysis software and integrated it into a standard radiological workstation. The texture analysis method has been divided into three steps: definition of primitive elements, counting, and statistical analysis. The software was developed in C++ and integrated into a Siemens workstation with a graphical user interface. The results of analyses may be exported in Excel format. The software allows users to perform texture analyses on any type of radiological image without the need for image transfer by simply placing a region of interest. This tool has already been used to assess the trabecular network of vertebra. The integration of such software into PACS extends the applicability of texture analysis beyond that of a mere research tool and facilitates its use in routine clinical practice.
Model Driven Mobile Care for Patients with Type 1 Diabetes
Authors: Skrøvseth Stein Olav  , Årsand Eirik  , Godtliebsen Fred  , Joakimsen Ragnar M.
Published: February 2025

We gathered a data set from 30 patients with type 1 diabetes by giving the patients a mobile phone application, where they recorded blood glucose measurements, insulin injections, meals, and physical activity. Using these data as a learning data set, we describe a new approach of building a mobile feedback system for these patients based on periodicities, pattern recognition, and scale-space trends. Most patients have important patterns for periodicities and trends, though better resolution of input variables is needed to provide useful feedback using pattern recognition.
ICF Machine: a Web-based System for Collection of ICF Data
Authors: Della Mea Vincenzo  , Fioresi Valerio
Published: February 2025

The International Classification of Functioning, Disability and Health (ICF) is a WHO classification for health and health-related issues. In order to foster ICF application in information systems, we devised an implementation profile in ClaML (Classification Markup Language) that allows for representation of ICF subsets and we developed a web-based system for collecting ICF data based on from their ClaML representation. The implementation profile and the application have been tested on 17 subsets, which have been translated into ClaML and then submitted to the web application, to produce test documents.
‘Onco Alerts’ to support Acute Oncology services
Authors: Poulter Thomas  , Bath Peter A.
Published: February 2025

The National Chemotherapy Advisory Group report has recommended that all hospitals in the UK with an Emergency Department should establish an acute oncology (AO) service. Acute oncology, when implemented at a clinical network level, presents significant challenges for informatics, including the requirement for ‘onco alerts’ – automated notification of admission of potential cancer patients, whose diagnosis may not be recorded on the admitting hospital's IT systems. In this short paper we present a case study and describe an approach to supporting the development of AO services with cross-organisational information systems.
Formative Usability Evaluation of a Web-Based Insulin Self-Titration System: Preliminary Results
Authors: Gude Wouter T.  , Simon Airin C.R.  , Peute Linda W.P.  , Holleman Frits  , Hoekstra Joost B.L.  , Peek Niels  , Jaspers Monique W.M.
Published: February 2025

We developed a web-based system supporting patients in insulin self-titration and their caregivers in monitoring patients' self-management activities. Since usability flaws could cause user attrition and compromise patient safety, we evaluated the system's usability prior to its implementation in practice. Two pairs of researchers conducted cognitive walkthrough sessions and identified 81 unique usability problems, including four with a potential impact on patient safety. Usability evaluations could reveal many usability problems and allow solving the problems while avoiding user attrition and potential adverse patient events.
Quality requirements for EHR Archetypes
Authors: Kalra Dipak  , Tapuria Archana  , Austin Tony  , De Moor Georges
Published: February 2025

The realisation of semantic interoperability, in which any EHR data may be communicated between heterogeneous systems and fully understood by computers as well as people on receipt, is a challenging goal. Despite the use of standardised generic models for the EHR and standard terminology systems, too much optionality and variability exists in how particular clinical entries may be represented. Clinical archetypes provide a means of defining how generic models should be shaped and bound to terminology for specific kinds of clinical data. However, these will only contribute to semantic interoperability if libraries of archetypes can be built up consistently. This requires the establishment of design principles, editorial and governance policies, and further research to develop ways for archetype authors to structure clinical data and to use terminology consistently. Drawing on several years of work within communities of practice developing archetypes and implementing systems from them, this paper presents quality requirements for the development of archetypes. Clinical engagement on a wide scale is also needed to help grow libraries of good quality archetypes that can be certified. Vendor and eHealth programme engagement is needed to validate such archetypes and achieve safe, meaningful exchange of EHR data between systems.
A Standardized Middleware as the core of a Telemonitoring European Project
Authors: Vergari Fabio  , Gazzarata Roberta  , Morandi Francesco  , Parodi Viola  , Naso Simone  , Arezza Alessandra  , Salmon Cinotti Tulio  , Giacomini Mauro
Published: February 2025

In order to develop smart and innovative solutions which are able to realize the concept of care continuum, the use of a number of different multiple devices, based on heterogeneous technologies, is necessary. In this complex context it is important to study and design systems whose architecture ensure the interoperability between devices and service. A standardized middleware which is able to guarantee this important requirement within the European Project CHIRON, is presented in this article.
Ophiucus: RDF-based Visualization Tool for Health Simulation Models
Authors: Sutcliffe Andrew  , Okhmatovskaia Anya  , Shaban-Nejad Arash  , Buckeridge David
Published: February 2025

Simulation modeling of population health is becoming increasingly popular for epidemiology research and public health policy-making. However, the acceptability of population health simulation models is inhibited by their complexity and the lack of established standards to describe these models. To address this issue, we propose Ophiuchus – an RDF (Resource Description Framework: http://www.w3.org/RDF/)-based visualization tool for generating interactive 2D diagrams of population health simulation models, which describe these models in an explicit and formal manner. We present the results of a preliminary system assessment and discuss current limitations of the system.
An Information Artifact Ontology Perspective on Data Collections and Associated Representational Artifacts
Authors: Ceusters Werner
Published: February 2025

Biomedical data collections are typically compiled on the basis of assessment instruments and associated terminologies and their data structure explained by means of data dictionaries. The Information Artifact Ontology (IAO) is an attempt to give a realism-based account of the essence of information entities and how components of such entities relate to each other and to that what they are information about. Changes in the taxonomy and the definitions of the IAO, most importantly the addition of the terms ‘representational artifact’ and ‘representational unit’, are proposed to make the IAO a useful tool to clarify formally the distinctions and commonalities between data collections and associated artifacts that are compiled independently from each other, yet cover the same domain.
A Data-driven Living Review for Pharmacogenomic Decision Support in Cancer Treatment
Authors: Karakülah Gökhan  , Suner Aslı  , Adlassnig Klaus-Peter  , Samwald Matthias
Published: February 2025

With drastically decreasing costs of genetic sequencing, it has become feasible to use individual genetic markers to optimize treatment selection in cancer therapy. However, it is still difficult for medical practitioners to integrate these new kinds of data into clinical routine, since available information is growing rapidly. We demonstrate how a blend of manual curation and automated data extraction and evidence synthesis can be used to generate a ‘living review’, a summarization of current evidence on cancer classification, corresponding genetic markers, genetic tests and treatment options that can be used by clinicians to refine treatment choices. In contrast to a classical review, this automated ‘living review’ offers the opportunity of automatically updating core content when available data changes, making it easier to keep an overview of the best current evidence. We discuss some of the findings we made while creating a prototype of a ‘living review’ for colorectal cancer pharmacotherapy.
Knowledge-Analytics Synergy in Clinical Decision Support
Authors: Slonim Noam  , Carmeli Boaz  , Goldsteen Abigail  , Keller Oliver  , Kent Carmel  , Rinott Ruty
Published: February 2025

Clinical Decision Support (CDS) systems hold tremendous potential for improving patient care. Most existing systems are knowledge-based tools that rely on relatively simple rules. More recent approaches rely on analytics techniques to automatically mine EHR data to reveal meaningful insights. Here, we propose the Knowledge-Analytics Synergy paradigm for CDS, in which we synergistically combine existing relevant knowledge with analytics applied to EHR data. We propose a framework for implementing such a paradigm and demonstrate its principles over real-world clinical and genomic data of hypertensive patients.
Watermarking as a Traceability Standard
Authors: Coatrieux Gouenou  , Quantin Catherine  , Allaert François-André
Published: February 2025

The exponential increase in the number of electronic document exchanges in healthcare has considerably increased the risk of document drop-out or address errors. It may therefore be important to know to whom the information belongs and who produced it. This becomes a major concern when the document has been involved in processes leading to the choice of therapy and eventually in cases where patients seek damages for medical malpractice. Watermarking, which is the embedding of security elements, such as a digital signature, within a document, can help to ensure that a digital document is reliable. However, at the same time, questions arise about the validity of watermarking-based evidence. In this paper, beyond the technical aspects, we discuss the worldwide legal acceptability of watermarking and the need for its recognition as a standard according to technical characteristics that the CEN and ISO need to agree on.
Formal Specification of an Ontology-based Service for EHR Interoperability
Authors: González Carolina  , Blobel Bernd G.M.E.  , López Diego M.
Published: February 2025

Objective: The objective of this paper is to describe by a Platform Independent Model, the formal specification of an ontology-based service for electronic health records interoperability.
The Nature of Unintended Benefits in Health Information Systems
Authors: Kuziemsky Craig E.  , Borycki Elizabeth  , Nøhr Christian  , Cummings Elizabeth
Published: February 2025

Health information systems (HISs) have been shown to introduce unintended consequences post implementation. Much of the current research on these consequences has focused on the negative aspects of them. However unintended consequences of HIS usage can also be beneficial to various aspects of healthcare delivery. This paper uses several case studies of HIS implementation to develop a model of unintended benefits of HIS usage with three categories of benefits: patient, service delivery and administrative. We also discuss the implications of these benefits on the design and evaluation of HISs.
Proposal of an Architecture for the National Integration of Electronic Health Records: A Semi-Centralized Approach
Authors: Al Jarullah Asma  , El-Masri Samir
Published: February 2025

This paper proposes a novel architecture for the national integration of Electronic Health Records (EHRs), the semi-centralized approach, in which summarized EHRs are maintained centrally at a nation-wide system with references to their comprehensive versions at their original locations on the various healthcare providers' databases. The idea is to allow the clinicians to have an idea of what is included inside the patient's EHRs at each healthcare provider's database and to have a general view of the patient's medical history, and when needed to retrieve the complete EHR of the patient from a remote healthcare providers' systems. A high level system architecture needed to integrate EHRs from various sources on a nation-wide basis using the proposed semi-centralized approach is described. Best practices and essential requirements are the central to the evolution of the approach taken.
Augmenting Social Media Monitoring through Human Collaboration
Authors: Karacapilidis Nikos  , Loeffler Ralf  , Maassen Doris  , Tzagarakis Manolis
Published: February 2025

This paper presents an innovative solution to Social Media monitoring. The proposed approach builds on the synergy between machine and collective human intelligence to enhance the underlying sense-making and decision making processes. In the setting under consideration, our approach reduces the data-intensiveness and overall complexity of real-life collaboration and decision making to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities. This is achieved through a meaningful integration of dedicated data mining and collaborative decision making services.
Early Smoke Detection in Outdoor Space by Spatio-temporal Clustering using a Single Video Camera
Authors: Favorskaya Margarita  , Levtin Konstantin
Published: February 2025

The early smoke detection in outdoor space concerns to a security sphere and is realized in landscape monitoring systems, in video surveillance systems near building, on bridges, ships, into tunnels and etc. We have suggested a novel video-based method of smoke detection by spatio-temporal clustering which involves three developing stages. The first stage connects with motion detection, the second stage is based on a color-texture analysis of moving regions, and the third stage is enhanced by a spatio-temporal clustering of moving regions with a turbulence parameter. A spatio-temporal volume data permits effectively track a dynamics of smoke propagation in outdoor space by using the designed software functioning in a real-time mode. Experimental results show that the proposed set of spatial and temporal features well discriminate smoke and non-smoke objects in outdoor scenes with a complex background.
Multi-Agent Logic with Distances, Uncertainty and Interaction Based on Linear Temporal Frames
Authors: Rybakov Vladimir
Published: February 2025

Our paper studies a new temporal agents’ knowledge logic TLDistKnI,U, which expresses localised agents’ knowledge, operation of knowledge via agents’ interaction, operation of uncertainty and operations responsible for measuring distances. We study problems of satisfiability and decidability for TLDistKnI,U. We _nd an algorithm which recognizes theorems of TLDistKnI,U, this implies that TLDistKnI,Uis decidable, and the satisfiability problem for TLDistKnI,U
Development of a System to Predict Understanding Level by Blink Frequency
Authors: Adachi Yoshinori  , Konishi Kei  , Ozaki Masahiro  , Iwahori Yuji
Published: February 2025

In Web study, a learner studies alone toward a personal computer. Therefore, the learner cannot see the appearance of the other learners, and cannot receive the appropriate advice from teachers. Therefore, it is difficult to maintain and to improve the incentive to learn. To give a learner a sense of accomplishment is one of the methods to maintain the incentive to learn. For this, a Web learning system should give the learner a moderately difficult problem (problem let him feel that he can do it if he does his best a little more). To do this, the system should automatically measure the learner’s understanding level accurately. So far, there are a couple of methods to grasp learner’s level, e.g. Item response theory and SP score table analysis, etc. However, a lot of data are necessary for the analysis in such methods. And, it is difficult to deal with a new problem. In psychology, it is said that there is a blink to follow to the change in feelings besides a physiological blink. In this paper, we thought that the feelings change can be known by the frequency change of the blink, and tried to measure the frequency of the blink in real time. Furthermore, it is tried to clarify the relation to the learner’s understanding level by comparing the result of the problem.
Extracting Quarterly Trends of Tokyo Stock Market by Means of RMT-PCA
Authors: Tanaka-Yamawaki Mieko  , Kido Takemasa  , Yamamoto Atsushi
Published: February 2025

We attempt to clarify two remaining issues in the RMT-PCA, a recently developed tool to extract trendy industrial sectors in a stock market based on the comparison of the eigenvalue spectrum of the cross correlation matrix between pairs of stock price time series to the theoretical spectrum derived from RMT. The first issue is the number of principal components to examine, and the second issue is the number of eminent elements to examine out of the total N components of the chosen eigenvectors. In order to answer to those questions, we have analyzed the intra-day stock prices of Tokyo Stock Market for 12 quarters extending from 2007 to 2009. To the first issue, we found that only the second largest principal component is sufficient to examine, based on the comparison of this scenario and the use of the largest ten principal components. We argue on this point that the positive elements, and the negative elements, of the eigenvector components individually form collective modes of industrial sectors in the second eigenvector u2, and those collective modes reveal themselves as trendy sectors of the market in that season. To the second issue, we have not reached any conclusion and simply compare the two scenarios. The first scenario is to pick ten largest elements from the positive components and another ten from the negative components, and the second scenario is to pick the accumulated 20% elements from the combination of positive and negative elements. The quarterly trends obtained from both scenarios are consistent to the yearly trends and the historical events in general.
Efficient segmentation of hyperspectral images on commodity GPUs
Authors: Quesada-Barriuso Pablo  , Argüello Francisco  , Heras Dora B.
Published: February 2025

The techniques for segmentation and classification of hyperspectral images are very costly, which makes them good candidates for parallel and, in particular, GPU processing. In this paper we present a GPU implementation of a segmentation strategy for hyperspectral images consisting in the calculation of a morphological gradient operator that reduces the dimensionality of the hyperspectral image followed by the calculation of a watershed transform over the resulting 2D image. We have studied the main issues for the efficient implementation of the algorithms in GPU: the exploitation of thousands of threads available in this architecture and the adequate use of the device bandwidth. The tests show the efficiency of the GPU implementation indicating that the processing of hyperspectral images can be performed in real-time even on commodity GPUs like the one used in the experiments.
Exploiting the Self-Organizing Financial Stability Map
Authors: Sarlin Peter
Published: February 2025

This paper attempts to enhance the visualization and extraction of information on the Self-Organizing Financial Stability Map (SOFSM). The SOFSM uses the Self-organizing map to represent a multidimensional financial stability space on a two-dimensional grid and allows monitoring the financial stability cycle represented by four states. We enhance visualization and information extraction of the SOFSM by the means of four tasks: (1) fuzzification of the map, (2) probabilistic modeling of state transitions, (3) contagion analysis and (4) outlier detection. The usefulness of the extensions is shown with sample visualizations and predictive performance.
Predicting the Final Result of Sporting Events Based on Changes in Bookmaker Odds
Authors: Odachowski Karol  , Grekow Jacek
Published: February 2025

The aim of this study was to investigate the possibility of predicting how sporting events will end based on changes in bookmaker odds. Football was the sport chosen for observation of changes in bookmaker odds. The study involved 1116 sporting events. A number of different classifiers that predict the final result of a football match were developed. The results obtained, an effectiveness of 70%, are quite satisfactory and prove the existence of a relationship between changes in the bookmaker odds values and the outcome of the football match.
Prosodic feature normalization for emotion recognition by using synthesized speech
Authors: Suzuki Motoyuki  , Nakagawa Shohei  , Kita Kenji
Published: February 2025

Emotion recognition from speech signals is one of the most important technologies for natural conversation between humans and robots. Most emotion recognizers extract prosodic features from an input speech in order to use emotion recognition. However, prosodic features changes drastically depending on the uttered text.
Motion Detection based on Simulated Depth Measurement
Authors: Lim Chern Hong  , Kadyrov Alexander  , Seng Chan Chee  , Liu Honghai
Published: February 2025

Depth information is a very important cue to understand human motion. In this paper, we establish that, even with no real depth camera, the concept of obtaining depth information is applicable for human motion detection. We propose a new motion detection method based on the concept of a real world video surveillance system enhanced with depth cameras. It is developed for detecting and analysing human motion. First, it imitates depth measuring process of a depth camera. Specially chosen in the image during the initialization process, view points play the role of cameras, whereas the depth is measured as a distance from these points to the human figure in the image. Initially, the body is partitioned into four segments to obtain the information about which part of the body is moving. Then, in course of the working cycle of the method, the received depth values are constantly subtracted from the previously obtained values, and the intensity of the body motion is calculated using root mean square. The method has been tested on actions taken from a standard motion dataset (IXMAS). It proved to be stable and reliable.
Transitions-Based System
Authors: Raimbault Thomas  , Genest David  , Loiseau Stéephane
Published: February 2025

We present a simple, effective and original way to make the most of complementarity among several Knowledge Representation and Reasoning approaches. The principle is to convey knowledge from one approach to another, using a set of transition rules. So, based on these rules, we obtain a system, that we called Transitions-Based System, composed by several KR&R approaches where they and their tools can be used together, on one hand for representing knowledge with then a rich expressive power and on the other hand for reasoning in a large and complex manner. To illustrate a such system, we focus on the case composed by the synergistic use of OWL, Conceptual Graphs and UML.
Thermal Fluids Transfer Systems Supervision Using NN Based Models
Authors: García Ramón Ferreiro  , Calvo-Rolle José Luis  , Castelo Francisco Javier Pérez
Published: February 2025

The problem of thermal fluids transfer supervision is a typical non linear process which suffers from lack of detectability when analytic model based techniques are applied on fault detection, isolation and reconfiguration tasks. This work describes the implementation of a supervision strategy to be applied on thermal fluids transfer systems for which massive neural networks based conventional functional approximation techniques associated to recursive rule based techniques on the basis of parity space approaches are applied. Results shown that diagnosis applied to fluid transfer problems can be carried out under acceptable determinism and reliability.
Computational Aspects of cf2 and stage2 Argumentation Semantics
Authors: Dvořák Wolfgang  , Gaggl Sarah Alice
Published: February 2025

We consider two instantiations of the SCC-recursive schema for argumentation semantics, cf2, using maximal conflict-free sets as base semantics, and stage2, using stage extensions as base semantics. Both of them have been shown to be in general of high complexity. We provide a detailed analysis of possible tractable fragments for these semantics. Moreover we present a labeling based algorithm for computing cf2 extension, which is complexity-sensitive w.r.t. one of the tractable fragments.
Resolutions in Structured Argumentation
Authors: Modgil Sanjay  , Prakken Henry
Published: February 2025

Recently resolution of attacks has been studied in the context of abstract argumentation frameworks. In this paper it is claimed that resolutions should be studied under the assumption that they are generated through the acquisition of preference information, and that this implies that the existing study of resolutions has limited applicability. A formalisation of preference-based resolutions is defined in the context of the ASPIC+framework for structured argumentation, and several properties of resolutions are proven or disproven. It is also argued that when resolutions are modelled without specifying the structure of arguments, then it is easy to overlook that assumptions made at the abstract level do not hold for all reasonable instantiations of the abstract framework, thus reducing its significance.
Dialogue Templates for Automatic Argument Processing
Authors: Bex Floris  , Reed Chris
Published: February 2025

Dialogue systems attempt to capture structured communication with the aim of understanding, improving, and automatically recreating su communication. This paper discusses dialogue templates: blueprints that can be instantiated and combined to form argumentative dialogues. These templates provide a generic way of representing individual dialogue systems and allow us to generalise techniques for investigation, generation and recognition of dialogues.
Balance Recovery Through Virtual Stepping Exercises Using Kinect Skeleton Tracking: A Follow-Up Study With Chronic Stroke Patients
Authors: Lloréns Roberto  , Alcañiz Mariano  , Colomer Carolina  , Navarro María Dolores
Published: February 2025

Stroke patients often suffer from hemiparesis, which affects their balance condition and consequently their self-dependency and quality of life. Balance rehabilitation can be a long and tedious process. Virtual rehabilitation systems have been reported to provide therapeutic benefits to the balance recovery of stroke patients while increasing their motivation. This paper presents a follow-up study involving chronic stroke patients to evaluate the clinical effectiveness of a virtual stepping exercise using skeleton tracking through a low-cost Kinect depth sensor.
Using Virtual Week To Assess Prospective Memory In Younger And Older Adults
Authors: Mioni Giovanna  , Stablum Franca  , Rendell Peter G.
Published: February 2025

Prospective memory (PM) is the ability to perform future intention. Older adults often present dysfunctions in PM tasks and investigating the nature of their difficulties have critical implication for their indipendent living. Virtual Week is a computer based program that simulate real week activities. Participants also performed executive functions tasks to investigate which abilities are involved in PM. Virtual Week has shown to be suitable instrument to evaluate PM performance with important implications on assessment and rehabilitation of PM dysfunctions.
Involving Elderly Users in Design: Techniques to Collect Preferences for Interactive Digital Television
Authors: Spagnolli Anna  , Gamberini Luciano  , Ibanez Francisco  , Fabregat Maria Elena  , Debelic Tijana  , Orso Valeria
Published: February 2025

SeniorChannel is a European project that explores the potential of using an Interactive Digital Television (IDTV) to turn elderly people at home into an active audience. Techniques to involve elderly users in the requirement collection during the design phase should take into account the decrease in perception, cognition and motor abilities associated with aging. The paper describes the specific solutions adopted here to elicit users' contribution, as well as the contributed preferences in terms of IDTV content and interaction modalities.
Virtual Worlds and Avatars as the New Frontier of Telehealth Care
Authors: Morie J.  , Haynes E.  , Chance E.  , Purohit D.
Published: February 2025

We are entering a new age where people routinely visit, inhabit, play in and learn within virtual worlds (VWs). One in eight people worldwide are VW participants, according to the latest 2011 figures from KZERO [1]. VWs are also emerging as a new and advanced form of telehealth care delivery. In addition to existing telehealth care advantages; VWs feature three powerful affordances that can benefit a wide range of physical and psychological issues. First, the highly social nature of VWs encourages social networking and the formation of essential support groups. Secondly, the type of spaces that have been proven in the physical world to promote psychological health and well-being can be virtually recreated. Finally, research suggests that embodied avatar representation within VWs can affect users psychologically and physically. These three aspects of VWs can be leveraged for enhanced patient-client interactions, spaces that promote healing and positive responses, and avatar activities that transfer real benefits from the virtual to the physical world. This paper explains the mounting evidence behind these claims and provides examples of VWs as an innovative and compelling form of telehealth care destined to become commonplace in the future.
Continuation/Frame-based Semantics for Aspect Matching and Weaving
Authors: Mouheb Djedjiga  , Ziarati Raha  , Debbabi Mourad
Published: February 2025

Aspect-orientation has gained a lot of attention from researchers. This concept emerged as an appropriate paradigm to improve the modularization of crosscutting concerns, such as security, logging, and synchronization. In this paper, we provide formal semantics for aspect matching and weaving for a core language based on λ-calculus. We adopt the pointcut-advice model, one of the fundamental and most popular AOP mechanisms. We consider basic pointcuts, i.e., get, set, call, and exec pointcuts. The semantics is based on a defunctionalized continuation-passing style since the latter provides a concise, accurate, and elegant description of AOP mechanisms.
Telecardiology for preventing sudden cardiac death in young people: an Italian high schools pilot study
Authors: Genuini Igino  , D'Ambrosi Alessandra  , Silvetti Elisa  , De Lazzari Claudio  , Pisanelli Domenico M.  , Fedele Francesco
Published: February 2025

Every year in Italy more than 1000 people under 35 years old are victims of sudden cardiac death (SCD). Such an incidence is comparable to that of other Western countries. Pathologies responsible for SCD should be diagnosed as early as possible in order to have effective prevention. The pilot study described in this paper is a particular application of telecardiology. It exploits the teleconsulting paradigm in order to perform a screening in high school students aimed at preventing sudden cardiac death.
The use of the Traffic Lights Panel as a goodness-of-clustering indicator – An application to Financial Assets
Authors: Conti Dante  , Gibert Karina
Published: February 2025

At the very early stage of finding homogeneous and distinguishable patterns from data, many different clustering algorithms can be used, providing each of them different results. Further analysis is required to select the definite clustering. In this research, we are introducing Traffic Light Panel (TLP) for the first time in this discovery process, with the aim of using it to interpret the clusters and establishing relationships between the quality of a certain clustering and the aspect of the TLP and consider the TLP a goodness-of-clustering indicator itself. In a totally non-supervised context, were no previously validated references are available, new quality criteria are defined for the TLP and used to select among several possible clusterings of the same. Our methodological approach is validated with a financial data set from Venezuelan Stock Exchange providing good results, which have been confronted and supported with posterior feedback from expert financial analysts
Personal Health Records: Mobile Biosensors and Smartphones for Developing Countries
Authors: Simon Sternly K.  , Seldon H. Lee
Published: February 2025

A target of telehealth is to maintain or improve the health of people outside the normal healthcare infrastructure. A modern paradigm in healthcare, and one which fits perfectly with telehealth, is “person self-monitoring”, and this fits with the concept of “personal health record” (PHR). One factor in maintaining health is to monitor physiological parameters; this is of course especially important in people with chronic maladies such as diabetes or heart disease. Parameters to be monitored include blood pressure, pulse rate, temperature, weight, blood glucose, oxygen saturation, electrocardiogram (ECG), etc. So one task within telehealth would be to help monitor an individual's physiological parameters outside of healthcare institutions and store the results in a PHR in a way which is available, comprehensible and beneficial to the individual concerned and to healthcare providers. To date many approaches to this problem have been fragmented – emphasizing only part of the problem – or proprietary and not freely verifiable. We describe a framework to approach this task; it emphasizes the implementation of standards for data acquisition, storage and transmission in order to maximize the compatibility among disparate components, e.g. various PHR systems. Data from mobile biosensors is collected on a smartphone using the IEEE 11073 standard where possible; the data can be stored in a PHR on the phone (using standard formats) or can be converted in real-time into more useful information in the PHR, which is based on the International Classification for Primary Care (ICPC2e). The phone PHR data or information can be uploaded to a central online PHR using either the Wi-Fi or GSM transmission protocol together with the Continuity of Care Record message format (CCR, ASTM E2369).
Delivering Healthcare Cost-Effectively Using Available Technology
Authors: Glennie Henry R.
Published: February 2025

This paper identifies ways technology, including telehealth, can be utilised to reduce health delivery costs whilst providing the highest possible standard of care.
Mobile Agents for Integrating Cloud-Based Business Processes with On-Premises Systems and Devices
Authors: Mislevics Antons  , Grundspenkis Janis
Published: February 2025

Business Process Management Systems (BPM systems) are used to control, analyze and manage business processes in organizations. BPM systems help to reduce the amount of administrative effort and focus on the processes which add value. Nowadays moving towards cloud-based Software-as-a-Service (SaaS) architecture some additional requirements for successful BPM implementation are identified. One of the main challenges is how to integrate SaaS BPM systems with existing on-premises systems, data sources and devices. In this paper mobile agents are proposed as the technology addressing this new challenge. A mobile agent is a composition of computer software and data which is able to migrate from one device to another autonomously and continue its execution on the destination device. The paper starts with an overview of SaaS BPM and existing approaches addressing SaaS integration challenges. Then the concept of mobile agents is described and the idea of how mobile agents may be used in SaaS BPM integration scenarios is presented. The paper is continued by a comparison of widely used integration approaches with proposed mobile agents based mechanism. Finally a newly proposed architecture is presented in a prototype outlining its advantages and proposing directions for future research.
Combining Data Mining Technique and Query Frequencies for Automatic Selection of Indexes in Data Warehouses
Authors: Ziani Benameur  , Ouinten Youcef
Published: February 2025

Index selection is an important part of physical database design. Its goal is to select an appropriate set of indexes to minimize the cost for a given workload under storage constraint. However, selecting a suitable configuration of indexes is a difficult problem to solve. The problem becomes more complex for indexes defined on multiple tables such as bitmap join indexes, since it requires the exploration of a much more search space. Studies dealing with the bitmap join indexes selection problem mainly focused on proposing pruning solutions of the search space by the means of data mining techniques or heuristic approaches. So far, the data mining based approaches have used closed frequent itemsets to reduce the search space for the selection process. These approaches have two notable shortcomings. Firstly, they generate a huge number of indexes with a lot of redundancy that it is very difficult to manage according to the system limitation (number of Indexes per table, storage space constraint). Secondly, when they construct the extraction context for mining frequent sets of attributes, they have used indexable attributes only once for each query in the workload which does not reflect the importance of a given query in the workload. Indeed, the queries in a workload are unlikely to have the same probability of being requested. To overcome these imitations, we propose to combine maximal frequent itemsets and query frequencies to improve the quality of generated indexes. This paper describes an approach that refines the index selection process, incorporating query frequencies in the extraction context for mining frequent set of attributes. We experimentally prove that our approach reduces the storage space and improves the quality of the recommended indexes.
On Proving the Concept of an Ontology Aided Software Refactoring Tool
Authors: Põld Janari  , Robal Tarmo  , Kalja Ahto
Published: February 2025

Through years more and more software is produced. The quality of software architecture however has an important role in systems exploitation, as it determines the maintainability and extensibility of an application. Recently more emphasis is put on quality of the design, so that new features can be added with ease. To preserve code readability and extensibility, software architecture must be refactored from time to time to cope with the modifications. Nevertheless, reviewing the whole source code is time consuming and does not return any surplus, thus it is often skipped, causing the software architecture to decay in time over several modifications and making it harder to add new functionality in the future. An automated method of recognizing “bad” code would help to solve some of the issues. In this article the authors propose a concept of a refactoring tool, which uses ontology to find “smelly” design and tackle the aforementioned problems. Several aspects of the tool are discussed – how it works and how it can be used to improve the software architecture, thus augment the quality.
Citation Analysis and Beyond: in Search of Indicators Measuring Case Law Importance
Authors: van Opijnen Marc
Published: February 2025

Could legal importance of a judicial decision be established by analyzing its position in a case law citation network? A network of nearly half a million citations was used to test a great variety of social network algorithms against three external benchmarks. All these algorithms were outperformed by a tailored variant of degree centrality. Furthermore, regression analysis was used to explore the possible relevance of eleven variables to the legal importance of case law.
A Model of Evaluation: Computational Performance and Usability Benchmarks on Video Stream Context Analysis
Authors: Sillberg Pekka  , Kurabayashi Shuichi  , Rantanen Petri  , Yoshida Naofumi
Published: February 2025

This paper presents a model of evaluation for computing performance and usability benchmarks. The target evaluation is context analysis of video streams. The paper describes the required system components, system architecture and evaluation model, as well as the test cases that can be performed using the designed environment. During the modelling, design, implementation and preliminary tests of the environment, some issues, problems and good-to-know key points were discovered which are explained in this paper. Reference guidance for future test cases is also given. The modelling and experimental results presented in this paper are based on the test environment, and the observations of the cooperation project between Tampere University of Technology Pori Unit and Keio University Shonan Fujisawa Campus.
Improving Decision Quality in Healthcare with an Error Prevention Model (EPM)
Authors: Chio David T.S.  , Kushniruk Andre  , Borycki Elizabeth
Published: February 2025

Human factors involved in decision quality are critical issues in healthcare. In this paper, issues related to the impact of human factors on decision quality in healthcare are considered. Specifically, the focus is on the issue of reducing human error as well as improving decision quality. An Error Prevention Model (EPM) is presented for considering tools and techniques that can be used to analyze complex errors that may be considered latent.
Software as a Medical Device: Regulatory Critical Issues
Authors: Pelayo Sylvia  , Bras Da Costa Sabrina  , Leroy Nicolas  , Loiseau Séverine  , Beuscart-Zephir Marie-Catherine
Published: February 2025

The revised Medical Device Directive has been adopted by the EU in 2010. A major change is that software for certain purposes is now considered a medical device. This entails that a new view needs to be developed on the design, development, evaluation and post-market surveillance of medical software that meets the definition of a medical device. This paper identifies some issues at stake and discusses them.
The Development of a Haptic Interface for the Virtual Translumenal Endoscopic Surgical Trainer (VTEST
Authors: Dargar Saurabh  , Solley Thomas  , Nemani Arun  , Brino Cecilia  , Sankaranarayanan Ganesh  , De Suvranu
Published: February 2025

Natural orifice translumenal endoscopic surgery (NOTES) is an experimental surgical technique with benefits including reduced pain, post operative recovery period and better cosmesis compared to traditional laparoscopic procedures. In a pure NOTES procedure, a flexible endoscope is used for performing the surgery and visualization. The Virtual Translumenal Endoscopic Surgical Trainer (VTESTTM) is being developed as a platform to train for NOTES procedures and innovate NOTES tools and techniques. In this work we report the design specification for the hardware interface to be used for VTESTTM.
Examination of Muscle Effort and Fatigue During Virtual and Actual Laparoscopic Surgical Skills Practice
Authors: Ehlers Landon  , Suh Irene H.  , LaGrange Chad  , Oleynikov Dmitry  , Siu Ka-Chun
Published: February 2025

This study determined the muscle effort and fatigue of the upper extremity while performing fundamental surgical skills training tasks. Ten novices performed three tasks (precision cutting, needle passing, and peg transfer) using either a virtual simulator or a laparoscopic box-trainer. Their electromyography (EMG) activities in both proximal and distal parts of upper extremity were measured. Significantly more muscle effort were required to complete tasks with the box-trainer, whereas similar muscle fatigue levels between tasks were found in both training environments. These EMG results demonstrated how the virtual trainer could provide meaningful physiological value to the surgeon training in laparoscopic surgery.
The Effect of Haptic Degrees of Freedom on Task Performance in Virtual Surgical Environments
Authors: Forsslund Jonas  , Chan Sonny  , Selesnick Joshua  , Salisbury Kenneth  , Silva Rebeka G.  , Blevins Nikolas H.
Published: February 2025

Force and touch feedback, or haptics, can play a significant role in the realism of virtual reality surgical simulation. While it is accepted that simulators providing haptic feedback often outperform those that do not, little is known about the degree of haptic fidelity required to achieve simulation objectives. This article evaluates the effect that employing haptic rendering with different degrees of freedom (DOF) has on task performance in a virtual environment. Results show that 6-DOF haptic rendering significantly improves task performance over 3-DOF haptic rendering, even if computed torques are not displayed to the user. No significant difference could be observed between under-actuated (force only) and fully-actuated 6-DOF feedback in two surgically-motivated tasks.
VCath: A Tablet-Based Neurosurgery Training Tool
Authors: Cenydd Llyr ap  , John Nigel W.  , Phillips Nicholas I.  , Gray William P.
Published: February 2025

VCath is a neurosurgery training tool for the catheterization of the lateral ventricle that has been designed for use on tablet devices. We believe this is the first use of a tablet (iPad) for this purpose and demonstrates future utility for this approach, particularly for Objective Structured Clinical Exams (OSCEs). This paper outlines the implementation and use of VCath.
Development of a Novel Portable Multi-channel Near Infrared Spectroscopy System
Authors: Kostic Marko N.  , Vartanian Tara  , Culjat Martin  , Singh Rahul  , Grundfest Warren S.
Published: February 2025

A novel light-weight multi-channel multi-wavelength ultra-low power near infrared spectroscopy (NIRS) system was designed and tested. The NIRS system was designed for clinical use to emit low power (maximum 5 mW) red and near infrared (NIR) light into human tissue and acquire, record, and display reflected light from various tissue depths. In this paper, results of initial functional tests of the system are presented. Potential clinical applications of the NIRS system include long-term non-invasive monitoring of functional activity in tissues, oxygen consumption in skeletal muscles, and tissue blood perfusion.