bluuebunny/crossref_metadata_2025 huggingface dataset:
Wikipedia Miner Engine: A Re-usable e-Learning Service based on a Virtual MVC Design Pattern
Authors: Cortez Ruth  , Vazhenin Alexander  , Brine John
Published: February 2025

E-Learning platforms are evolving from monolithic applications with a rigid structure that did not allowed for the exchange of tools or components to applications incorporating service orientation concepts as well as facilitating the dynamic discovery and assembling of e-learning services. Accordingly, the usage of support materials to provide additional guidance to students facilitates the comprehension of learning tasks. Wikipedia is one of the richest sources of human knowledge, encompassing a vast range of topics of all kinds of information, and content, which is in constant change due to its collaborative dynamic nature. The Wikipedia Miner provides a code that can parse a given document identifying main topics and link them to corresponding articles or short definitions from the Wikipedia content. In this paper, we discuss the realization of a reusable Wikipedia Miner service for the e-Learning Computational Cloud (eLC2) Platform designed with the J2EE technology and Service-Oriented (V-MVC) model excluding a direct link between the Model and the View. This allows enhancing the Controller as a middleware, removing the dependency and acting as a single point of contact. In the V-MVC design pattern, the Controller is modeled by the compound design pattern of the Enterprise Service Bus (ESB) supporting higher privacy of the business logic and higher re-usability Architecture standards. The eLC2 is also based on an original Virtual Model-View-Controller of application components. In this framework, Wikipedia Miner services were prototyped as an Application Engine that wraps the logic of the Wikipedia Miner API in order to re-use it for different types of applications. Particularly, we are focusing on two applications in order to demonstrate the usability of the proposed approach. The first application is the WikiGloss tool, which is based on a glossing approach to help learners of English-as-second-language with an extensive reading task. The second application is an Intelligent Hints service for a Task Management Environment which provides explanatory links from relevant Wikipedia articles related to topics of the e-Learning task. This allows re-use of the same problems in different task type modes such as lectures, exercises, and quizzes.
Fuzzy Reasoning for Medical Diagnosis based on Type-2 Fuzzy Aggregation
Authors: Fujita Hamido  , Kurematsu Masaki  , Hakura Jun
Published: February 2025

Two types of ontology have been presented to formalize a patient state: mental ontology reflecting the patient mental behavior due to certain disorder and physical ontology reflecting the observed physical behavior exhibited through disorder. The medical knowledge is represented by fuzzy attributes reflected on the medical knowledge. Aggregation function related to physical attributes represented as intuitionistic interval fuzzy weighted ordered average operators. Aggregation functions related to Bonferroni intuitionistic interval fuzzy weighted operators for mental ontology. Fuzzy representation based on these two types of ontology is aligned on medical knowledge for decision making related to medical diagnosis based on pairing function to compute similarity among medical cases. We have constructed an integrated computerized model which reflects a human diagnostician as computer model and through it; an integrated interaction between that model and the real human user (patient) is utilized for 1ststage diagnosis purposes.
Classification and Definitions of Business Logic for End-User-Initiative Development
Authors: Chusho Takeshi
Published: February 2025

The development of Web applications should be supported by business professionals themselves since Web applications must be modified frequently based on their needs. In our recent studies with the three-tier architecture of user interface, business logic and database, the construction of the graphical user interface and the simple database system is supported by using application framework and visual modeling technologies. As for the business logic, however, it is rather difficult to support it by the same way because there are various kinds of business logic. This paper describes the classification of the business logic of Web applications with case studies. These results indicate that the classification of business logic is dependent on how the business logic is expressed. Then, for end-user-initiative development, the business logic should be expressed from the view of the service providers or the support systems instead of the view of the clients. Finally it is confirmed that the template based on the UI-driven approach is useful for requirement specifications of business logic.
Design Of Experiments in a Single Stage Multi Product Kanban System
Authors: Di Micco Raffaele  , Montella Daniela Rita  , Naviglio Giuseppe  , Romano Elpidio
Published: February 2025

In this work, the Design of Experiment (DOE) was applied to a Single Stage Multi Product Kanban System verification. The study was begun with the construction of a simulation model in Arena and continued with the optimization with OptQuest, in relation to the number of kanban cards in a kanban board placed between two stations of a production plant. Eventually, the model was then tested for system robustness verification, using DOE approach. Specifically, the aim of this work is to demonstrate the effectiveness of a methodology that, through the implementation of the DOE analysis, allows identifying those parameters that mostly influence the output of a simulation model previously implemented with ARENA.
Quantitative Model Checking of Knowledge
Authors: Wan Wei  , Bentahar Jamal  , Ben Hamza Abdessamad
Published: February 2025

Model checking, a formal and automatic verification method, has been widely used to check specifications expressed not only as qualitative properties (e.g safety and liveliness), but also as quantitative properties (e.g. degree of reliability and reachability). In this paper, we present a method for probabilistic model checking of multi-agent systems specified by a probabilistic-epistemic logic PCTLK. We define transformations from probabilistic interpreted systems into Discrete-time Markov chains (DTMC) and from PCTLK formulae to PCTL formulae so that we are able to convert the problem of model checking PCTLK to the one of PCTL. The algorithm is implemented in the probabilistic model checker PRISM. Some properties, including agents' probabilistic knowledge, are verified and simulations are shown.
Dynamic User Interfaces for Synchronous Encoding and Linguistic Uniforming of Textual Clinical Data
Authors: Sirel Raul
Published: February 2025

This paper proposes a method for encoding textual clinical data while it is being produced by the practitioners. To perform this task, a prototypical user interface is introduced. The interface uses autocomplete-like technology and frequency distributions of terminology and common clinical phrases to support the author with terminologically and grammatically correct constructs. It is the aim of the suggestions to facilitate the data input process, grammatically and terminologically uniform clinical textual data in order to improve inter-doctor and doctor-patient communication, and encode the entered texts in real time to facilitate machine processing of clinical notes.
Linguistically Motivated Evaluation of English-Latvian Statistical Machine Translation
Authors: Skadiņa Inguna  , Levāne-Petrova Kristīne  , Rābante Guna
Published: February 2025

Statistical machine translation (SMT) is a hot research topic not only for languages with large quantities of parallel language resources available, but also for under-resourced languages, including languages of Baltic countries. Evaluation of SMT systems in Baltic countries is mostly done by using automatic metrics. In this paper we present a linguistic analysis for the output of an English-Latvian SMT system. The main purpose of this study was to obtain a clear understanding of main pitfalls for the current state-of-art SMT systems, classify the main types of errors and analyze possible reasons of these errors.
Simplifying Email Management
Authors: Tamme Tõnu
Published: February 2025

Email is an important source of information. Each day we receive lots of messages—some are related to our work, some are personal, and some are just advertisements. Standard email clients as Microsoft Outlook and Thunderbird, and webmail services as Hotmail and Gmail have little support for relating different messages by topics, or generating summaries of messages. We suggest to use various statistical and frequency methods to improve our email management skills through auto categorization and graph exploration.
Intensity of Estonian Emotional Speech
Authors: Tamuri Kairi
Published: February 2025

Currently the Estonian Emotional Speech Corpus is investigated for the distinctive acoustic parameters of three emotions – anger, joy and sadness – and neutral speech, with a view to recognizable synthesis of emotions in Estonian speech. This article is focused on intensity as one of the parameters vital for emotion synthesis. The research question is whether the intensity of Estonian read speech is in any way affected by emotions. The Estonian Emotional Speech Corpus was used as the acoustic basis of the study. The intensity analysis comprised calculations of the means and ranges of the intensities of emotional and neutral speech. In addition, pairwise studies were applied to find out whether intensity differs across emotions and in comparison with neutral speech in utterance-initial and utterance-final positions. The results revealed that mean intensities make a significant difference between concrete emotions as well as in comparison with neutral speech. The highest intensity was measured in neutral speech and the lowest in the utterances of sadness. Intensity ranges, however, were not significantly different between the utterance groups analysed. Intensity at the beginning and end of utterance was also the highest in neutral speech and the lowest with sadness. Those two groups displayed the only statistically significant differences between the intensities of utterance beginnings as well as ends.
Change of Biomedical Domain Terminology Over Time
Authors: Grigonytė Gintarė  , Rinaldi Fabio  , Volk Martin
Published: February 2025

Biomedical text processing is relying heavily on terminological resources. Independently of the method used for creating terminologies, either automatically extracted from a domain corpus or human crafted, there is one aspect of which is rarely considered – that terms evolve over time. Terms in the domain literature change due to many factors: new factual evidence, proposing new hypothesis or denying old ones, a shift towards increasing specificity, variation in expression, different people working independently on the same novel phenomenon, etc. This paper reports an experimental investigation carried out on biomedical domain literature capturing how specific domain terminology changes over time.
The role of i-Walker in post-stroke training
Authors: Giuliani Benedetta  , Cortés Ulises  , Martínez-Velasco Antonio  , Barrué Cristian  , Annicchiarico Roberta
Published: February 2025

In nowadays aging society, many people require assistance for pedestrian mobility. In some cases, assistive devices require a certain degree of autonomy when the persons' disabilities difficult manual control. Our aim is to develop an open and innovative reference architecture, based upon ontologies and agent services, that will allow plug and play and cost-effective interconnection of existing and new services in all domains required for the independent and autonomous living of the elderly and their enhanced Quality of Life (QoL). We show how the use of a robotic platform with some embedded intelligence the i-Walker, helps to improve and speed-up the performance of the post-stroke individuals' rehabilitation.
First Studies on Self-Preserving Digital Objects
Authors: De La Rosa Josep Lluis  , Olvera José Antonio
Published: February 2025

Digital preservation is typically perceived as operating at the repository level; however, preservation in fact occurs at the object level, so mechanisms are required to enable preservation management for digital objects. Self-preserving objects represent a new, object-centric paradigm for digital preservation. Here, we present a swarm-inspired model for the behaviours of self-preserving objects with backup and format redundancy that are assigned individual and social behaviours with a mission. The mission of these objects is their long-term preservation, which entails being accessible and reproducible by users at any time in the future regardless of frequent technological changes due to software and hardware vendors' upgrades. Numerous experiments with swarm behaviours are performed taking into account the costs of digital preservation. Run for a series of 3 major shifts in software and hardware generations over 20 years was used to evaluate the resilience of the self-preserving digital objects. Our approach behaves promisingly at the preservation regarding minor rates of yearly software adoption.
Using Gabriel graphs in Borderline-SMOTE to deal with severe two-class imbalance problems on neural networks
Authors: Toribio P.  , Alejo R.  , Valdovinos R.M.  , Pacheco-Sanchez J.H.
Published: February 2025

In this paper we propose to use Gabriel graphs on standard Borderline-SMOTE, in order to improve its performance on severe two-class imbalance problem in the artificial neural networks context. The standard Borderline-SMOTE shows two drawbacks: 1) it only takes into account the number of neighbors, so information about prototypes distribution is lost. The global classifiers as neural networks need more information to define the borderline decision. 2) The standard Borderline-SMOTE requires a free parameter to find the borderline samples. The advantage of using Gabriel graphs is that it avoids setting free parameters. Empirical results obtained from experiments on real data sets show that the use of Gabriel graphs in Borderline-SMOTE improve the standard Borderline-SMOTE performance on neural networks.
Viability of Healthcare Service Delivery Alternatives for the Australian Mining Sector
Authors: Williams Patricia A.H.  , Giles Margaret
Published: February 2025

The changing and demanding nature of the mining workforce in rural and remote Australia brings unique challenges to the delivery of healthcare services. In an attempt to control costs whilst delivering cost effective and quality healthcare, new models of delivery must be considered. For a workforce that is fly-in/fly-out, the provision of healthcare is problematic given the lack of consistency in location. A cost-benefit framework is analysed comparing three models of service provision using travel to a major location, locum services and remote health monitoring. Ultimately, new models of care must be considered to address the issues of increasing workforce turnover, to cater for rising healthcare costs, and to improve the health of such communities.
A Proposal to Design a Location-Based Mobile Cardiac Emergency System (LMCES)
Authors: Keikhosrokiani Pantea  , Mustaffa Norlia  , Zakaria Nasriah  , Sarwar Muhammad Imran
Published: February 2025

Healthcare for elderly people has become a vital issue. The Wearable Health Monitoring System (WHMS) is used to manage and monitor chronic disease in elderly people, postoperative rehabilitation patients and persons with special needs. Location-aware healthcare is achievable as positioning systems and telecommunications have been developed and have fulfilled the technology needed for this kind of healthcare system. In this paper, the researchers propose a Location-Based Mobile Cardiac Emergency System (LMCES) to track the patient's current location when Emergency Medical Services (EMS) has been activated as well as to locate the nearest healthcare unit for the ambulance service. The location coordinates of the patients can be retrieved by GPS and sent to the healthcare centre using GPRS. The location of the patient, cell ID information will also be transmitted to the LMCES server in order to retrieve the nearest health care unit. For the LMCES, we use Dijkstra's algorithm for selecting the shortest path between the nearest healthcare unit and the patient location in order to facilitate the ambulance's path under critical conditions.
Semi-Automatic Generation of a Software Testing Lightweight Ontology from a Glossary Based on the ONTO6 Methodology
Authors: Arnicans Guntis  , Romans Dainis  , Straujums Uldis
Published: February 2025

We propose a methodology of semi-automatic obtaining of a lightweight ontology for software testing domain based on the glossary “Standard glossary of terms used in Software Testing” created by ISTQB. From the same glossary many ontologies might be developed depending on the strategy for extracting concepts, categorizing them, and determining hierarchical and some other relationships. Initially we use the ONTO6 methodology that allows identification of the most important aspects in the given domain. These identified aspects serve as the most general concepts in taxonomy (roots in the concept hierarchy). By applying natural language processing techniques and analyzing the discovered relations between concepts, an intermediate representation of lightweight ontology is created. Afterwards the lightweight ontology is exported to OWL format, stored in the ontology editor Protégé, and analyzed and refined by OWLGrEd – an UML style graphical editor for OWL that interoperates with Protégé. The obtained lightweight ontology might be useful for building up a heavyweight software testing ontology.
Modeling Operationalization of Normative Rules in Decision Support for Aircraft Approach/Departure
Authors: Savičienė Laura
Published: February 2025

This work is focused on norm operationalization in aviation domain. The investigated paradigm can be described as: from legal norms to technical rules in the artifact. Normative requirements (norms) for the aircraft trajectories are extracted from the flight rules and airport procedures. These norms are operationalized in a decision support system (DSS). An example of a normative rule: keep 3 degree descent angle while landing and hold restrictions of altitude and geography which are depicted in the approach chart. The decision support is based on evaluation of risk to violate the normative requirement. The following risks are modeled: trajectories' conformance with the flight rules, safe distance between aircraft, wake turbulence separation and avoidance of volcanic ash. The DSS is for the air traffic controller (not pilot)must respond in real time. A DSS system provides surveillanceevaluatesrecommendswhereas the human controller takes a decision.
Research on the Extended Metadata Model of Methodological Digital Resources
Authors: Kubilinskiene Svetlana  , Dagiene Valentina
Published: February 2025

The paper deals with digital resources in education and mainly focuses on the approbation of the extended metadata model of digital learning resources. The extended metadata model has been developed by covering methodological resources and learning objects in order to increase their accessibility and usage in teaching process. The key purpose of methodological resources is to render conditions for teachers in order to share the professional experience and growth, to spread methodological novelties, to help pupils and their parents to use the training and learning process more effectively. Different ways of choosing and combining learning objects oblige teachers first of all to know and estimate them, in line with the requirements posed to the contemporary school. Effective learning resource search and browsing possibilities can be realized only if standardized metadata are used. The metadata are the essential part of information infrastructure which is necessary while establishing order in internet chaos by using descriptions, classifications and structures which are helpful in creating more power and useful information repositories. At the moment the extended metadata model is implemented in the Lithuanian learning object metadata repository prototype. The paper focuses mainly on the results of an experimental approbation of the metadata model.
Formalising a legal opinion on a legislative proposal in the ASPIC
Authors: Prakken Henry
Published: February 2025

This paper presents a case study in which an opinion of a legal scholar on a legislative proposal is formally reconstructed in the ASPIC+framework for argumentation-based inference. The reconstruction uses a version of the argument scheme for good and bad consequences that does not refer to single but to sets of consequences, in order to model aggregation of reasons for and against proposals. The case study is intended to contribute to a comparison between various formal frameworks for argumentation by providing a new benchmark example. It also aims to illustrate the usefulness of two features of ASPIC+: its distinction between deductive and defeasible inference rules and its ability to express arbitrary preference orderings on arguments.
A Model-Based Critique Tool for Policy Deliberation
Authors: Wyner Adam  , Wardeh Maya  , Bench-Capon Trevor  , Atkinson Katie
Published: February 2025

Domain models have proven useful as the basis for the construction and evaluation of arguments to support deliberation about policy proposals. Using a model provides the means to systematically examine and understand the fine-grained objections that individuals might have about the policy. While in previous approaches, a justification for a policy proposal is presented for critique by the user, here, we reuse the domain model to invert the roles of the citizen and the Government: a policy proposal is elicited from the citizen, and a software agent automatically and systematically critiques it relative to the model and the Government's point of view. Such an approach engages citizens in a critical dialogue about the policy actions, which may lead to a better understanding of the implications of their proposals and that of the Government. A web-based tool that interactively leads users through the critique is presented.
Multi-label Classification of Legislative Text into EuroVoc
Authors: Boella Guido  , Di Caro Luigi  , Lesmo Leonardo  , Rispoli Daniele  , Robaldo Livio
Published: February 2025

In this paper we present a novel method for the automatic classification of multi-label text documents. In principle, automatic classification of text is usually tackled by supervised Machine Learning techniques like Support Vector Machines (SVM), that typically achieve state-of-the-art accuracy in several domains. Nevertheless, SVM can not handle multi-labeled documents, thus a specific preprocessing of the data is needed. In this paper we present a novel technique for the transformation of multi-label data into mono-label that is able to maintain all the information, allowing the use of standard approaches like SVM. We then evaluate our system using JRC-Acquis-it, a large dataset of italian legislation that has been manually annotated according to EuroVoc, demonstrating the potential of our approach compared to the current state of the art.
Context-Sensitive Approach to Dynamic Visual Analytics of Energy Production Processes
Authors: Wartiainen Pekka  , Kärkkäinen Tommi  , Heimbürger Anneli  , Äyrämö Sami
Published: February 2025

Data masses require a lot of data processing. Data mining is the traditional way to transfer data into knowledge. In visual analytics, humans are integrated into the process due to continuous interaction between the analyst and the analysis software. Data mining methods can be utilized also in visual analytics, where the priority is given to the visualization of the information and to dimension reduction. However, the provided data is not always enough. There is a large amount of background contextual information, which should be included into the automated process. This paper describes a context-sensitive approach, in which we utilize visual analytics by studying all phases in the process. To observe the process from all points of view, we divide it into three architectural sections: sensing, processing, and actuation. Thanks to the versatility of visual analytics methods, our goal in the future is to apply these methods in the field of energy production in a laboratory-scale power plant.
Cultural and Lingual Awareness for the Global Conceptual Modeling
Authors: Welzer Tatjana  , Jaakkola Hannu  , Družovec Marjan  , Hölbl Marko
Published: February 2025

Present computer science and informatics have to produce IT solutions that are user friendly and in general global appropriate while we are nowadays much more connected to each other as in the past. We are living in multicultural and multilingual societies where the intercultural dialog and cultural awareness are more and more important. With increased mobility, small societies are more multicultural and international, while in the past mostly only big societies with a lot of immigrants have been described as multicultural and multilingual. Internationalization and mobility pushed us to take care about the global conceptual modeling. This entire means that our partners in the modeling process (users and customers) are/could coming from different organizational, cultural and language environments. Consecutive, this can influence theirs way of understanding conceptual modeling, as well as methods, expectations, results and other activities in the process. Even more, this can influence also their understanding of expert topics independent to the fact that we have to do with the common, everyday used topics like counting and banking, known all around the world.
Practical Approach to Real Time Contextual Data Access
Authors: Terho Mikko
Published: February 2025

In this paper, we explain one approach for a real-time solution in a mobile device, which would automatically sense and respond to the context of the consumer. This approach uses bag of words to record the state and context of the device. Using the Experience Matrix device will predict the next states, without a use of a schema, processing of bags of words using the Random Index (RI) algorithm. The index forms an associative storage of data that conveys proper data instruction pairs for the next steps or states. It turned out that this was also a very effective approach to provide real time response and almost static storage requirements. Moreover there was no need for training sequences for learning and recording the context. In this article we explain the overall solution architecture, where a dictionary is the model of the world. The context is specialized by inserting the information from mobile sensors to a bag of words, which is used to record and predict events on the mobile device. The Random Index algorithm is used to recall similar events from past. After recall the consumer is selecting an individual way to continue processing from predicted choices and a new state is entered. We would say that this new approach is a base for activity based computing that could potentially replace current application based paradigm in mobile communication devices. As an example we have implemented a predictive browser that uses the event matrix to predict next pages to be navigated into.
Discussion Session 1.1: Field investigations
Authors: Massarsch K. Rainer
Published: February 2025

The role of field testing is reviewed, considering in particular the geological and geotechnical setting of the European continent. The papers submitted to this session were reviewed. Eurocode 7, 1997 - 2 outlines methods and data evaluation for field testing. Topics of papers of particular relevance to this session are discussed.
Point load testing for classification of porous effusive rocks
Authors: Tommasi P.  , Rotonda T.
Published: February 2025

The choice of the ratio K between the uniaxial compression strength (σf) and the size-corrected point load strength (IS,50) for the estimate of σffrom point load tests can have significant consequences on design issues. Several Authors indicated that K ratio departs significantly from the typical suggested values, especially in weak rocks. Experimental evidences from this study confirm that significant variations of K occur even for the same material. Therefore the recourse to literature data of the K ratio for rock materials similar to those tested is possible only if the dependence of K on physical/textural characters of the rock is accounted for. With reference to a scoriaceous lava with widespread and irregularly distributed macropores, the K coefficient was found to be dependent on porosity n, similarly to other porous rocks, through an inverse (e.g. a negative power-law) function. The relationship was successively extended to the same type of rocks from worldwide, obtaining very low confidence regions for the function exponent. The present results indicate that lithology and texture strongly affect both shear and tensile modes of failure.
3-D analyses of reinforced soils with stone columns & comparison with axisymmetric conditions
Authors: Andreou P.  , Papadopoulos V.
Published: February 2025

Nowadays, because of the time consumption of a detailed three dimensional (3D) calculation, most stone column projects are studied under axisymmetric conditions, such as axisymmetric finite element computations or the well known and established analytical method of Priebe, both of which make use of the axisymmetric theory of unit cell. The objective of this study is to examine and compare the three dimensional response of stone column reinforced soils with the axisymmetric analysis results, in terms of settlement reduction factor, β.
Constitutive aspects of hard soils in excavations
Authors: Maranha J.R.
Published: February 2025

Several aspects of hard soil behaviour deemed relevant and usually ignored in numerical analyses of excavations are addressed. These aspects include plastic anisotropy of strength and stiffness, both inherent and induced, destructuration, strain rate dependency, cyclic loading, strain localization and unsaturated conditions. A point is made for additional research into the influence of these factors into excavation and associated support structures behaviour.
Design and Implementation of Synoptic Operative Report Template Using Interoperable Standards
Authors: Bonney Wilfred  , Christie Sean  , Paterson Grace  , Thibault-Halman Ginette  , Alsulaiman Areej
Published: February 2025

The increasing use of synoptic operative reports in clinical settings represents a major milestone in the advancement of health information technology. Synoptic operative report templates enable clinicians to capture and display succinct clinical information in a standardized and logical manner. Synoptic operative report templates also provide the optimum goal of enriching personalized health information of a given patient at the point of care so as to support the exchange of clinical information across the continuum of multiple healthcare providers. However, most of the available synoptic operative report templates in many clinical settings do not incorporate interoperable standards in their design and implementation. This paper proposes a novice template (i.e., eSOR-SCI) that uses interoperable standards for its design and implementation.
TeMaD System: Telecare for Managing Diabetes in Saudi Arabia
Authors: Alkadi Khulud  , Roudsari Abdul
Published: February 2025

This paper briefly describes the main characteristics of the TeMaD system, developed for the Saudi National Guard Hospital in Riyadh. TeMaD attempts to improve current healthcare services for diabetic patients, and assists healthcare givers in disease management. It strengthens communication channels between patients and their healthcare givers, possibly leading to better health.
Using Simulation to Design Control Strategies for Robotic No-Scar Surgery
Authors: De Donno Antonio  , Nageotte Florent  , Zanne Philippe  , Goffin Laurent  , de Mathelin Michel
Published: February 2025

No-scar surgery, which aims at performing surgical operations without visible scars, is the vanguard in the field of Minimally Invasive Surgery. No-scar surgery can be performed with flexible instruments, carried by a guide under the vision of an endoscopic camera. This technique brings many benefits for the patient, but also introduces several difficulties for the surgeon. We aim at developing a teleoperated robotic system for assisting surgeons in this kind of operations. In this paper, we present a virtual simulator of the system that allows to assess different control strategies for our robot and to study possible mechanical issues.
A Spatial Augmented Reality Rehab System for Post-Stroke Hand Rehabilitation
Authors: Mousavi Hondori Hossein  , Khademi Maryam  , Dodakian Lucy  , Cramer Steven C.  , Lopes Cristina Videira
Published: February 2025

This paper features a Spatial Augmented Reality system for rehabilitation of hand and arm movement. The table-top home-based system tracks a subject's hand and creates a virtual audio-visual interface for performing rehabilitation-related tasks that involve wrist, elbow, and shoulder movements. It measures range, speed, and smoothness of movements locally and can send the real-time photos and data to the clinic for further assessment. To evaluate the system, it was tested on two normal subjects and proved functional.
A Modified Multilevel Scheme for Internal and External Constraints in Virtual Environments
Authors: Arikatla Venkata S.  , De Suvranu
Published: February 2025

Multigrid algorithms are gaining popularity in virtual reality simulations as they have a theoretically optimal performance that scales linearly with the number of degrees of freedom of the simulation system. We propose a multilevel approach that combines the efficiency of the multigrid algorithms with the ability to resolve multi-body constraints during interactive simulations. First, we develop a single level modified block Gauss-Seidel (MBGS) smoother that can incorporate constraints. This is subsequently incorporated in a standard multigrid V-cycle with corrections for constraints to form the modified multigrid V-cycle (MMgV). Numerical results show that the solver can resolve constraints while achieving the theoretical performance of multigrid schemes.
Dynamic Measuring of Physical Properties for Developing a Sophisticated Preoperative Surgical Simulator: How Much Reaction Force Should a Surgical Simulator Represent to the Surgeon?
Authors: Ogata Masato  , Makiyama Kazuhide  , Yamada Takahiro  , Nagasaka Manabu  , Yamanaka Hiroyuki  , Kubota Yoshinobu
Published: February 2025

The acquisition of physical quantities for a living body in surgery is an important and necessary step toward developing a sophisticated preoperative surgical simulator and its validation and navigation. We have developed a multimodal measuring device that minimizes interference with the movements of the surgeon. We conducted nephrectomy surgery using a laboratory animal and successfully acquired physical quantities. From this experiment, we have acquired the following preliminary result. The surgeon feels a gripping force from −3.5 to 4.4N at the handle of the forceps for dissection. We assume that this data is not far from that of a human.
Ambidexterity in Laparoscopic Surgical Skills Training
Authors: Skinner Anna  , Auner Gregory  , Meadors Margaret  , Sebrechts Marc
Published: February 2025

Understanding the way in which specialized medical skills are acquired is critical for developing effective training curricula, as well as effective metrics and methodologies for assessing skill acquisition, proficiency, and retention. Currently, a need exists for novel, objective metrics to support training and assessment of specialized surgical skills, such as those involved in laparoscopy, and to support a deeper understanding of the way in which these skills are acquired and decay during periods of nonuse. Ambidexterity has been identified by expert surgeons as a critical factor in the achievement of laparoscopic psychomotor surgical skill proficiency; however, the current standardized training and assessment protocols do not measure or account for differential performance between the dominant and non-dominant hands. Two experiments compared performance with the left and right hands during training of laparoscopic psychomotor surgical skills using the Fundamentals of Laparoscopic Surgery (FLS) platform, examining the role of ambidexterity in skill acquisition and proficiency. The results of these investigations indicate that degree of ambidexterity in task performance increases with overall task performance improvement and may be related to achievement of task proficiency. Measures that account for degree of task-related ambidexterity may provide useful metrics for assessing laparoscopic surgical skill acquisition, proficiency, and decay.
Reducing Clinical Trial Costs by Detecting and Measuring the Placebo Effect and Treatment Effect Using Brain Imaging
Authors: Anderson Ariana  , Cohen Mark S.
Published: February 2025

Although the placebo effect is known to have a strong impact on the outcomes of clinical trials, methods for measuring it are limited to physiological observations. We propose a method of localizing, identifying and measuring placebo and treatment-induced networks in the brain using functional neuroimaging. Measuring the relative activation of these “placebo” brain networks serves as a proxy for the placebo effect contained within the variable of interest (depression rating, blood pressure, etc). Analogous to the difference between a paired and unpaired t-test, this allows for a sharp gain in power and reduction in the sample sizes needed in clinical trials, potentially leading to a drastically smaller sample sizes for establishing efficacy, a shorter time-to-market for a drug, and a drastic reduction in the cost of bringing new drugs into the market.
Optimized Marker for Template-Guided Intraoral Surgery
Authors: Choi Jin Hyeok  , Kim Youngjun  , Yi Tae-kyoung  , Jung Jekyo  , Kim Yong  , Park Sehyoung
Published: February 2025

Template-guided intraoral surgery is attracting interest due to its accuracy and convenience. Usually, fiducial markers are used for registration of the different model coordinates for patients or plaster and fabrication coordinates in template-guided dental surgery. The accuracy of markers is important because it is directly related to the accuracy of the template-guide, which ultimately affects the success of surgical results. In this paper, we present the methods of determining optimal marker parameters such as size, shape, and material. We have defined parameters that could potentially influence the accuracy of markers and tested them with various values for each parameter. Experiments were performed to measure repeatability, and we tested accuracy and minimized potential error by comparing the actual and calculated dimensions. As a result, the following optimal marker parameters were identified: 3-mm diameter, positively tapered cylindrical shape, and titanium composition.
Comparing the Use of SNOMED CT and ICD10 for Coding Clinical Conditions to Implement Laboratory Guidelines
Authors: Yasini Mobin  , Ebrahiminia Vahid  , Duclos Catherine  , Venot Alain  , Lamy Jean-Baptiste
Published: February 2025

Laboratory medicine is responsible for an important part of hospital expenditure. Providing appropriate decision support to laboratory test requesters at the point of care is one of the main incentives for implementing laboratory guidelines, which can improve medical care. Laboratory guidelines developed by local experts in the Parisian region and two national guidelines for dyslipidemia were analyzed to extract test ordering recommendations. Clinical conditions which can be a trigger to order or not to order laboratory tests were extracted and mapped with ICD10 and SNOMED CT: 43.1% of clinical conditions were matched by ICD10 whereas SNOMED CT covered 80.1% of these conditions. For the non-mapped conditions, the main problem was found to be the ambiguity of the terms used in the guidelines. Ordinal characteristics of some clinical conditions and using terms more specific than SNOMED CT were other causes of mapping failure. Applying consistent and explicit concepts in the development of guidelines would lead to better implementation. By resolving the guideline ambiguity, SNOMED CT is a good choice and covers almost all of the clinical conditions in laboratory guidelines which are needed to implement in a Clinical Decision Support System.
Global Quality Indicators for Primary Care Electronic Patient Records
Authors: De Clercq Etienne  , Moreels Sarah  , Van Casteren Viviane  , Bossuyt Nathalie  , Goderis Geert
Published: February 2025

Electronic Patient Records can be interfaced with medical decision support systems and quality of care assessment tools. An easy way of measuring the quality of EPR data is therefore essential. This study identified a number of global quality indicators (tracers) that could be easily calculated and validated them by correlating them with the Sensitivity and Positive Predictive Value (PPV) of data extracted from the EPR. Sensitivity and PPV of automatically extracted data were calculated using a gold standard constructed using answers to questions GPs were asked at the end of each contact with a patient. These properties were measured for extracted diagnoses, drug prescriptions, and certain parameters. Tracers were defined as drug-disease pairs (e.g. insulin-diabetes) with the assumption that if the patient is taking the drug, then the patient is suffering from the disease. Four tracers were identified that could be used for the ResoPrim primary care research database, which includes data from 43 practices, 10,307 patients, and 13,372 contacts. Moderately positive correlations were found between the 4 tracers and between the tracers and the sensitivity of automatically extracted diagnoses. For some purposes, these results may support the potential use of tracers for monitoring the quality of information systems such as EPRs.
Tolerances optimisation in the mechanical design of components for a medical Linac
Authors: Garlasché M. (Marco)
Published: February 2025

This chapter focuses on the analysis performed by ADAM SAADAM: Application of Detectors and Accelerators to Medicine.
Mobile Agent-based Dynamic Resource Allocation Method for Query Optimization in Data Grid Systems
Authors: Epimakhov Igor  , Hameurlain Abdelkader  , Morvana Franck  , Yin Shaoyi
Published: February 2025

Resource allocation is one of the principal stages of query processing in relational data grid systems. Specific characteristics of the data grid environment, such as dynamicity, heterogeneity and large scale, impose serious restrictions to the resource allocation process. Static resource allocation before the query execution may be far from optimal due to the dynamic changes of the system. One possible optimization is to adjust dynamically the allocation of resources during the query execution. Some methods of dynamic resource allocation have been proposed, however, most of them use centralized control mechanisms. In this study we argue that the decentralized approach meets better the requirements of the data grid systems. In this study we propose a decentralized method of dynamic resource allocation that is based on the mobile agent paradigm. We consider the participating nodes as autonomous and independent elements of the system, each of which can detect if it is overloaded and make the decision to react. Then we consider each relational operation as a mobile agent running on the allocated node, meaning that, it keeps track of its own status and can migrate to another node at any time. A two-level cooperation mechanism between such autonomous nodes and autonomous operations is described in detail. Performance evaluation proves the efficiency of the proposed method.
The Agent-Based Diffusion Model on a Combined Social Network
Authors: Kurahashi Setsuya
Published: February 2025

In this paper, we discuss how neighbours affect consumer behaviour over diffusion of innovation. We propose an agent-based model of diffusion on an online social network, which has both “scale-free” and “regular” properties. The findings of the study are the following points: 1) the informative effect can cause a take-off, but it is not sufficient to reach the completion of diffusion, 2) the combination of the informative and normative effects can easily bring a take-off, 3) the informative effect makes information propagate fast, and so does the normative effect over a network that has characteristics of scale-free and high cluster, 4) the selective approach to low-degree consumers are more efficient to see the complete diffusion.
Travel Routes Flexibility in Transport Systems
Authors: Čapkovič František
Published: February 2025

Because of congestions in traffic a precomputed shortest route (path) of a vehicle from an initial location to a prescribed one cannot be always adhered. In such a case it is necessary to change it flexibly. However, to save cost the new route should be chosen in virtue of prescribed rules. The place/transition Petri nets, more precisely its simpler kind named as state machines (SM), is utilized here to model the real structure of the possible routes area. An algorithm for finding the least-cost firing sequence of SM transitions is proposed. To extend the approach on adjacent areas the agent-based approach is drawn too.
Supporting Sum Range Queries on Remote Spatial Databases Using k-Nearest Neighbor Search
Authors: Sato Hideki  , Narita Ryoichi
Published: February 2025

Supporting aggregate range queries on remote spatial databases suffers from 1) huge and/or large number of databases, and 2) limited type of access interfaces. This paper proposes Regular Polygon based Search Algorithm (RPSA) to overcome these difficulties. RPSA requests a series of k-NN queries to obtain approximate aggregate range query results. The query point of a subsequent k-NN query is chosen among vertices of a regular polygon inscribed in a before-searched circle. Experimental results on sum range query search show that Precision is over 0.99 for uniformly distributed dataset, over 0.97 for skew-distributed dataset, and over 0.97 for real dataset. Also, Number of Requests (NOR) ranges between 3.1 and 3.9, between 3.4 to 4.3, and between 2.7 and 3.7, respectively.
Kansei Engineering in Education
Authors: Encheva Sylvia
Published: February 2025

The concept category score has been introduced few years ago with the intention of emphasizing customers' preferences in Kansei engineering. Its definition implies equal sizes of all groups of participants stating their preferences. In order to use the concept in a more general way, i.e. when the involved groups of participants expressing preferences are of different sizes we introduce size coefficients.
Detecting Natural Disaster Events on Twitter across Languages
Authors: Zielinski Andrea
Published: February 2025

Social media such as Twitter can act as a human sensor network for real-time event detection and recently has been extensively exploited for crisis management. However, little attention has been paid to applying text mining and NLP techniques to monitor events in a multilingual setting and most of the work focusses on one single language only. This paper investigates a unified framework for detecting natural disaster events on twitter across a variety of languages, and is embedded into a larger system for real-time decision support for Natural Crisis Management. This work presents the results achieved in classifying tweets in various languages. Among the four ML classifiers we evaluated for each language, the Random Forest classifier produces the best results, achieving on average 85.02% accuracy for known languages. We also bootstrapped classifiers for unknown languages by cross-language text classification. In this case, the average accuracy drops to 66.64% for the Random Forest classifier. Our results based on a specific test scenario indicate that for a timely detection of an earthquake event it is important to consider the distribution of languages spoken at the location of the event.