bluuebunny/crossref_metadata_2025 huggingface dataset:
Applying Task Analysis to Describe and Facilitate Bioinformatics Tasks
Authors: Tran Dat  , Dubay Christopher  , Gorman Paul  , Hersh William
Published: February 2025

Objective: To document bioinformatics tasks currently performed by researchers in genomics and proteomics in an effort to recognize unmet informatics needs and challenges, identify system features that would enhance the performance of those tasks, and inform the development of new bioinformatics tools. Design: A cross-sectional study of bioinformatics tasks performed by OHSU investigators involved in genomics and proteomics research was conducted using task analysis techniques. Results: Four major categories emergedfrom 22 bioinformatics tasks reported by 6 research laboratories. These were: 1) gene analysis, 2) protein analysis, 3) biostatistical analysis, and 4) literature searching. Analysis of the data also raised the following challenging issues: 1) lack of procedural documentation, 2) use of home-grown strategies to accomplish goals, 3) individual needs and preferences, and 4) lack of awareness of existing bioinformatics tools. Conclusion: Task analysis was effective at documenting bioinformatics tasks performed by researchers in the fields of genomics andproteomics, at identifying potentially desirable system features and useful bioinformatics tools, and at providing a better understanding of some of the unmet needs and challenges faced by these researchers.
Biologically Inspired Cognitive Architectures: One More Step Forward
Authors: Jóhannsdóttir Kamilla R.  , Samsonovich Alexei V.
Published: February 2025

This chapter provides a brief overview of the volume of BICA 2011 Proceedings, viewed in the broader context of recent emergent developments in the field of BICA. The present conference is the fourth event in the BICA conference series, and the Second Annual Meeting of the BICA Society. In addition to being a guide to the book, this chapter provides a general overview of the field of BICA, and is recommended to anybody who wants to learn about the field by reading this book.
Biologically inspired feature creation for multi-sensory perception
Authors: Rohrer Brandon
Published: February 2025

Automatic feature creation is a powerful tool for identifying and reaching goals in the natural world. This paper describes in detail a biologically-inspired method of feature creation that can be applied to sensory information of any modality. The algorithm is incremental and on-line; it enforces sparseness in the features it creates; and it can form features from other features, making a hierarchical feature set. Here it demonstrates the creation of both visual and auditory features.
Connecting Cognitive and Neural Models
Authors: Rothganger Fredrick  , Warrender Christina  , Speed Ann  , Rohrer Brandon  , Bier Asmeret  , Trumbo Derek
Published: February 2025

A key challenge in developing complete human equivalence is how to ground a synoptic theory of cognition in neural reality. Both cognitive architectures and neural models provide insight into how biological brains work, but from opposite directions. Here the authors report on initial work aimed at interpreting connectomic data in terms of algorithms. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.
Cognitive control as a gated cortical net
Authors: Sylvester Jared C.  , Reggia James A.  , Weems Scott
Published: February 2025

We present a cortical model of cognitive control based on attractor networks, correlational learning, and gating. Our model does not make use of production rules or local representations. It is capable of completing a demonstration task requiring adding to and examining working memory. The architecture used is easily generalizable to other tasks.
Physiological Model-Based Decision Making on Distribution of Effort over Time
Authors: Treur Jan
Published: February 2025

This paper focuses on a human-like agent model that describes how in high load tasks physiological effort relate to exhaustion and feeling fatigue, and this is used as a form of monitoring the agent's remaining resources. More specifically, it is addressed how based on such an agent model anticipatory model-based decision making can take place in order to obtain an appropriate distribution of effort over time.
Comparative Analysis of Implemented Cognitive Architectures
Authors: Samsonovich Alexei V.
Published: February 2025

This short work is a follow-up on the review of the online Comparative Table of Cognitive Architectures, published in the BICA 2010 Proceedings. While the original review listed architectures and their features in one uniform format, the primary goal here is to go through feature-by-feature comparison across architectures and to see what features are shared, unique or missing in particular cases, in hope to understand what is needed in order to make a leap forward. This analysis is followed by consideration of the universal learner critical mass problem.
Multiscale Entropy Analysis of Artifactual EEG Recordings
Authors: Labate Domenico  , La Foresta Fabio  , Inuso Giuseppina  , Morabito Francesco C.
Published: February 2025

Electroencephalographic (EEG) recordings are employed in order to investigate the brain activity in neuropathological subjects, but unfortunately EEG are often contaminated by artifacts, signals that have no-cerebral origin and therefore distort the EEG analysis. We know that entropy measures reflect the degree of order/disorder of the EEG signal, so that is represents a good instrument for artifacts detection. In this paper we propose a multiresolution analysis, based on EEG wavelet processing, to extract cerebral EEG rhythms. The novelty of this paper is to apply the Wavelet Entropy method not only to Shannon Entropy formulation, but also to Rényi Entropy and Tsallis Entropy formulation in order to characterize the functional dynamics of EEG signal.
Facial Expressions And Eye Gaze: Fundamental Cues For Social Interactions
Authors: Trojano Luigi  , Ponari Marta  , Conson Massimiliano
Published: February 2025

We, as humans beings, draw inferences about others' emotions, intentions, and state of mind to deduce their mental states and intentions. Analogously, by observing where other individuals gaze at, we grasp their focus of interest as we know that people tend to look at what they like and look away from what they dislike.
SpiNNaker: Distributed Computer Engineering for Neuromorphics
Authors: Lester David  , Furber Steve
Published: February 2025

SpiNNaker is a biologically-inspired massively-parallel computer architecture optimized specifically for modeling large-scale systems of spiking neurons in biological real time. The biological inspiration is manifest in the lightweight inter-processor communications architecture, which enables a “spike” generated by a neuron modeled on one processor to be transmitted to all of the processors modeling neurons that the source neuron connects to in zero biological time (which we take to be a time much less than a millisecond). The design of such a machine is based upon achieving a balance between the processing power required to execute the neuron and synapse models, the memory hierarchy required to maintain neuron and synapse state sufficiently close to the respective processor, and a communications infrastructure that can meet the latency and bandwidth constraints of the target application.
Interfacing an AER Vision Sensor with a Tactile Display: a Proposal for a New Haptic Feedback Device
Authors: Motto Ros Paolo  , Pasero Eros
Published: February 2025

In this paper we propose a new haptic feedback device, based on a graphical tactile display and an AER (Address-Event Representation) dynamic vision sensor. The goal is to enable visually impaired people to capture information from the surrounding environment. Following the sensory substitution concept, this device aims to transform dynamic visual features into tactile stimulations.
Clustering of Hybrid Events at Stromboli Volcano (Italy)
Authors: Esposito Antonietta M.  , D'Auria Luca  , Giudicepietro Flora  , Longobardi Mariantonietta  , Martini Marcello
Published: February 2025

The last effusive eruption on February 27, 2007 at Stromboli volcano was characterized by the occurrence of a particular typology of seismic events named “hybrids”. During March about 4000 of these signals were recorded, and three main swarms happened: the first one on days 6-8, with more than 1200 events; the second one on day 20, with more than 400 events; and the third one on day 22, with about 600 events. The study of these events and specifically their location is the main purpose of this work because it not only characterizes a particular aspect of the 2007 effusive eruption but at the same time can improve the understanding of the eruptive processes of the volcano. Thus, in order to locate them it was first necessary to group the signals according to their waveform similarity and then apply relative location techniques on individual families. To perform the clustering an unsupervised SOM neural network was used. This technique is capable of working without any “a-priori” information about data distribution and structure. Its results have revealed differences in the families of events recorded during and between the swarms, underlying from a volcanological point different locations or source mechanisms of the involved structures. Moreover, they have shown to be consistent compared to those obtained by applying the Hierarchical Clustering technique. However, in contrast to the latter, the SOM clustering does not critically depend on its parameters and allows for an easier result visualization and interpretation.
Topological Information, Flux Balance Analysis, and Extreme Pathways Extraction for Metabolic Networks Behaviour Investigation
Authors: Vitabile S.  , Conti V.  , Lanza B.  , Cusumano D.  , Sorbello F.
Published: February 2025

In recent years biological processes modeling and simulation have become two key issues in analyzing complex cellular systems. Information about metabolic networks is often incomplete, since a large portion of available data is ignored by its probabilistic nature. The main objective of this work is to investigate metabolic networks behavior in terms of their fault tolerance capabilities as random node removal and high-connectivity-degree node removal aimed at affecting network activities. The paper proposes a software framework, namely CEllDataLaB, based on three techniques to perform the structural and functional analysis of a metabolic network: topological analysis, flux balance analysis and extreme pathways analysis. The degradation of proteins into aminoacids metabolic network has been used to validate the implemented investigations strategies. The performed trials have shown that the node connectivity degrees as well as the node functional role in the network are key issues to evaluate the impact of node deletion on network behavior and activities.
Author Attribution in US Supreme Court Decisions
Authors: Pfeifer Craig
Published: February 2025

This short paper establishes a baseline for author attribution in the domain of US Supreme Court decisions. It also examines the contribution of four different kinds of features and the size/accuracy tradeoffs that can be made.
A Comprehensive Free Access Legal Information System for Europe
Authors: Greenleaf Graham  , Peruginelli Ginevra
Published: February 2025

Starting from 2000 a group of organizations became known collectively as “legal information institutes” or “LIIs” have actively worked at promoting the publication of legal information from more than one source (not just “their own” information) for free access via the Internet, in an effort to mutually collaborate both politically and technically. At European level few government-operated portals provide multi-jurisdictional access to legal information. As a consequence, the need is growing for an integrated and distributed platform for accessing EU Member States and European institutions' legal content. The paper presents a new initiative called “EuroLII”, as an umbrella project capable to give comprehensive free access to legal information in Europe, by providing a single search facility for databases hosted in European legal information institutes.
Online Access to UK Legislation: Strategy and Structure
Authors: Tullo Carol
Published: February 2025

Legislation on the web gives rise to a unique set of challenges. The content is of a formal nature with strict rules governing its structure and typographic layout. One piece of legislation can change others, often in complex ways. The text may or may not be in force and may or may not extend to a particular jurisdiction. Yet many users of legislation online, especially those not legally trained or qualified, will assume that legislation is both current and in force simply because it is on the web and available from an official source. This paper sets out the approaches, strategies and technologies that address these challenges for legislation.gov.uk, the UK's official legislation website developed by The National Archives.
Access to Documents in the EU Law
Authors: Donati Filippo
Published: February 2025

This paper outlines the approach set down by the EU law with respect to the access to legal documentation also taking in due consideration the EU Court of Justice perspective. Specifically the author starts from the analysis of the effective existence of the right of access in the Italian legal system. Then the scope of the right of access to the documents of the European institutions is analyzed in order to understand whether this model can be invoked to overcome some restrictions that still characterize the right of access in the Italian legal system.
Interactive Data Extraction from Semi-Structured Text
Authors: Broman Per  , Thalheim Bernhard
Published: February 2025

Designing a tool for data extraction from semi-structured and unstructured text, we are confronted with a problem that has largely been neglected by scholars so far: What if we need to find matches for several different patterns in a document and there are no keywords to support the search? And if so, what if the same section matches several different patterns or if matches in part overlap? How can we decide which one to pick? We suggest that this is an important problem in data extraction and propose a solution based on a token classification system and weighted finite-state automata.
Computing Perspective in Dialogue
Authors: Hausser Roland
Published: February 2025

A computational reconstruction of communication in dialogue requires not only an analysis of language expressions, but of utterances. In DBS, an utterance is defined as (i) a propositional content and (ii) a cluster of pointers called STAR. The STAR serves to anchor a content to the interpretation's parameter values of Space, Time, Agent, and Recipient. The STAR also provides the referents for a certain kind of sign in natural language, namely the indexical.
A Term-based Cross-Cultural Computing System for Multilingual Analysis with Phonological-Semantic Vector Spaces
Authors: Suhardijanto Totok  , Barakbah Ali Ridho  , Kiyoki Yasushi
Published: February 2025

This paper proposes a cross-cultural computing system that deals with multilingual analysis. This system focuses on a cultural aspect comparison that is based on linguistic basic elements. The most important task of our system is to realize a cross-cultural computation in the framework of correlation computation by using vectorized numeric data that express cultural aspects in some concepts and objects with regard to speech sounds.
Graph-based Consumer Behavior Analysis from Buzz Marketing Sites
Authors: Hashimoto Takako  , Kuboyama Tetsuji  , Shirota Yukari
Published: February 2025

This paper proposes a method to discover consumer behavior from buzz marketing sites. For example, in 2009, the super-flu virus spawned significant effects on various product marketing domains around the globe. Using text mining technology, we found a relationship between the flu pandemic and the reluctance of consumers to buy digital single-lens reflex camera. We could easily expect more air purifiers to be sold due to flu pandemic. However, the reluctance to buy digital single-lens reflex cameras because of the flu is not something we would have expected. This paper applies text mining techniques to analyze expected and unexpected consumer behavior caused by a current topic like the flu. The unforeseen relationship between a current topic and products is modeled and visualized using a directed graph that shows implicit knowledge. Consumer behavior is further analyzed based on the time series variation of directed graph structures.
User Preference Learning in Real Systems – from Events to Processes
Authors: Eckhardt Alan  , Vojtáš Peter
Published: February 2025

In this paper we summarise our acquaintance with preference learning after a series of papers - presenting models, algorithms and experiments with preference learning in e-shop environment. We recall some achievements, several observations and problems left, together with thorough description of the preference learning. We conclude with our future plans.
A Service-Oriented Framework for Personalized Recommender Systems Using a Colour-Impression-Based Image Retrieval and Ranking Method
Authors: Šaša Ana  , Kiyoki Yasushi  , Kurabayashi Shuichi  , Chen Xing  , Krisper Marjan
Published: February 2025

This paper points out that achievements in the field of multimedia analysis and retrieval represent an important opportunity for improvement of recommender system mechanisms. Online shopping systems use various recommender systems; however a study of different approaches has shown that they do not exploit the potential of information carried by multimedia product data for product recommendations. We demonstrate how this can be accomplished by a personalized recommender system framework that is based on a method of analysis of colour features of entity images. Colour-features are based on image colour histograms, psychological properties of colours and a learning mechanism. We have developed a service-oriented framework for a personalized recommender system that is based on incorporation of this method into a highly interactive business process model. The framework is designed in a generic way and can be applied to an arbitrary domain. It is based on service-oriented architecture in order to promote its flexibility and reuse, which is important when applying it to existing recommender system environments. An experimental study was performed for the domain of travel agency. The framework provides several important advantages, such as automatic creation of entity image meta-data which is based on colour-based image analysis and extraction of their semantic properties, user-interaction based learning, dynamic selection and presentation ordering of entity images, and feedback for creation of base image entity sets.
Potential of the Navigated Controlled Surgery at the Lateral Skull Base with the Navigated Control Unit (NCU 2.0)
Authors: Hofer Mathias  , Lueth Tim  , Dietz Andreas  , Strauss Gero
Published: February 2025

Segmentation for navigated control was in the first generation very time consuming. In the present version (NCU 2.0) the risk structure is segmented (instead of the work space), this leads to an enormous decrease in preparation time. In additional, new safety functions were integrated. The segmentation feasibility was tested on patient data and proved to be successful. The automatic stop function was tested on petrous bone models and showed no damage to the facial nerve.
Nasotracheal Intubation in a Difficult Airway using the Storz C-MAC Videolaryngoscope, the Boedeker Bougie Endotracheal Introducer, and the Boedeker Curved Forceps
Authors: Nicholas IV Thomas A.  , Bernhagen Mary A.  , Boedeker Ben H.
Published: February 2025

Airway management has multiple indications for nasotracheal intubation. In this study, we focus on its indication in difficult airways. This work describes a modified procedure of nasotracheal intubation using the new Storz CMAC® Videolaryngoscope, the malleable Boedeker Bougie and the curved Boedeker Forceps in the intubation of a difficult airway manikin.
A Comparison of an Integrated Suction Blade versus a Traditional Videolaryngoscope Blade in the Endotracheal Intubation of a Hemorrhagic Cadaver Model – A Pilot Study
Authors: Wadman Michael  , Nicholas Thomas A.  , Bernhagen Mary A.  , Kuper Gail M.  , Miljkovic Nikola  , Schmidt Steven  , Massignan Jason  , Boedeker Ben H.
Published: February 2025

In this pilot study, we evaluated two types of videolaryngoscope blades (integrated suction vs. traditional) with the Storz CMAC videolaryngoscope in the intubation of a lightly embalmed hemorrhagic cadaver model. No significant differences were found between the devices in the success rates for the intubations. The study subjects indicated a preference for the integrated suction blade in hemorrhagic airway intubation.
The Future of Aviation – A Joint European Effort
Authors: Gallego Rafael
Published: February 2025

‘Indra’, the Spanish IT leading company, committed to the EU programmes and SESAR in particular, is playing a leading role among the ground industry manufacturers in the domain of Air Traffic Management (ATM) and Airport technologies. Three elements have to be reinforced: cooperation between ANSPs (Air Navigation Service Providers) and ground technology suppliers, collaboration between ANSPs in major developments, partnership between the public sector and the industry.
Surgical Treatment For Scoliosis Associated With Rare Disease
Authors: Greggi T.  , Lolli F.  , Maredi E.  , Di Silvestre M.  , Martikos K.  , Vommaro F.  , Giacomini S.  , Baioni A.  , Cioni A.
Published: February 2025

This is a retrospective study of 11 patients, 7 females and 4 males, treated at Our Department for an early onset scoliosis (EOS) associated with rare syndromes with growing spinal implants (Growing Rod or VEPTR-like) from 2006 to 2011. Mean follow-up was 24 months (range, 12 to 36). The mean age at surgery was 7. Patients were affected by Escobar's syndrome (1), scoliosis associated to congenital heart disease (1), Arnold Chiari type 1 (1), syringomyelia (1), NF 1 (2), Prader-Willi syndrome (1), trisomy 8 (1), arthrogryposis (2) and spondylo-rib dysplasia (1). Each patient was studied from the genetic point of view, and were performed: brain-spine MRI, pulmonary function tests, Cardio-US and abdominal US, neuropsychiatric and neurological evaluation, C0-C2 CT scan. After first implant and lengthening procedures (11), the correction of the thoracic curve averaged 50%. Unfortunately, a little loss of correction of the lumbar curve occurred during the follow up. There were 8 post-operative complications, that required revision surgery in 2 cases. Our results confirmed the effectiveness and safety of growing spinal implants in the treatment of early-onset scoliosis in rare syndromes.
Complications incidence in the treatment of early onset scoliosis with growing spinal implants
Authors: Greggi T.  , Lolli F.  , Di Silvestre M.  , Martikos K.  , Vommaro F.  , Maredi E.  , Giacomini S.  , Baioni A.  , Cioni A.
Published: February 2025

Early onset scoliosis (EOS) surgery based on growing spinal implants can lead to several complications. Aim of the study was to identify strategies to prevent those complications. A retrospective review was conducted to identify all pediatric patients affected by EOS surgically treated with growing rod or Vertical Expandable Prosthetic Titanium Rib (VEPTR) at our division between 2006 and 2011. Nineteen consecutive patients (8 males, 11 females; mean age 6.8 years) were included. The scoliosis was: idiopathic in 7 cases, congenital in 5, associated with congenital heart disease in 2, with syringomyelia and Arnold Chiari syndrome in 1, with neurofibromatosis type 1 (NF1) in 1, with Prader Willi syndrome in 1, with trisomy 8 in 1, with arthrogryposis in 1. Instrumentation used was: growing rod in 9 patients (dual rod construct in 8 cases, single rod in 1), VEPTR in 10 (always rib to spine construct). At a mean follow-up of 28 months (range, 12 to 55) 12 mechanical complications occurred in 8 of 19 patients treated (42.1%). Among cases treated with growing rod (9) 6 complications occurred in 4 patients (44.4%): revision was performed in 4 cases due to proximal anchors migration, in 2 cases due to a rod breakage. Among cases treated with VEPTR (10) 6 complications occurred in 4 patients (40%): revision was performed in 4 cases due to rib fracture with anchors migration, in 1 case due to vertebral anchor migration and in 1 case due to proximal and distal anchor migration. So, in our series mechanical complications rate was 42.1%. Our strategy to prevent these complications is to use hooks as proximal anchors, to avoid single rod construct and to use a brace as external support until final surgery is performed. If it's possible, is better to substitute VEPTR with a dual Growing Rod implant when patient's age and anatomy permits this.
Characteristics of patients with more than 20° of improvement or worsening during conservative treatment of adolescent idiopathic scoliosis
Authors: Negrini Stefano  , Donzelli Sabrina  , Lusini Monia  , Zaina Fabio
Published: February 2025

Introduction. Since the beginning of history of Medicine, it has been possible to learn from the worst and best results of treatments. Our aim was to verify which patients can reach the best and worst results during conservative treatment. Methods. All AIS patients with more than 2 visits included in a prospective clinical database started in September 2003 were reviewed on August 31st2010. A cut-off of 20 degrees (improvement or worsening) from the first observation was used to select patients. Patients were analysed for diagnosis, morphology, Cobb degrees at start, curve improved/worsened, treatment, gender, Body Mass Index, clinical parameters. Results. Out of 1886 consecutive patients, 62 (3.3%) changed 20° or more: 26 (1.4%) improved (range 20-34°), 36 (1.9%) progressed (20-60°). Relative Risk of progression of 20° or more was increased more than 10 times in cases of thoracic curve or secondary scoliosis, 5 times for Moe scoliosis and BMI <15 kg/mq, 3 times for age <12 years, and congenital or juvenile scoliosis. Relative Risk of improvement of 20° statistically was increased more than 3 times in cases of previous exercises, female gender, thoracolumbar curve or scoliosis, ISICO treatment, and age <12 years. Conclusion. Not all our results correspond to the usually reported prognostic factors in ample case series, but it must be taken into account that only wide variations (20° or more) have been considered here. In this population we had 1.9% of patients who improved at least 20° with conservative treatment, and this is notable as well. Finally, since these results are not similar to what would be expected according to the known natural history, conservative treatment appears able to change it.
User Experiences of Mobile Controlled Games for Activation, Rehabilitation and Recreation of Elderly and Physically Impaired
Authors: Sirkka Andrew  , Merilampi Sari  , Koivisto Antti  , Leinonen Markus  , Leino Mirka
Published: February 2025

The purpose of this paper was to study how aged people experience mobile controlled game as a method of rehabilitation and recreation. The target group contained persons 70+ years of age living in assisted living conditions (N=34). The average age of the participants was 85.9 years. Women (n=17) and men (n=17) were equally presented in the sample group. Only 12 % (n=4) of participants were involved in an active weekly-based rehabilitation, light physical sitting exercises 38% (n=13). Three (n=3) of the participants (9%) used computers (net banking), and 20 (59%) used mobile phones on daily basis. Social activities and physical activation seem to be rather inadequate and traditional in assisted living organizations. The overall experiences of mobile controlled game described in this paper appeared to be a successful experiment also proving that the elderly are not as reluctant to use technical devices or playing virtual games as often thought. The game was reckoned very motivating, interesting, and entertaining both by the aged and the staff. Activation, rehabilitation and recreation in the elderly homes or assisted living organizations could benefit from utilization of new technology providing new ways and solutions that motivate the users and offer also possibilities for measuring and follow-up of the physical impacts. The future goals to improve the game were set according to the feedback given in this survey: a) wider variety of controlling modes for the game, b) developing various difficulty levels, c) developing the game to support different kinds of body movements, d) easily modified according to the individual user's exercising or rehabilitation needs as well as e) emphasizing the social aspects of the game by producing multiplayer versions.
Embedding Business Intelligence Systems within Organisations
Authors: Shanks Graeme  , Bekmamedova Nargiza  , Adam Frederic  , Daly Mary
Published: February 2025

Embedding business intelligence systems within organisations requires a seamless integration of technology, business processes and routines into the fabric of the organisation. In this paper, we propose a set of five dimensions for embeddedness of business intelligence systems within organisations. We argue that these dimensions can be related to different types of problem. We then present four case studies and a number of key insights emerge from a cross case analysis.
Fusing Decision Support into the Fabric of Healthcare to Prevent Medication Errors
Authors: Phillips-Wren Gloria  , McKniff Sueanne
Published: February 2025

Medication errors are causing harm, and even death, to hospital inpatients. These preventable errors occur at the hands of the same individuals who are charged to protect and provide care to patients – healthcare professionals. While decision support technologies are available to assist healthcare providers, patients continue to experience incorrect medications, inaccurate doses/rates of medication, duplicate doses, medication interactions, and other medication errors. This paper proposes that a fusion view can provide guidance to increase the use of decision support technologies by healthcare professionals within the hospital environment to reduce medication errors and improve patient care. A case study of a hospital in the United States is used to illustrate reasons for the lack of use of existing systems and the potential of fused decision support technologies.
A System To Integrate Unstructured And Semistructured Information Resources: An Application In An Innovation Design Process
Authors: Norese Maria Franca  , Novello Chiara  , Salassa Fabio
Published: February 2025

A system that integrates different tools, ranging from multi-criteria analysis and mathematical programming to cognitive and social psychology, is proposed to cope with the complexities and uncertainties that generate criticality in the socio technical approach. The purpose of this paper is to examine the potentialities of this system, above all in terms of information fusion and use in various contexts, and to propose an application in relation to an industrial project, in order to support the conceptual phase of the design process.
EEG data compression to monitor DoA in telemedicine
Authors: Palendeng Mario E.  , Zhang Qing  , Pang Chaoyi  , Li Yan
Published: February 2025

Data compression techniques have been widely used to process and transmit huge amount of EEG data in real-time and remote EEG signal processing systems. In this paper we propose a lossy compression technique, F-shift, to compress EEG signals for remote depth of Anaesthesia (DoA) monitoring. Compared with traditional wavelet compression techniques, our method not only preserves valuable clinical information with high compression ratios, but also reduces high frequency noises in EEG signals. Moreover, our method has negligible compression overheads (less than 0.1 seconds), which can greatly benefit real-time EEG signal monitoring systems. Our extensive experiments demonstrate the efficiency and effectiveness of the proposed compression method.
We are not educating the future clinical health professional workforce adequately for e-health competence: Findings of an Australian study
Authors: Dattakumar Ambica  , Gray Kathleen  , Henderson Kerryn-Butler  , Maeder Anthony  , Chenery Helen
Published: February 2025

This paper reports on a national study of the present approaches in Australian tertiary education, to preparing future clinical health professionals to work competently in an increasingly e-health enabled healthcare sector. The argument for increasing clinical health professionals' knowledge about e-health and health informatics has been advanced repeatedly over past decades in Australia and elsewhere. However, peer-reviewed accounts of good practice in implementing and evaluating e-health education in health profession degrees anywhere are scarce. Our study reports on surveying approximately 100 degree coordinators in 40 clinical health professions in 30 universities across Australia. It finds that currently, teaching and assessment of future clinical health professionals does not ensure that Australia will have a clinical workforce that is adequately professionally empowered to work with e-health. This paper provides important baseline data for planning improvements to e-health education for Australia's future clinical health professionals.
Ontology Content “At A Glance”
Authors: Coskun Gökhan  , Rothe Mario  , Paschke Adrian
Published: February 2025

In the field of software engineering component-based development and appropriate documentation are established methods to support reuse. While modular development is tackled in various work regarding ontology engineering, it is an open problem how documentation of ontologies should be created. After analyzing existing ontology documentations we identified grouping concepts as a very helpful technique to simplify the understandability and thus improve the reusability of ontologies. In this paper, we present a technique to group concepts for ontology documentation by applying community detection algorithms on the graph structure of ontologies. Using the manually created concept groups from existing documentations as reference we demonstrate that this technique is able to create appropriate concept groups automatically.
Interactive Semantic Feedback for Intuitive Ontology Authoring
Authors: Denaux Ronald  , Thakker Dhaval  , Dimitrova Vania  , Cohn Anthony G.
Published: February 2025

The complexity of ontology authoring and the difficulty to master the use of existing ontology authoring tools, put significant constraints on the involvement of both domain experts and knowledge engineers in ontology authoring. This often requires substantial effort for fixing ontologies defects (e.g. inconsistency, unsatisfiability, missing or unintended implications, redundancy, isolated entities). The paper argues that ontology authoring tools should provide immediate semantic feedback upon entering ontological constructs. We present a framework to analyse input axioms and provide meaningful feedback at a semantic level. The framework has been used to augment an existing Controlled Natural Language-based ontology authoring tool – ROO. An experimental study with ROO has been conducted to examine users' reactions to the semantic feedback and the effect on their ontology authoring behaviour. The study strongly supported responsive intuitive ontology authoring tools, and identified future directions to extend and integrate semantic feedback.
Probability assignments to dispositions in ontologies
Authors: Barton Adrien  , Burgun Anita  , Duvauferrier Régis
Published: February 2025

We investigate how probabilities can be assigned to dispositions in ontologies, building on Popper's propensity approach. We show that if D is a disposition universal associated with a trigger T and a realization R, and d is an instance of D, then one can assign a probability to the triplets (d,T,R) and (D,T,R). These probabilities measure the causal power of dispositions, which can be defined as limits of relative frequencies of possible instances of T triggering an instance of R over a hypothetical infinite random sequence of possible instances of T satisfying certain conditions. Adopting a fallibilist methodology, these probability values can be estimated by relative frequencies in actual finite sequences.
Problems of a Method for Estimating SEAC and EAC by Earned Value Analysis
Authors: Chiba Ryota  , Shirakawa Kiyomi  , Mori Kazuki  , Komiya Seiichi
Published: February 2025

A lot of whether or not a software project is successful depends on management capability of project managers. Therefore, EVA (Earned Value Analysis) has received a lot of attention recently as a method for managing a project in an integrated fashion by introducing a unified metric called EV (Earned Value) and quantitatively measuring and analyzing the cost and schedule of a project. Project managers can use EVA to estimate SEAC (Schedule Estimate At Completion) and EAC (Estimate At Completion). However, there are several constraints inherent in a software development plan, and any software development plans have to satisfy the constraints. Therefore, SEAC and EAC are estimated by using EVA and by taking account of the constraints,, and the estimation result by the former is compared with the estimation result by the latter. As a result, it turns out that EVA quite often generates inaccurate estimations for SEAC and EAC. In this way, this paper clarifies problems of a method for estimating SEAC and EAC by EVA.
Proposal of Analysis Method using Conceptual Data Modeling and Theory of Constraints
Authors: Sakai Takamasa  , Nakagawa Takahiro  , Kaneda Shigeo
Published: February 2025

A business modeling tool called Conceptual Data Modeling (CDM) was proposed by the MASP Association in Japan. This tool creates a diagram called the “Organization Model.” This diagram shows information flow between organizations, and derives ideal state. However, the diagram doesn't have business details, quantitative data and qualitative data. Therefore, it is difficult for a person without business knowledge to derive ideal state. This paper proposes a new analysis method using CDM and Theory of Constraints (TOC). In particular, “Assumptions” obtained by the Conflict Resolution Diagram (CRD) of TOC are mapped to the Organization Model. By the proposed method, we can derive many candidates in greater depth for business process engineering, compared with the conventional CDM.
Knowledge acquisition for the further development of e-Government
Authors: Theoharis Stamatios  , Tsihrintzis George A.
Published: February 2025

Much talk is going on in the recent years about the potential development of e-Government. This development is related on one hand to delivering new innovative services to the interested parties and on the other hand to the more efficient support of back-office. The employees involved in supporting the delivery of public goods must exploit more effectively the knowledge generated by the entire public sector. To make this happen tools need to be adopted related to the creation and management of knowledge. In this paper we present the concept of knowledge, its creation and coding and the application of the previous in e-Government.
Interleaving Planning and Plan Execution with Incomplete Knowledge in the Event Calculus
Authors: Eppe Manfred  , Dietrich Dominik
Published: February 2025

In most A.I. planning approaches it is assumed that the planning agent has complete knowledge about its environment. If this is the case the agent acts in two steps: It first plans and then executes its plan. However, humans do usually not behave this simple, as in most real world problems knowledge about the environment is incomplete. To solve real world problems, acting, sensing and planning has to be interleaved in a cyclic manner: Knowledge has to be acquired during plan execution and the plan has to be adopted incrementally to the acquired knowledge. In our work, we employ the Discrete Event Calculus Knowledge Theory (DECKT) and combine it with a Lazy Branching strategy to interleave planning and plan execution for problems with incomplete knowledge: We make optimistic assumptions for unknown contingencies and lazily postpone the planning for a certain contingency until it is resolved. As the Event Calculus accounts for time, the proposed approach allows to combine planning with incomplete knowledge, concurrency and explicit time.
Local stability of Belief Propagation algorithm with multiple fixed points
Authors: Martin Victorin  , Lasgouttes Jean-Marc  , Furtlehner Cyril
Published: February 2025

A number of problems in statistical physics and computer science can be expressed as the computation of marginal probabilities over a Markov random field. Belief propagation, an iterative message-passing algorithm, computes exactly such marginals when the underlying graph is a tree. But it has gained its popularity as an efficient way to approximate them in the more general case, even if it can exhibits multiple fixed points and is not guaranteed to converge. In this paper, we express a new sufficient condition for local stability of a belief propagation fixed point in terms of the graph structure and the beliefs values at the fixed point. This gives credence to the usual understanding that Belief Propagation performs better on sparse graphs.
Control in Judgment Aggregation
Authors: Baumeister Dorothea  , Erdélyi Gábor  , Erdélyi Olivia J.  , Rothe Jörg
Published: February 2025

In computational social choice, the complexity of changing the outcome of elections via various control actions, such as adding or deleting candidates or voters, has been studied intensely. We introduce the concept of control for judgment aggregation procedures, and study the complexity of changing the outcome of such procedures via control by adding, deleting, or replacing judges.
A Logic for Specifying Agent Actions and Observations with Probability
Authors: Rens Gavin  , Lakemeyer Gerhard  , Meyer Thomas
Published: February 2025

We propose a non-standard modal logic for specifying agent domains where the agent's actuators and sensors are noisy, causing uncertainty in action and perception. The logic is multi-modal, indexed with actions; the logic is also augmented with observation objects to facilitate knowledge engineers dealing with explicit observations in the environment, and it includes a notion of probability. A tableau method is provided for proving decidability of the proposed logic. It is our conjecture that the tableau rules are complete with respect to the semantics. The proof does not yet exist, however, we discuss the current approach of the proof and provide some examples to motivate our conjecture.
FlowOpt: Bridging the Gap Between Optimization Technology and Manufacturing Planners
Authors: Barták Roman  , Jaŝka Milan  , Novák Ladislav  , Rovenský Vladimír  , Skalický Tomáš  , Cully Martin  , Sheahan Con  , Thanh-Tung Dang
Published: February 2025

FlowOpt is an integrated collection of tools for workflow optimization in production environments. It was developed as a demonstration of advancements in the areas of modeling and optimization with the focus on simplifying the usage of the technology for end customers. The system consists of several interconnected modules. First, the user visually models a workflow describing the production of some item. Then the user specifies which items and how many of them should be produced (order management) and the system automatically generates a production schedule. This schedule is then visualized in the form of a Gantt chart where the user can arbitrarily modify the schedule. Finally, the system can analyze the schedule and suggest some improvements such as buying a new machine. Constraint satisfaction technology is the solving engine behind these modules.
WantEat: interacting with social networks of smart objects for sharing cultural heritage and supporting sustainability
Authors: Console L.  , Biamino G.  , Carmagnola F.  , Cena F.  , Chiabrando E.  , Furnari R.  , Gena C.  , Grillo P.  , Likavec S.  , Lombardi I.  , Mioli M.  , Picardi C.  , Theseider Dupré D.  , Vernero F.  , Simeoni R.  , Antonelli F.  , Cuciti V.  , Demichelis M.  , Franceschi F.  , Geymonat M.  , Marcengo A.  , Mana D.  , Mirabelli M.  , Perrero M.  , Rapp A.  , Fassio F.  , Grimaldi P.  , Torta F.
Published: February 2025

WantEat is about interacting with everyday objects that become intelligent hubs for accessing and sharing the cultural heritage of a territory. Objects are smart in the sense that they share knowledge with users, interact with them in a personalized way and maintain social relationships with users and other objects. When interacting with an object, a user is also introduced to the social network of its friends; the user can explore this network to discover new interesting information, services, objects, people. The objects we consider belong to the realm of gastronomy, including food items, shops, restaurants, cooks, recipes, etc. On the one hand, this allows people to get deeply in touch with the culture of a territory, making people aware of its traditions and supporting a sustainable gastronomy; on the other hand, the approach supports networking and the promotion of local quality productions and economy.
Designing KDD-Workflows via HTN-Planning
Authors: Kietz Jörg-Uwe  , Serban Floarea  , Bernstein Abraham  , Fischer Simon
Published: February 2025

Knowledge Discovery in Databases (KDD) has evolved a lot during the last years and reached a mature stage offering plenty of operators to solve complex data analysis tasks. However, the user support for building workflows has not progressed accordingly. The large number of operators currently available in KDD systems makes it difficult for users to successfully analyze data. In addition, the correctness of workflows is not checked before execution. This demo presents our tools, eProPlan and eIDA, which solve the above problems by supporting the whole cycle of (semi-) automatic workflow generation. Our modeling tool eProPlan, allows to describe operators and build a task/method decomposition grammar to specify the desired workflows. Additionally, our Intelligent Discovery Assistant, eIDA, allows to place workflows into data mining (DM) suites or workflow engines for execution.
Representing Value Functions with Recurrent Binary Decision Diagrams
Authors: Beck Daniel  , Lakemeyer Gerhard
Published: February 2025

The agent programming language Golog features nondeterministic constructs such as nondeterministic branching. Given an optimization theory the nondeterminism can be resolved optimally. There are techniques that allow to derive an abstract first-order description of a value function which is valid across all possible domain instances. The size of the domain may be unknown or even infinite. A finite horizon is assumed, though. That is, although the value function makes no assumptions about the size of the domain, the plans generated on the basis of the value functions are restricted to a certain length. In this paper we present a solution for this dilemma for a specific class of programs. In particular, we present a solution that allows to compute a representation of the value function for non-nested loops without requiring any restrictions on the number of loop iterations. A pleasing side effect is that our new representation of the value function is usually smaller than the representations for fixed horizons.
Recent advances in imprecise-probabilistic graphical models
Authors: de Cooman Gert  , De Bock Jasper  , Van Camp Arthur
Published: February 2025

We summarise and provide pointers to recent advances in inference and identification for specific types of probabilistic graphical models using imprecise probabilities. Robust inferences can be made in so-called credal networks when the local models attached to their nodes are imprecisely specified as conditional lower previsions, by using exact algorithms whose complexity is comparable to that for the precise-probabilistic counterparts.