bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Analysis of Bag of Visual Words for Recognition of Complex Scenes
Authors: Hernando-Ríos G. Luis  , García-García Miguel Angel  , Puig-Valls Domenec
Published: February 2025

This paper analyzes and discusses the performance of Bag of Visual Words (BoVW), a well-known image encoding and classification technique utilized to recognize object categories, in the particular application scope of complex scene recognition. Given a set of training images containing examples of the different objects of interest, a dictionary of prototypical SIFT descriptors (visual words) is first obtained by applying unsupervised clustering. The contents of any input image can then be encoded by computing a histogram that denotes the relative frequency of every visual word in the SIFT descriptors of that input image. A Support Vector Machine (SVM) is then trained for every object category by using as positive examples the histograms corresponding to training images with objects belonging to that category, and as negative examples, the histograms from the other categories. Given an image with an unknown object to be classified, its histogram of visual words is obtained and fed into the available SVMs. The image is then classified into the object category of the SVM that yields the highest score. Although BoVW has proven to provide acceptable results for recognizing complex object categories, its performance for scene recognition needs to be assessed, since scenes have intrinsic properties that make them significantly differ from individual object categories.
Preserving T-Transitivity
Authors: Mayor Gaspar  , Recasens Jordi
Published: February 2025

This contribution deals with the problem of aggregating T-equivalence relations, in the sense that we are looking for functions that preserve reflexivity, symmetry and transitivity with respect to a given t-norm T. Under any extra condition on the t-norm, we obtain a complete description of those functions in terms of that we call T-triangular triplets.
The Master/iSlave Dialectic: Post (Hegelian) Phenomenology and the Ethics of Technology
Authors: Gertz Nolen
Published: February 2025

In part one of this paper I turn to Don Ihde to show how a technological object can occupy the role that “the other” plays for Hegel in his phenomenology as the structural features of Hegel's analyses of self-other relations can be found in Ihde's analyses of human-technology relations. I then turn to Singer's Wired for War and Gertz's Philosophy of War and Exile. Using these texts I show how the way soldiers treat robots by naming them, protecting them, and by even risking their lives to save them, illustrates Hegel's central claim: ethical life develops based on the process of discovering that to recognize others (whether human or technological) is to recognize ourselves and that to misrecognize others is to misrecognize ourselves. I conclude by offering suggestions as to how this understanding of ethical life as based on recognition and misrecognition can be applied to design ethics.
Computability of Rational Action
Authors: Amadae S.M.
Published: February 2025

In this paper I argue that the rationality characterizing strategic action in game theory is computable. In making this argument I discuss parametric ordinal decision-theory developed by Kenneth J. Arrow, and the parametric expected utility rankings of John von Neumann and Oskar Morgenstern. I next discuss von Neumann and Morgenstern's two-person zero-sum game theory. I argue that even though von Neumann and Morgenstern introduce rational decision-making predicated on a randomizing device, that this procedure is subject to computation. Moreover, whereas the Arrovian actors and von Neumann Morgenstern expected utility maximizing agents can be subject to indecisiveness due to indifference among elements in an optimal choice set, if we assume repeating choice contexts, then von Neumann and Morgenstern's introduction of randomization in mixed-strategies can solve the problem of computing decisions in these cases. This argument is a fundamental part of a larger project that argues that the strategic rationality formalized by von Neumann and Morgenstern is computable in the sense of the Church thesis. If this is true, then insofar as strategic rationality (also called rational choice) is paradigmatic of instrumental rationality, then these agents are in principle no different from artificial intelligences with the same instructions for action (rules linking choices and outcomes) and identical preferences and beliefs.
Human-Animal Analogy in Human-Robot Interaction
Authors: Zawieska Karolina
Published: February 2025

This paper focuses on the concept of the human being and anthropomorphism developed in Human-Robot Interaction (HRI) research. The underlying assumption is that robot users are often viewed as organisms who respond ‘automatically’ to anthropomorphic cues provided by the robotic systems rather than assign meanings to the robot's appearance and behaviour. This has fundamental consequences not only for how one conceives anthropomorphic robot design but also and above all for how one understands humanness. While one could expect that the human being will be compared to the machine, the underlying assumption in this paper is that such an approach is largely shaped by the human-animal analogy. Thus, this paper employs the symbolic interactionist perspective to discuss the main factors contributing to the analogies between humans and animals in HRI research. The ultimate goal is to challenge the human-animal analogy and the dehumanisation it generates in and outside the HRI field.
Health Behaviour Change Through Computer Games: Characterising Interventions
Authors: Poultney Nathan  , Maeder Anthony  , Ginige Jeewani Anupama
Published: February 2025

Recently games in the form of video, computer, or mobile apps have been utilised as an effective component of interventions for health behaviour change. This paper provides an overview of related projects reported in peer-review literature in the period 2006 to 2016. Nine highly relevant references were considered for analysis. The findings are presented according to 3 dimensions of characterisation: health intention, behaviour change principle, and health purpose.
Sentiment Analysis of Multiple Implicit Features per Sentence in Consumer Review Data
Authors: Dosoula Nikoleta  , Griep Roel  , den Ridder Rick  , Slangen Rick  , van Luijk Ruud  , Schouten Kim  , Frasincar Flavius
Published: February 2025

With the rise of e-commerce, online consumer reviews have become crucial for consumers' purchasing decisions. Most of the existing research focuses on the detection of explicit features and sentiments in such reviews, thereby ignoring all that is reviewed implicitly. This study builds, in extension of an existing implicit feature algorithm that can only assign one implicit feature to each sentence, a classifier that predicts the presence of multiple implicit features in sentences. The classifier makes its prediction based on a custom score function and a trained threshold. Only if this score exceeds the threshold, we allow for the detection of multiple implicit feature. In this way, we increase the recall while limiting the decrease in precision. In the more realistic scenario, the classifier-based approach improves the F1-score from 62.9% to 64.5% on a restaurant review data set. The precision of the computed sentiment associated with the detected features is 63.9%.
The Factor Analysis's Applicability on Social Indicator Research
Authors: Xie Ying  , Chen Yao-Hua  , Peng Ling-Xi
Published: February 2025

Factor analysis is a multivariate statistical method widely used in social indicator analysis. Most of time, factor analysis results in the textbook only give some mathematical expressions without clear interpretation. Motivated from a case study on a popular textbook, this paper attempts to illustrate the potential pitfall of factor analysis in some real applications. The study demonstrates that without careful examination of the original dataset, factor analysis can lead to misleading conclusions. This issue has been largely ignored in the literature including popular textbooks. The statistical analysis cannot completely rely on the automated computer software. The Kaiser-Meyer-Olkin (KMO) test results can only be used as a reference. We should carefully examine the applicability of the original data and give a cautious explanation. Provided that some popular textbooks ignore this point, we wish this article can draw the readers' special attention to the raw data when conducting factor analysis.
Cumulative Probability Distribution Based Computational Method for High Order Fuzzy Time Series Forecasting
Authors: Gangwar Sukhdev S.  , Kumar Sanjay
Published: February 2025

Issue of deciding interval length, calculations of complicated fuzzy logical relations and hunt of apposite defuzzification process have been an important area of research in fuzzy time series forecasting since its inception. In present study, cumulative probability distribution based computational scheme with discretized of universe is proposed for fuzzy time series forecasting. In this study, cumulative probability distribution decides the length of intervals using characteristic of data distribution and proposed computational algorithm minimizes calculations of complex fuzzy logical relations and search of suitable defuzzification method. To verify the enhancement in forecasting accuracy of developed model, it is applied to the benchmark problem of forecasting historical student enrollments of University of Alabama. Accuracy in forecasted enrollments of developed model is also compared with the other various methods using different error measures. Coefficients of correlation and determination are used to determine the strength between forecasted and actual enrollments.
QoS Aware Hierarchical Routing Protocol Based on Signal to Interference plus Noise Ratio and Link Duration for Mobile Ad Hoc Networks
Authors: Wu Yan-Ling  , Li Ming  , Zhang Guo-Bin
Published: February 2025

Though node mobility allows quick network setup for Mobile Ad Hoc Networks (MANETs), it can lead to route failure if improper movements are taken. Therefore, how to maintain the reliability of routes has always been a challenge in MANETs. Since routes are composed of relaying-nodes hop-by-hop, how to select reliable relay nodes is of great importance. Existing researches of routing protocol mainly utilize the metric of Hop or Received Signal Strength (RSS), which ignores the interference from other nodes and cannot make a good indication for link quality. In allusion to this problem, we propose an extension of OLSR protocol, named QoS aware Hierarchical Routing Protocol (QHRP), by replacing its relay-node selection policy. To be specific, we use a new metric combining estimated signal to interference plus noise ratio (SINR) and link duration (LD) instead of the number of hops used in OLSR. Since SINR considers the accumulative interference from neighbor nodes, and LD considers the lifetime per link, it is expected that routes generated by QHRP can be more reliable. Extensive simulations show that QHRP can achieve an outstanding performance in terms of calculation of route, overhead and packet drop ratio.
Research on a Non-Rigid 3D Shape Retrieval Method Based on Global and Partial Description
Authors: Yuan Tian-Wen  , Lu Yi-Nan  , Shi Zhen-Kun  , Zhang Zhe
Published: February 2025

Retrieval of 3D shapes, especially non-rigid shapes, is attracting growing interest in the research community. In this paper, a new robust feature points extraction method based on two major approaches is presented. The proposed method is proven to be robust when applied to non-rigid 3D shapes as well as highly replicable in different scales. In addition, since partial features provide more detailed information regarding non-rigid 3D shape retrieval, a representation combining the global partial descriptors for 3D shape retrieval is developed and a new similarity measurement is applied to the corresponding parts of different shapes. Finally, the proposed method is implemented using global and partial descriptors with different weights. The results indicate that the proposed method efficiently performed non-rigid 3D shape retrieval.
Can Robots Write Treaties? Using Recurrent Neural Networks to Draft International Investment Agreements
Authors: Alschner Wolfgang  , Skougarevskiy Dmitriy
Published: February 2025

Negotiating international investment agreements is costly, complex, and prone to power asymmetries. Would it then not make sense to let computers do part of the work? In this contribution, we train a character-level recurrent neural network (RNN) to write international investment agreements. Benefitting from the formulaic nature of treaty language, the RNN generates texts of lawyer-like quality on the article-level, but fails to compose treaties in a legally sensible manner. By embedding RNNs in a user-controlled pipeline we overcome this problem. First, users can specify the treaty content categories ex ante on which the RNN is trained. Second, the pipeline allows a filtering of output ex post by identifying output that corresponds most closely to a user-selected treaty design benchmark. The result is an improved system that produces meaningful texts with legally sensible composition. We test the pipeline by comparing predicted treaties to actually concluded ones and by verifying that our filter captures latent policy preferences by predicting the outcome of current investment treaty negotiations between China and the United States.
On Legal Validity
Authors: Araszkiewicz Michal  , Casanovas Pompeu
Published: February 2025

This paper presents a theoretical account of legal validity. We begin with a very simple criterial account of validity and discuss the possibility of elimination of such concept by means of procedure described in Ross' paper Tû-Tû. Then we discuss more ambitious theoretical proposals concerning validity, advocated by Grabowski and Sartor. We make an attempt to reconcile and further generalize these accounts. Finally, we focus on the broadest view encompassing the role of institutions with regard to validity. The notion of intermediate anchoring institutions is key in the new social scenarios created through linked-data systems. Some examples are provided.
From Entry to Practice to Advanced Nurse Practitioner – The Progression of Competencies and How They Assist in Delivery of eHealth Programs for Healthy Ageing
Authors: Rodger Daragh  , Hussey Pamela
Published: February 2025

Most of the health issues encountered in persons of older age are the result of one or more chronic diseases. The evidence base reports that chronic diseases can be prevented or delayed by engaging in healthy behaviors. Education provides a cost effective intervention on both economic grounds in addition to delivery of optimal patient outcomes. Information and Communication Technology (ICT) increasingly is viewed as a critical utility in eHealth delivery, providing scope for expanding online education facilities for older persons. Developing nursing competencies in the delivery of eHealth solutions to deliver user education programs therefore makes sense. This chapter discusses nursing competencies on the development of targeted eHealth programs for healthy ageing. The role of Advanced Nurse Practitioner in Ireland and its associated competency set identifies how a strong action learning model can be designed to deliver eHealth educational programs for effective delivery of healthy ageing in place.
This Is not Participatory Design – A Critical Analysis of Eight Living Laboratories
Authors: Bygholm Ann  , Kanstrup Anne Marie
Published: February 2025

Design of Health Technology for elderly and care personnel has a high priority because of a severe increase of elderly citizens in need of health care combined with a decrease of resources in the health care sector. Desires for maintaining and improving the quality of care while reducing costs has resulted in a search for approaches that support co-operation between technology designers, elderly persons and health care professionals on innovating future care technology. Living laboratories, where areas of a care environment are transformed into a so-called platform for technology innovation, are popular. Expectations for living laboratories are high but examinations of how such laboratories support the intended participatory innovation are few. This paper presents and examines eight living laboratories set up in Danish nursing homes for technology innovation. We present the notion of a living laboratory and explicate the aspirations and expectations of this approach, and discuss why these expectations are hard to meet both on a general level and in the investigated labs. We question the basic assumptions of the possibility of reconciling the different interests of the stakeholders involved. In our analysis we focus on users in the living laboratories. We use guiding principles developed within Participatory Design to reveal the role and participation of the users – the health care professionals and the elderly – in the eight living laboratories. In general, these users played a minor role, in the labs where technical problems turned out to be main activity. We conclude that living laboratories do not nullify different/conflicting interests and that a real-life setting by itself is no guarantee for user participation.
Usability and eHealth Literacy Evaluation of a Mobile Health Application Prototype to Track Diagnostic Imaging Examinations
Authors: Griffith Janessa  , Monkman Helen
Published: February 2025

In the absence of a pan-Canadian electronic health record, unnecessary duplicate diagnostic imaging (DI) examinations are sometimes ordered when a physician is not aware of prior DI or prior DI is not available. Research suggests that physicians may ask their patient to recall their DI history; however, patient recall of DI can be unreliable. As a potential solution, a patient-facing mobile health application (app) prototype was developed for users to record their DI. The app was designed to be usable and inclusive to users of all health literacy levels. The aim of this paper is to demonstrate how eHealth literacy and usability heuristics can be used during the design phases of app development.
Digital Health Services and Digital Identity in Alberta
Authors: McEachern Aiden  , Cholewa David
Published: February 2025

The Government of Alberta continues to improve delivery of healthcare by allowing Albertans to access their health information online. Alberta is the only province in Canada with provincial electronic health records for all its citizens. These records are currently made available to medical practitioners, but Alberta Health believes that providing Albertans access to their health records will transform the delivery of healthcare in Alberta. It is important to have a high level of assurance that the health records are provided to the correct Albertan. Alberta Health requires a way for Albertans to obtain a digital identity with a high level of identity assurance prior to releasing health records via the Personal Health Portal. Service Alberta developed the MyAlberta Digital ID program to provide a digital identity verification service. The Ministry of Health is leveraging MyAlberta Digital ID to enable Albertans to access their personal health records through the Personal Health Portal. The Government of Alberta is advancing its vision of patient-centred healthcare by enabling Albertans to access a trusted source for health information and their electronic health records using a secure digital identity.
A Survey of Standard Information Models for Clinical Decision Support Systems
Authors: Mussavi Rizi Seyed Ali  , Roudsari Abdul
Published: February 2025

HL7 CDA, vMR, and openEHR archetypes have been utilized as standard information models for clinical decision support systems. Compared to openEHR archetypes, vMR typically requires less time to develop and extend which makes it a good fit for rapid prototyping and pilot projects, while openEHR archetypes handle the data and semantic specification better. Using CDA for clinical decision support systems is discouraged due to its complexity, steep learning curve, and potential safety issues.
Isolating the Effects of a Mobile Phone on the Usability and Safety of eHealth Software Applications
Authors: Borycki Elizabeth M.  , Griffith Janessa  , Monkman Helen  , Reid-Haughian Cheryl
Published: February 2025

Mobile phones are used in conjunction with mobile eHealth software applications. These mobile software applications can be used to access, review and document clinical information. The objective of this research was to explore the relationship between mobile phones, usability and safety. Clinical simulations and semi-structured interviews were used to investigate this relationship. The findings revealed that mobile phones may lead to specific types of usability issues that may introduce some types of errors.
Storing and Querying Longitudinal Data Sets in an Open Source EHR
Authors: Chelsom John  , Dogar Naveed
Published: February 2025

The cityEHR is an example of an open source EHR system which stores clinical data as collections of XML documents. The records gathered in routine clinical care are a rich source of longitudinal data for use in clinical studies. We describe how the standard language XQuery can be used to identify cohorts of patients, matching specified criteria. We discuss methods for ensuring good data quality and the issues in implementing XML queries on longitudinal data sets.
Establishment of Requirements and Methodology for the Development and Implementation of GreyMatters, a Memory Clinic Information System
Authors: Tapuria Archana  , Evans Matt  , Curcin Vasa  , Austin Tony  , Lea Nathan  , Kalra Dipak
Published: February 2025

Introduction: The aim of the paper is to establish the requirements and methodology for the development process of GreyMatters, a memory clinic system, outlining the conceptual, practical, technical and ethical challenges, and the experiences of capturing clinical and research oriented data along with the implementation of the system. Methods: The methodology for development of the information system involved phases of requirements gathering, modeling and prototype creation, and ‘bench testing’ the prototype with experts. The standard Institute of Electrical and Electronics Engineers (IEEE) recommended approach for the specifications of software requirements was adopted. An electronic health record (EHR) standard, EN13606 was used, and clinical modelling was done through archetypes and the project complied with data protection and privacy legislation. Results: The requirements for GreyMatters were established. Though the initial development was complex, the requirements, methodology and standards adopted made the construction, deployment, adoption and population of a memory clinic and research database feasible. The electronic patient data including the assessment scales provides a rich source of objective data for audits and research and to establish study feasibility and identify potential participants for the clinical trials. Conclusion: The establishment of requirements and methodology, addressing issues of data security and confidentiality, future data compatibility and interoperability and medico-legal aspects such as access controls and audit trails, led to a robust and useful system. The evaluation supports that the system is an acceptable tool for clinical, administrative, and research use and forms a useful part of the wider information architecture.
A Decision Support System for Cardiac Disease Diagnosis Based on Machine Learning Methods
Authors: Gharehbaghi Arash  , Lindén Maria  , Babic Ankica
Published: February 2025

This paper proposes a decision support system for screening pediatric cardiac disease in primary healthcare centres relying on the heart sound time series analysis. The proposed system employs our processing method which is based on the hidden Markov model for extracting appropriate information from the time series. The binary output resulting from the method is discriminative for the two classes of time series existing in our databank, corresponding to the children with heart disease and the healthy ones. A total 90 children referrals to a university hospital, constituting of 55 healthy and 35 children with congenital heart disease, were enrolled into the study after obtaining the informed consent. Accuracy and sensitivity of the method was estimated to be 86.4% and 85.6%, respectively, showing a superior performance than what a paediatric cardiologist could achieve performing auscultation. The method can be easily implemented using mobile and web technology to develop an easy-to-use tool for paediatric cardiac disease diagnosis.
A Standardized and Data Quality Assessed Maternal-Child Care Integrated Data Repository for Research and Monitoring of Best Practices: A Pilot Project in Spain
Authors: Sáez Carlos  , Moner David  , García-De-León-Chocano Ricardo  , Muñoz-Soler Verónica  , García-De-León-González Ricardo  , Maldonado José Alberto  , Boscá Diego  , Tortajada Salvador  , Robles Montserrat  , García-Gómez Juan M.  , Alcaraz Manuel  , Serrano Pablo  , Bernal José L.  , Rodríguez Jesús  , Bustos Gerardo  , Esparza Miguel
Published: February 2025

We present the results of a pilot project of the Spanish Ministry of Health, Social Services and Equality, envisaged to the development of a national integrated data repository of maternal-child care information. Based on health information standards and data quality assessment procedures, the developed repository is aimed to a reliable data reuse for (1) population research and (2) the monitoring of healthcare best practices. Data standardization was provided by means of two main ISO 13606 archetypes (composed of 43 sub-archetypes), the first dedicated to the delivery and birth information and the second about the infant feeding information from delivery up to two years. Data quality was assessed by means of a dedicated procedure on seven dimensions including completeness, consistency, uniqueness, multi-source variability, temporal variability, correctness and predictive value. A set of 127 best practice indicators was defined according to international recommendations and mapped to the archetypes, allowing their calculus using XQuery programs. As a result, a standardized and data quality assessed integrated data respository was generated, including 7857 records from two Spanish hospitals: Hospital Virgen del Castillo, Yecla, and Hospital 12 de Octubre, Madrid. This pilot project establishes the basis for a reliable maternal-child care data reuse and standardized monitoring of best practices based on the developed information and data quality standards.
Telemonitoring and Medical Care of Heart Failure Patients Supported by Left Ventricular Assist Devices – The Medolution Project
Authors: Reiss Nils  , Schmidt Thomas  , Müller-von Aschwege Frerk  , Thronicke Wolfgang  , Hoffmann Jan-Dirk  , Röbesaat Jenny Inge  , Deniz Ezin  , Hein Andreas  , Krumm Heiko  , Stewing Franz-Josef  , Willemsen Detlev  , Schmitto Jan Dieter  , Feldmann Christina
Published: February 2025

Long-term survival after left ventricular assist device (LVAD) implantation in heart failure patients is mainly determined by a sophisticated after-care. Ambulatory visits only take place every 12 weeks. In case of life-threatening complications (pump thrombosis, driveline infection) this might lead to delayed diagnosis and delayed intervention. It is the intention of the international project Medolution (Medical care evolution) to develop new approaches in order to create best structures for telemonitoring of LVAD patients. In the very early period of the project a questionnaire was sent to 180 LVAD patients to evaluate the need and acceptance of telemonitoring. Thereafter, a graphical user interface (GUI) mockup was developed as one of the first steps to improve the continuous contact between the LVAD patient and the physician. As a final goal the Medolution project aims to bundle all relevant informations from different data sources into one platform in order to provide the physician a comprehensive overview of a patient's situation. In the systems background a big data analysis should run permanently and should try to detect abnormalities and correlations as well. At crucial events, a notification system should inform the physician and should provide the causing data via a decision support system. With this new system we are expecting early detection and prevention of common and partially life-threatening complications, less readmissions to the hospital, an increase in quality of life for the patients and less costs for the health care system as well.
Digital Media for Primary Health Care in Austria
Authors: Kriegel Johannes  , Tuttle-Weidinger Linda  , Reckwitz Luise
Published: February 2025

Primary health care (PHC) is currently being improved in all developed industries. The aim is to make healthcare more patient-centered and close to the patient's place of residence. In addition to the organizational and interdisciplinary reorientation, the use of digital media is increasingly being emphasized. Through literature research and an online survey among Austrian doctors and general practitioners, the current and future challenges for the use of digital media in networked and regional primary health care were identified and prioritized. It becomes clear that basic functions like documentation, communication and coordination in the individual medical practice are at the forefront. In the future it will be necessary to support regional and interprofessional networking through digital media.
Challenges and Approaches to Make Multidisciplinary Team Meetings Interoperable – The KIMBo Project
Authors: Krauss Oliver  , Holzer Karl  , Schuler Andreas  , Egelkraut Reinhard  , Franz Barbara
Published: February 2025

Background: Multidisciplinary team meetings (MDTMs) are already in use for certain areas in healthcare (e.g. treatment of cancer). Due to the lack of common standards and accessibility for the applied IT systems, their potential is not yet completely exploited.
Word Sense Disambiguation of Medical Terms via Recurrent Convolutional Neural Networks
Authors: Festag Sven  , Spreckelsen Cord
Published: February 2025

Background: Tagging text data with codes representing biomedical concepts plays an important role in medical data management and analysis. A problem occurs if there are ambiguous words linked to several concepts.
Requirements and Solutions for Personalized Health Systems
Authors: Blobel Bernd  , Ruotsalainen Pekka  , Lopez Diego M.  , Oemig Frank
Published: February 2025

Organizational, methodological and technological paradigm changes enable a precise, personalized, predictive, preventive and participative approach to health and social services supported by multiple actors from different domains at diverse level of knowledge and skills. Interoperability has to advance beyond Information and Communication Technologies (ICT) concerns, including the real world business domains and their processes, but also the individual context of all actors involved. The paper introduces and compares personalized health definitions, summarizes requirements and principles for pHealth systems, and considers intelligent interoperability. It addresses knowledge representation and harmonization, decision intelligence, and usability as crucial issues in pHealth. On this basis, a system-theoretical, ontology-based, policy-driven reference architecture model for open and intelligent pHealth ecosystems and its transformation into an appropriate ICT design and implementation is proposed.
Framing a Situated and Inclusive Open Science: Emerging Lessons from the Open and Collaborative Science in Development Network
Authors: Hillyer Rebecca  , Posada Alejandro  , Albornoz Denisse  , Chan Leslie  , Okune Angela
Published: February 2025

What is open science and under what conditions could it contribute towards addressing persistent development challenges? How could we re-imagine and enrich open science so that it is inclusive of local realities and a diversity of knowledge traditions? These are some of the questions that the Open and Collaborative Science in Development Network (OCSDNet) is attempting to answer. In this paper, we provide the rationale and principles underlying OCSDnet, the conceptual and methodological frameworks guiding the research, and preliminary findings from the network's twelve globally diverse research projects. Instead of a “one-size-fits-all” approach to open science, our findings suggest that it is important to take into account the local dynamics and power structures that affect the ways in which individuals tend to collaborate (or not) within particular contexts. Despite the on-going resistance of powerful actors towards new forms of creating and sharing diverse knowledge, concluding evidence from the twelve research teams suggests that open science does indeed have an important role to play in facilitating inclusive collaboration and transformatory possibilities for development.
Collaborative and Decentralized Storage Services
Authors: Lopez-Fuentes Francisco de Asís
Published: February 2025

During recent years, decentralized storage services have emerged as a promising solution to support the IT industry. The decentralized aspect means that there are no central servers. Many of these services are based on cloud computing. Cloud computing is a novel paradigm that has altered our perception of computing infrastructures, software delivery and development models, and has been quickly adopted worldwide. In this way, several IT resources, such as heavy computing, massive storage, and high-capacity networks are offered as services, and these can be accessed from anywhere at any time. However, most popular cloud systems are based on a centralized approach, which introduces several limitations such as storage dependence, privacy, scalability, localization and connectivity. Collaborative infrastructures as peer-to-peer (P2P) networks have emerged as promising solutions for the management and storage of all data. This paper reviews different types of infrastructures as possible solutions to support distributed storage services.
Effect of Social Media in a mHealth Application
Authors: Tufte Trond  , Babic Ankica
Published: February 2025

In this project the potential of social media has been reviewed in terms how it can promote a healthy lifestyle utilized in an app. A mHealth app for smartphones has been developed using Design Science methodology, where various features from social media have been implemented with the goal of increasing physical activity. The application has been evaluated extensively in order to meet usability requirements. In addition, a focus group has contributed towards the application's potential to increase physical. The data collected is suggesting that social features have a positive impact on promoting physical activity.
Clinical Decision Support in GPIT Certified Practice Management Systems
Authors: Alshehri Fayz
Published: February 2025

This research has focused on identifying the current level of Clinical Decision Support Systems (CDSSs) within the current five certified Practice Management Systems (PMSs) that are provided to General practitioners (GPs) in Ireland. In this research, we also have conducted a survey questionnaire to explore the familiarity, perceptions and attitudes of GPs towards the current level of CDSSs functions within the five certified PMSs. From the current research results and in the light of its findings, a conclusion and proposed recommendations are provided.
Designing a Safety Reporting Smartphone Application to Improve Patient Safety After Total Hip Arthroplasty
Authors: Krumsvik Ole Andreas  , Babic Ankica
Published: February 2025

This paper presents a safety reporting smartphone application which is expected to reduce the occurrence of postoperative adverse events after total hip arthroplasty (THA). A user-centered design approach was utilized to facilitate optimal user experience. Two main implemented functionalities capture patient pain levels and well-being, the two dimensions of patient status that are intuitive and commonly checked. For these and other functionalities, mobile technology could enable timely safety reporting and collection of patient data out of a hospital setting. The HCI expert, and healthcare professionals from the Haukeland University Hospital in Bergen have assessed the design with respect to the interaction flow, information content, and self-reporting functionalities. They have found it to be practical, intuitive, sufficient and simple for users. Patient self-reporting could help recognizing safety issues and adverse events.
Interacting with Genomic Data: Clinician Requirements and Prototype Structure
Authors: Bradford Dana  , Berkovsky Shlomo  , Martyn Melissa  , Bakkar Tim  , Krahnert Martin  , Rodriguez Michelle  , Bauer Denis  , Ireland Derek  , Gaff Clara
Published: February 2025

Healthcare is currently being transformed by the introduction of genomic sequencing – a major advancement in personalised medicine. This advent provides new opportunities for clinicians to use genomic data in decision making about patient diagnosis and treatment, but this can only be achieved through access to data and support in its use. Engaging with clinicians in the development of decision support tools will optimise relevance and adoption of genomic sequencing in healthcare. In this study, existing data from clinician workshops and interviews together with horizon scanning of relevant technologies were used to define clinician portal specifications. We describe a preliminary structure of a decision support tool for use by clinicians and the manner in which the technology may be evaluated.
Point-of-Care Testing Across Rural and Remote Emergency Departments in Australia: Staff Perceptions of Operational Impact
Authors: Dahm Maria R.  , McCaughey Euan  , Li Ling  , Westbrook Johanna  , Mumford Virginia  , Iles-Mann Juliana  , Sargeant Andrew  , Georgiou Andrew
Published: February 2025

New South Wales (NSW) Health Pathology is implementing one of the world's largest managed PoCT services across rural and remote Emergency Departments (EDs) in New South Wales, Australia to improve patient access to care. The aim of this qualitative study was to gain a context-rich understanding of the operational impact of the NSW rollout of PoCT across rural and remote ED settings as experienced by frontline clinical staff. Clinical professionals (n=14) participated in interviews and focus groups in August 2015 at four rural and remote NSW EDs. Participants perceived that PoCT provided greater access to pathology thus facilitating more efficient and effective patient care via faster test turnaround and time to treatment and more effective decisions about the need to transfer patients to appropriate sites when required. These factors have a potentially important role in saving lives. Staff also identified innovative and disruptive challenges to clinical work patterns associated with PoCT implementation, particularly in relation to work flows, resource allocation and the governance arrangements.
Research on Constant Power Charging and Discharging of Battery Based on LCL Filter
Authors: Huang Mengtao  , Zhao Jiamei
Published: February 2025

In allusion to the application of LCL filter in three-phase voltage rectifier circuit, this paper will apply LCL filter to battery energy storage system, compared with traditional single LC filter, we can use smaller inductance value to achieve better filtering effect, eliminating the problems caused by conventional filters, such as large volume, high cost, poor dynamic response of system. According to the requirements of the design of the whole system, by analyzing the circuit principle and control strategy of the system, using the three-phase voltage type PWM rectifier (VSR) and bidirectional DC/DC converter, through a simple design method of the parameters of the LCL filter, ultimately, the correctness of the theoretical analysis is verified by simulation and experiment and realize the constant power charging and discharging of the battery.
Study on Application of Wavelet Transform Reconstruction Acceleration in Vehicle Vibration Displacement Measurement
Authors: Feng Xiao-feng  , Fang Bin  , Liu Jiang-hong
Published: February 2025

In order to solve the problem of noise error in the process of vehicle vibration displacement, a new method of multi-scale wavelet transform reconstruction acceleration is proposed. this method makes full use of characteristics of wavelet transform in multi-scales. According to frequency range of low-frequency noise to determine the number of decomposition, while to removal high-frequency noise using the correlation between wavelet scales, reconstruct acceleration which has removed the signal noise, then integrate to get the vibration displacement. The simulation analysis results show that the method can be used to measure the vehicle vibration displacement accurately.
Integrating Participatory Design and Health Literacy to Improve Research and Interventions
Authors: Neuhauser Linda
Published: February 2025

Health communication is an essential health promotion strategy to convert scientific findings into actionable, empowering information for the public. Health communication interventions have shown positive outcomes, but many efforts have been disappointing. A key weakness is that expert-designed health communication is often overly generic and not adequately aligned with the abilities, preferences and life situations of specific audiences. The emergence of the field of health literacy is providing powerful theoretical guidance and practice strategies. Health literacy, in concert with other determinants of health, has greatly advanced understanding of factors that facilitate or hinder health promotion at individual, organizational and community settings. However, health literacy models are incomplete and interventions have shown only modest success to date. A challenge is to move beyond the current focus on individual comprehension and address deeper factors of motivation, self-efficacy and empowerment, as well as socio-environmental influences, and their impact to improve health outcomes and reduce health disparities.
Health Literacy in Selected Populations: Individuals, Families, and Communities from the International and Cultural Perspective
Authors: Levin-Zamir Diane  , Leung Angela Yee Man  , Dodson Sarity  , Rowlands Gillian
Published: February 2025

International and cultural perspectives of health literacy help deepen the understanding of the global context within which health literacy plays an important role. Throughout this chapter, we explore the significance of health literacy initiatives, interventions, practices, and research for addressing health challenges on a variety of levels in the international and global context. More specifically, in this chapter, the notion of health literacy as a dynamic construct is introduced, after which we examine health literacy throughout the life course, emphasizing the impact of health literacy among children and the elderly in their families and in the community. Cultural norms and family interpersonal relations, and values influence health literacy and need to be considered when closing the health literacy disparities. Global trends of migration and immigration bring to the forefront the need for unravelling the complexity of health systems, for which health literacy plays a central role; health literacy initiatives address cultural differences between providers and patients to help narrow the communication gap. The importance of cultural competency among health care providers exemplifies how capacity building in health literacy is critical for maximizing the benefits to the public of the health care system. Health literacy provides a conceptual foundation for community participatory research, involving members of the public to take part in the planning, execution and evaluation of health education interventions. Throughout the chapter, selected case studies and picture boxes from around the globe, exemplify aforementioned topics of interest, showcased in the chapter. Practical recommendations for policy makers, practitioners and research are offered based on the studies conducted in the international context.
Patient at Work – In the Era of PRO
Authors: Bygholm Ann  , Bertelsen Pernille
Published: February 2025

There is a widespread consensus that it is important to involve patient in their own care, both for the reasons of quality and safety in healthcare and for the sake of the patients' individual rights. The appreciation of patient participation and related notions such as patient empowerment, patient centered care, patient involvement, patient as co-producers of health et cetera, indicate that the role of the patient have changed over the last decades. It has changed from being a passive recipient of treatment to becoming an active and responsible agent. In this paper, we examine these new roles of the patients and discuss the challenges in realizing them. We include the notion of Patient Reported Outcome (PRO) and suggest that realizing this concept indicate a shift in the understanding of participation/empowerment. Participation of patients in a PRO paradigm means to provide patient with a highly-structured task both in terms of the kind of information the health care system requests, and in terms of how and when. It means to focus on what patients do. Further we suggest that a more precise term to denote the new role allocated to the patient would be patient work, not participation or empowerment. To recognize that being a patient is work, would imply a direct emphasis on competences required and the the time needed, on the division of labor and on the necessary condition for doing the work.
Lessons from Helen Keller: How to Make the Comics Accessible?
Authors: Dupire Jérôme  , Boude Yvan
Published: February 2025

This paper addresses the lack of accessibility of the comics for deaf or hard-of-hearing readers. Comics are a major cultural object, used in many different contexts with, as much as different purposes (leisure, education, advertising, etc.). We report here the results of an experimentation during a communication operation, including a regular exhibition made of panels and a digital mirroring of the contents, with extra materials and information. This digital part, accessible through our institution website, is the basement of this paper.
Feed3: A Strategy for a 3-Direction Connection Among AT Consumers and Developers
Authors: Ortega-Moral Manuel  , Rivero Jesica  , Gutiérrez José Antonio  , Iglesias Andrés  , Suárez Pablo  , Peinado Ignacio  , de Lera Eva  , Zaldua Carla  , Vanderheiden Gregg
Published: February 2025

The Feed3 strategy aims to provide AT consumers, developers and manufacturers with Feedback, Feedforwards and FeedPeer mechanisms to collaborate in the development of novel accessible solutions. This strategy was developed as part of the GPII and it is currently adopted by the Unified Listing and DeveloperSpace infrastructure components.
Use Model for a User Centred Design in Multidisciplinary Teams
Authors: Clark Colin  , Michelle Jess  , Shahi Sepideh  , Stolarick Kevin  , Trevinarus Jutta  , Vanderheiden Gregg  , Vimarlund Vivian
Published: February 2025

The Use Model identifies user groups who will be using services and products the Prosperity4All infrastructure offers. The Model provides developers a tool to keep in mind the full diversity of users while building and designing the infrastructure.