bluuebunny/crossref_metadata_2025 huggingface dataset:
A Conceptual Framework of Communication System of Design for Empowering Post-disaster Communities
Authors: Su Pei-Hsuan
Published: February 2025

The research discusses what kind of systematic design thinking and modern technology may serve as a framework and tools applied in post-disaster communities for their recovery. In fact, modeling a communication system always involves with people, organizations, cultures, activities and interrelationships among them. The research presents that it is necessary to bring together stakeholders from all areas engaged disaster preparedness to have a forum to discuss, demonstrate and exchange ideas in the scope of system science and communication design. Underlying a meta-design approach, the researcher proposes a conceptual framework through using GIS tools to facilitate that empowerment. It emphasizes on co-creative design-time approach suitable for strategic development. Adapting a proper communication system of design may help users of the community to release in-time information via the internet to communicate with the outside, as well as through multi-platforms to call out for the public notice. In addition, after the disaster occurred years later, any a post-disaster community needs to be recovered and reconstructed. Especially, we would need geo-design to solve lasting problems. With a collaborative multi-disciplinary approach, we have the knowledge and means addressing to this geo-spatial problem. Here web developers, user experience designers, and information designers can be extremely useful in creating the kinds of tools that users will not only need but will be able to effectively use. It is critical to employ a meta-design framework, ensuring that the mechanic environment enables end-users to engage in informed participation. These GIS tools should also be integrated in consultation with those end-users who serve as future user-designers of the system.
Never-Die Network System Based on the Lessons from the Great East Japan Earthquake
Authors: Sato Goshi  , Uchida Noriki  , Shiratori Norio  , Shibata Yoshitaka
Published: February 2025

By large tsunami damage due to the Great East Japan Earthquake, many existing network system stopped functioning in various factors. And even in such a situation, satellite IP communication system and mobile telephone network, wireless LAN has been effective for temporary recovery of disaster area networks. We develop the Never Die Network (NDN) System that is a Disaster Resilient Network System based on the lessons of these of the Great East Japan Earthquake.NDN system can accommodate multiple different internet access network, and monitors the each network performance. We propose a method to autonomously derive the optimum packet flow in NDN system based on the measured network performance. We performed quantitative evaluation of the proposed method by performing the constructed of the prototype system. Also, in order to verify the effectiveness of the system under actual disaster situation, we evaluated based on the disaster scenarios using the prototype system.
A Web Information System to Improve the Digital Library Service Quality
Authors: Cabrerizo Francisco Javier  , Martínez María Ángeles  , López-Gijón Javier  , Chiclana Francisco  , Herrera-Viedma Enrique
Published: February 2025

To asses the quality of the services provided by a digital library, traditional measures, such as the size of its collection, have usually been utilized. However, service quality also has to be evaluated by considering users' expectations. In addition, as a digital library plays an important role in the educational progress of a society, it is very important not only to measure the quality of its services but also to improve them. In this contribution, we present a web information system which supports the staff of a digital library to carry out decisions with the aim of improving the services offered by it. To do so, this system provides some advice taking into account both objective criteria, related to quantitative data, and subjective criteria, related to users' judgments.
Wall Following Control of Object-Carrying Robots Using Particle Swarm Optimized FC Through Reinforcement Signals
Authors: Zeng Wan-Ting  , Juang Chia-Feng  , Lin Cheng-Jian
Published: February 2025

This paper proposes wall-following control of two wheeled robots cooperatively carrying an object. Fuzzy controllers (FCs) are used and are learned through particle swarm optimization (PSO) using only simple reinforcement signals. All of the free parameters in the FCs are optimized through PSO. The evolutionary learning approach avoids the cumbersome process of collecting input-output training data pairs in supervised learning. The use of reinforcement signals avoids the definition of complex objective functions for FC performance evaluation. The reinforcement PSO-designed FC is first applied to the control of a single robot for the wall-following task. The design approach is then applied to control two robots cooperatively carrying an object for the same wall-following task. A training environment is created for learning the wall-following behavior. Preliminary results show the effectiveness of this design approach for controlling the two cooperative robots in a simulation environment with a convex map.
Trajectory Planning Using Enhanced Vector form A* Algorithm with Trapezoidal Velocity Profile for Wheeled Mobile Robot
Authors: Chen Wei-Jen  , Jhong Bing-Gang  , Chen Mei-Yung
Published: February 2025

This paper includes A* algorithm in vector map, using map's corners as the nodes. In traditional A* algorithm, nodes are considered as the condition of bringing up moving paths. By this way, there are a large number of turning points in the algorithm. For this reason, this paper modifies the process in A* algorithm and adds a function to check the feasible moving paths between nodes. And to avoid moving paths being too near obstacles and collisions, this paper includes image erosion processing to erase the region too close to the obstacles so that the robot can keep suitable distance from obstacles while moving. Besides, this paper also adds arc-shaped path optimization to make the paths smoother, so the robot can cross each node in curve path, and reduce the cost time.
Time Difference of Arrival Target Locating Using a Moving Passive Radar
Authors: Lin Chih-Min  , Liao Hsin-Yi
Published: February 2025

This paper demonstrates that passive radars can be used to implement signal analysis for frequency modulation (FM) illuminators. In this study, the fast Fourier transform (FFT) is used to acquire the 3D figure of ambiguity function of FM radio signals. According to the principle of radar, this radar waveform has well distinguishing ability for time delay and Doppler frequency shift of signals. Then, the time difference of arrival (TDOA) method is used to estimate the target's position by using an unmanned aerial vehicle to collect data. By this way, the passive radar can detect and locate the targets and doesn't emit electromagnetic waves so that it can avoid being attacked in the war.
Prefetching of Medical Imaging Data Across XDS Affinity Domains
Authors: Helm Emmanuel  , Schuler Andreas  , Krauss Oliver  , Franz Barbara
Published: February 2025

Prior studies as well as medical imaging data are crucial for a radiologist to diagnose a patient. In this paper the radiological workflow is analyzed from a patient's perspective in order to gain knowledge on how possible existing prefetching strategies still can be applied in connection with a standardized distributed health information system conforming to architectures defined by IHE and ELGA. As a result an adaption to such architectures is proposed and further evaluated in a testing environment. Although the approach presented works in terms of prefetching relevant prior studies together with medical imaging data, additional research has to be carried out on how to apply intelligent search strategies in order to narrow retrieved results concerning their possible utilization for a specific diagnosis.
Semantic Retrieval and Navigation in Clinical Document Collections
Authors: Kreuzthaler Markus  , Daumke Philipp  , Schulz Stefan
Published: February 2025

Patients with chronic diseases undergo numerous in- and outpatient treatment periods, and therefore many documents accumulate in their electronic records. We report on an on-going project focussing on the semantic enrichment of medical texts, in order to support recall-oriented navigation across a patient's complete documentation. A document pool of 1,696 de-identified discharge summaries was used for prototyping. A natural language processing toolset for document annotation (based on the text-mining framework UIMA) and indexing (Solr) was used to support a browser-based platform for document import, search and navigation. The integrated search engine combines free text and concept-based querying, supported by dynamically generated facets (diagnoses, procedures, medications, lab values, and body parts). The prototype demonstrates the feasibility of semantic document enrichment within document collections of a single patient. Originally conceived as an add-on for the clinical workplace, this technology could also be adapted to support personalised health record platforms, as well as cross-patient search for cohort building and other secondary use scenarios.
Greece Financial Crisis and Quality of Life
Authors: Mechili Aggelos E.  , Kalokairinou Athena  , Kaitelidou Dafni  , Diomidous Marianna
Published: February 2025

The last six years the global community is facing an economic crisis that first appeared in USA. This crisis has a lot of impacts especially in health sector. Unemployment, job insecurity and the loss of disposable income have a significant impact in health too. The main objective of this research was to investigate the quality of life of the general population in Greece during the financial crisis. To collect the data it has been used the Greek version of Short Form (36) Health Survey (SF-36v2). In general, income, level of education, cohabitation and parenthood had a significant impact in quality of life. As a conclusion, unemployed participants' score was lower in the entire dimensions and in the two summary scales too.
#DigitalHealth: Exploring Users' Perspectives through Social Media Analysis
Authors: Afyouni Soroosh  , Fetit Ahmed E.  , Arvanitis Theodoros N.
Published: February 2025

In order to explore the role of social media in forming an understanding of digital healthcare, we conducted a study involving sentiment and network analysis of Twitter contents. In doing this, we gathered 20,400 tweets that mentioned the key term #DigitalHealth for 55 hours, over a three-day period. In addition to examining users' opinions through sentiment analysis, we calculated in-degree centralities of nodes to identify the hubs in the network of interactions. The results suggest that the overall opinion about digital healthcare is generally positive. Additionally, our findings indicate that the most prevalent keywords, associated with digital health, widely range from mobile health to wearable technologies and big data. Surprisingly, the results show that the newly announced wearable technologies could occupy the majority of discussions.
Remote Patient Monitoring System Implementation at a Cardiac Care Centre in Saudi Arabia
Authors: Al Muallem Yahya  , Al Dogether Majed  , Al Assaf Rakan  , Al Ateeq Asma  , Al Moammary Eman  , Al Ghamdi Huda  , Househ Mowafa
Published: February 2025

The objective of this paper is to report the implementation experiences of a remote patient monitoring system at a cardiac care center in Saudi Arabia. Key informant interviews, meeting documents, and experience of the researcher were part of the data collection sources used in the study. A thematic analysis of the data was conducted. Our preliminary work shows improvements in patient monitoring within the cardiac care center as a result of the new patient monitoring system. Lessons learned are also reported as well as study limitations. Future work will further investigate the impacts of the patient monitoring system on physician and patient satisfaction and health outcomes.
A First Step for the Automation of Fugl-Meyer Assessment Scale for Stroke Subjects in Upper Limb Physical Neurorehabilitation
Authors: Villán-Villán Mailin A.  , Pérez-Rodríguez Rodrigo  , Gómez Cristina  , Opisso Eloy  , Tormos Jose  , Medina Josep  , Gómez Enrique J.
Published: February 2025

This paper proposes a first approach for the automation of the Fugl-Meyer assessment scale used in physical neurorehabilitation. The main goal of this research is to automatically estimate an objective measurement for five Fugl-Meyer scale items related to the assessment of the upper limb motion. An objective score has been calculated for 7 patients. Obtained results indicate that the automation of the scale can be a useful tool for the objective assessment of upper limb motion of stroke survivors.
Application of Multivariate Statistical Analysis to Define Water Quality in Jajrud River
Authors: Asadollahfardi G.  , Kodadadi A.  , Paykani B.  , Samady Y.  , Asadollahfardi R.
Published: February 2025

The copious prevalence of water deficiency and the geographical location of Iran (arid and semi-arid zone) make acquiring enough accurate data of water quantity and quality for water management vital. However, merely having sufficient data without proper interpretation is rather worthless too when it comes to effective water management and thus, there are several techniques for analyzing water quantity and quality. In this work, statistical method was used to analyze the data collected from the catchment area under study i.e. Jajrud River, located in the North West of Tehran Province. The multivariate time series method was employed to analyze water quality parameters in the river. Box-Jenkins time series model was also applied to the factor data resulted from the Multivariate time series. The results showed that the water quality parameters are not independent having a correlation coefficient larger than 0.3. The study also shows that ground water is the first effective factor, which causes increasing total dissolved solid (TDS) in the river. Domestic waste water pollution is the second-most important factor. Agricultural fertilizers and industrial waste may rank as the third and fourth pollution factors, respectively. Prediction of factor data using Box-Jenkins model was accurate and suitable which may be applicable to other place to model the factors data instead of many water quality parameters.
Clinical Simulation: For what and how can it be used in design and evaluation of health IT
Authors: Jensen Sanne
Published: February 2025

The usability of health information technology (IT) is increasingly recognized as critically important to the development of systems that are both safe to use and acceptable to end-users. The substantial complexity of organizations, work practice and physical environments within the healthcare sector influences the development and application of health IT. When health IT is introduced in local clinical work practices, potential patient safety hazards and insufficient support of work practices need to be examined. Qualitative methods, such as clinical simulation, may be used to support Techno-Anthropologists design and evaluate new technology navigating in the intersection between people and technology and between various interests in forms of experts and stakeholders. This chapter will introduce the reader to clinical simulation, present the general guidelines and recommendation conducting simulations and describe a simulation lab in Copenhagen. Illustrative examples and references to specific projects will be part of the contribution.
Application of Human Factors Methods to Design Healthcare Work Systems: Instance of the prevention of Adverse Drug Events
Authors: Marcilly Romaric  , Beuscart-Zephir Marie-Catherine
Published: February 2025

Human Factors (HF) methods are increasingly needed to support the design of new technologies in order to avoid that introducing those technologies into healthcare work systems induces use errors with potentially catastrophic consequences for the patients. This chapter illustrates the application of HF methods in developing two health technologies aiming at securing the hospital medication management process. Lessons learned from this project highlight the importance of (i) analyzing the work system in which the technology is intended to be implemented, (ii) involving end users in the design process and (iii) the intermediation role of HF between end users and scientific/technical experts.
Techno-Anthropological Ethics and Health Information Systems Technologies
Authors: Børsen Tom  , Danborg Pia Brandt
Published: February 2025

One of the most important Techno-Anthropological intellectual virtues is the ability to make contextualized ethical judgments of new and emerging technologies. This Techno-Anthropological core competence is especially relevant in Health Information Systems Technologies, which is a field characterized by inherent ethical dilemmas such as the pros and cons of regulation of research databases with sensitive information, or storing and application of tissue and blood samples. In this paper we present a method to make ‘proper and quick’ ethical estimates in Health Information. The method guides its user to make ethical judgments by splitting the judgment process into four steps: 1) Identification of intended beneficial consequences, potential misuse, unintended side effects and long-term consequences for culture and society. 2) Linkage of intended consequences, misuse, side effects and cultural implications to appropriate ethical values. 3) Identification of ethical dilemmas related to a specific use of the Health Information Systems Technology under assessment. 4) Formulation of appropriate technological and institution design criteria that can transcend the identified ethical dilemmas. The methodology will be applied to a the discussions at a hearing on ethical challenges accompanying research involving health data organized by the Danish Council of Ethics and the case of risk reducing breast cancer surgery based on diagnosed genetic predisposition to breast cancer.
Lay Summaries for Research Articles: A Citizen Science Approach to Bridge the Gap in Access
Authors: Duke Monica
Published: February 2025

The Patients Participate! project explored the feasibility of a citizen science approach to writing lay summaries for research articles. It involved a range stakeholders: funders of research (medical charities), service providers (the British Library), researchers and patients. Informed by practices within medical charities and the experiences of other citizen science projects, different methods were used to investigate trust, the skills required to produce a good lay summary, and the benefits of citizen science. A literature review into human factors was carried out and platforms for service delivery were analysed. The project was able to synthesise guidelines on participation in citizen science projects and the writing of lay summaries, and to identify challenges. This paper summarises the outcomes and lessons learned.
Collaborating on Open Science: The Journey of the Biodiversity Heritage Library
Authors: Smith Jane E.  , Rinaldo Constance A.
Published: February 2025

The Biodiversity Heritage Library, BHLhttp://www.biodiversitylibrary.org/
Researchers and Open Data – Attitudes and Culture at Blekinge Institute of Technology
Authors: Linde Peter  , Norling Eva  , Pettersson Anette  , Petersson Lena  , Pettersson Kent  , Stockmann Anna  , Swartz Sofia
Published: February 2025

During March 2015, the Blekinge Institute of Technology library carried out an interview survey comprising around 36 senior researchers and postdocs mainly in engineering sciences, with the objective to get a picture of how research data is managed at BTH and to find out what the researcher attitudes are to sharing data. The survey showed that most researchers in the study were positive to sharing research data but lacked any experience of making data management plans and had little or no knowledge of data preservation or of sharing open data. Uncertainties about data ownership are also an issue.
Follow-up Recommendation Detection on Radiology Reports with Incidental Pulmonary Nodules
Authors: Oliveira Lucas  , Tellis Ranjith  , Qian Yuechen  , Trovato Karen  , Mankovich Gabe
Published: February 2025

The management of follow-up recommendations is fundamental for the appropriate care of patients with incidental pulmonary findings. The lack of communication of these important findings can result in important actionable information being lost in healthcare provider electronic documents. This study aims to analyze follow-up recommendations in radiology reports containing pulmonary incidental findings by using Natural Language Processing and Regular Expressions. Our evaluation highlights the different follow-up recommendation rates for oncology and non-oncology patient cohorts. The results reveal the need for a context-sensitive approach to tracking different patient cohorts in an enterprise-wide assessment.
An Optimized Superpixel Clustering Approach for High-Resolution Chest CT Image Segmentation
Authors: Pinheiro da Rosa Rafaelo  , Cordeiro d'Ornellas Marcos
Published: February 2025

Lung segmentation is a fundamental step in many image analysis applications for lung diseases and abnormalities in thoracic computed tomography (CT). However, due to the large variations in pathology that may be present in thoracic CT images, it is difficult to extract the lung regions accurately. A major insight to deal with this problem is the existence of new approaches to cope with quality and performance. This poster presents an optimized superpixel clustering approach for high-resolution chest CT segmentation. The proposed algorithm is compared against some super-pixel algorithms while a performance evaluation is carried out in terms of boundary recall and under-segmentation error metrics. The over-segmentation results on a CT Emphysema Database demonstrate that our approach shows better performance than other three state-of-the-art superpixel methods.
Impact of data quality assessment on development of clinical predictive models
Authors: Jonnagaddala Jitendra  , Liaw Siaw-Teng  , Ray Pradeep
Published: February 2025

Data quality plays a very important role in predicting clinical outcomes. Data quality is multi dimensional and most relevant studies consider just one or two dimensions. In this study a systematic data quality assessment is performed using four data dimensions. The results demonstrate that performance of predictive models improves when the quality of the data is assessed and addressed systematically.
Developing a Standards-Based Information Model for Representing Computable Diagnostic Criteria: A Feasibility Study of the NQF Quality Data Model
Authors: Jiang Guoqian  , Solbrig Harold R.  , Pathak Jyotishman  , Chute Christopher G.
Published: February 2025

The lack of a standards-based information model has been recognized as a major barrier for representing computable diagnostic criteria. In this paper we describe our efforts in examining the feasibility of the Quality Data Model (QDM)–developed by the National Quality Forum (NQF)–for representing computable diagnostic criteria. We collected the diagnostic criteria for a number of diseases and disorders (n=12) from textbooks and profiled the data elements of the criteria using the QDM data elements. We identified a number of common patterns informed by the QDM. In conclusion, the common patterns informed by the QDM are useful and feasible in building a standards-based information model for computable diagnostic criteria.
Characterizing Patient-Generated Clinical Data and Associated Implications for Electronic Health Records
Authors: Arsoniadis Elliot G.  , Tambyraja Rabindra  , Khairat Saif  , Jahansouz Cyrus  , Scheppmann Daren  , Kwaan Mary R.  , Hultman Gretchen  , Melton Genevieve B.
Published: February 2025

Patient-facing technologies are increasingly utilized for direct patient data entry for potential incorporation into the electronic health record. We analyzed patient-entered data during implementation of a patient-facing data entry technology using an online patient portal and clinic-based tablet computers at a University-based tertiary medical center clinic, including entries for past medical history, past surgical history, and social history. Entries were assessed for granularity, clinical accuracy, and the addition of novel information into the record. We found that over half of patient-generated diagnoses were duplicates of lesser or equal granularity compared to previous provider-entered diagnoses. Approximately one fifth of patient-generated diagnoses were found to meet the criteria for new, meaningful additions to the medical record. Our findings demonstrate that while patient-generated data provides important additional information, it may also present challenges including generating inaccurate or less granular information.
Toward User-Centered Patient Safety Event Reporting System: A Trial of Text Prediction in Clinical Data Entry
Authors: Hua Lei  , Gong Yang
Published: February 2025

As a primary source for learning from lessons, patient safety event reporting systems have been widely adopted. Nevertheless, underreporting and low quality of reports pervade the system. To address these issues, the study proposed two text prediction functions as data entry aids to system users. With 52 subjects, a two-group randomized experiment was conducted to quantify the impacts in terms of the reporting efficiency, quality, and usability attitudes. Consequentially, on structured data entry, the results were an overall 13.0% time reduction and 3.9% increase of response accuracy with the functions; on unstructured data entry, there was an overall 70.5% increase in the text generation rate, a 34.1% increase in the reporting completeness score, and a 14.5% reduction on the amount of text fields ignored by subjects. Subjects' usability attitudes were slightly improved with the proposed functions according to the questionnaire results.
Usability and Safety of Software Medical Devices: Need for Multidisciplinary Expertise to Apply the IEC 62366: 2007
Authors: Bras Da Costa Sabrina  , Beuscart-Zéphir M.C.  , Bastien J-M. Christian  , Pelayo Sylvia
Published: February 2025

Software medical devices must now comply with the “ergonomics” essential requirement of the Medical Device Directive. However, the usability standard aiming to guide the manufacturers is very difficult to understand and apply. Relying on a triangulation of methods, this study aims to highlight the need to combine various expertises to be able to grasp the standard. To identify the areas of expertise on which the usability standard relies, an analytical review of this document was performed as well as an analysis of a discussion forum dedicated to it and an analysis of a case study of its application for CE marking. The results show that the IEC 62366 is a usability standard structured as a risk management one. It obviously requires Human Factors/Ergonomics expertise to be able to correctly identify and prevent risks of use errors, but it also requires risk management expertise to be able to grasp the issues of the risk analysis and master the related methods.
Flexibility First, Then Standardize: A Strategy for Growing Inter-Departmental Systems
Authors: Torkilsheyggi Arnvør á
Published: February 2025

Any attempt to use IT to standardize work practices faces the challenge of finding a balance between standardization and flexibility. In implementing electronic whiteboards with the goal of standardizing inter-departmental practices, a hospital in Denmark chose to follow the strategy of “flexibility first, then standardization.” To improve the local grounding of the system, they first focused on flexibility by configuring the whiteboards to support intra-departmental practices. Subsequently, they focused on standardization by using the white-boards to negotiate standardization of inter-departmental practices. This paper investigates the chosen strategy and finds: that super users on many wards managed to configure the whiteboard to support intra-departmental practices; that initiatives to standardize inter-departmental practices improved coordination of certain processes; and that the chosen strategy posed a challenge for finding the right time and manner to shift the balance from flexibility to standardization.
Identifying Effective Approaches for Dissemination of Clinical Evidence – Correlation Analyses on Promotional Activities and Usage of a Guideline-Driven Interactive Case Simulation Tool in a Statewide HIV-HCV-STD Clinical Education Program
Authors: Wang Dongwen  , Le Xuan Hung  , Luque Amneris E.
Published: February 2025

Dissemination of the latest clinical evidence to community-based healthcare providers is a critical step to translate biomedical knowledge into clinical practice. We performed a study to analyze the correlations between the promotional activities and the usage of a guideline-driven interactive case simulation tool (ICST) for insomnia screening and treatment in a statewide HIV-HCV-STD clinical education program. For this purpose, we tracked users' interactions with the ICST and the sending of promotional email newsletters during a study period of 44 weeks. Results showed that promotional activities were strongly correlated with the number of audience as well as the intensity of use of the target resource. The strength of correlation varied in specific use contexts. Strong correlations were found between the sending of email newsletters and the intensity of resource use by promotion recipients, by new users, and through the most convenient access channel associated with the promotion. Selection of approaches for resource dissemination should consider the potentials and limitations of use contexts to make them more effective.
Identification of Patient Safety Risks Associated with Electronic Health Records: A Software Quality Perspective
Authors: Virginio Jr. Luiz A.  , Ricarte Ivan Luiz Marques
Published: February 2025

Although Electronic Health Records (EHR) can offer benefits to the health care process, there is a growing body of evidence that these systems can also incur risks to patient safety when developed or used improperly. This work is a literature review to identify these risks from a software quality perspective. Therefore, the risks were classified based on the ISO/IEC 25010 software quality model. The risks identified were related mainly to the characteristics of “functional suitability” (i.e., software bugs) and “usability” (i.e., interface prone to user error). This work elucidates the fact that EHR quality problems can adversely affect patient safety, resulting in errors such as incorrect patient identification, incorrect calculation of medication dosages, and lack of access to patient data. Therefore, the risks presented here provide the basis for developers and EHR regulating bodies to pay attention to the quality aspects of these systems that can result in patient harm.
Identifying Diseases, Drugs, and Symptoms in Twitter
Authors: Jimeno-Yepes Antonio  , MacKinlay Andrew  , Han Bo  , Chen Qiang
Published: February 2025

Social media sites, such as Twitter, are a rich source of many kinds of information, including health-related information. Accurate detection of entities such as diseases, drugs, and symptoms could be used for biosurveillance (e.g. monitoring of flu) and identification of adverse drug events. However, a critical assessment of performance of current text mining technology on Twitter has not been done yet in the medical domain. Here, we study the development of a Twitter data set annotated with relevant medical entities which we have publicly released. The manual annotation results show that it is possible to perform high-quality annotation despite of the complexity of medical terminology and the lack of context in a tweet. Furthermore, we have evaluated the capability of state-of-the-art approaches to reproduce the annotations in the data set. The best methods achieve F-scores of 55–66%. The data analysis and the preliminary results provide valuable insights on identifying medical entities in Twitter for various applications.
Access Control for Mobile Assessment Systems Using ID
Authors: Nakayama Masaharu  , Ishii Tadashi  , Morino Kazuma
Published: February 2025

The assessment of shelters during disaster is critical to ensure the health of evacuees and prevent pandemic. In the Ishinomaki area, one of the areas most damaged by the Great East Japan Earthquake, the highly organized assessment helped to successfully manage a total of 328 shelters with a total of 46,480 evacuees. The input and analysis of vast amounts of data was tedious work for staff members. However, a web-based assessment system that utilized mobile devices was thought to decrease workload and standardize the evaluation form. The necessary access of information should be controlled in order to maintain individuals' privacy. We successfully developed an access control system using IDs. By utilizing a unique numerical ID, users can access the input form or assessment table. This avoids unnecessary queries to the server, resulting in a quick response and easy availability, even with poor internet connection.
Study of Screen Design Principles for Visualizing Medical Records
Authors: Fujita Kenichiro  , Takemura Tadamasa  , Kuroda Tomohiro
Published: February 2025

To improve UX of EMR/EHR, the screen design principles for the visualization are required. Through the study of common attributes of medical records, we present four principles and show three screen designs by applying them.
Use of Robotic Pets in Providing Stimulation for Nursing Home Residents with Dementia
Authors: Naganuma M.  , Ohkubo E.  , Kato N.
Published: February 2025

Trial experiments utilized robotic pets to facilitate self-reliance in nursing home residents. A remote-control robot modeled clear and meaningful behaviors to elderly residents. Special attention was paid to its effects on mental and social domains. Employing the robot as a gaze target and center of attention created a cue to initiate a communication channel between residents who normally show no interest in each other. The Sony AIBO robot in this study uses commercially available wireless equipment, and all its components are easily accessible to any medical or welfare institution interested in additional practice of these activities.
Smart Houses and Uncomfortable Homes
Authors: Alm Norman  , Arnott John
Published: February 2025

In order for smart houses to achieve acceptance from potential beneficiaries they will need to match the users' expectation that their house is also their home, with the sense of privacy and control that this implies. Designers of this technology will need to be aware of findings in this regard from fields such as architecture and design ethnography.
Self-tuning behavioral analysis in AAL “FOOD” project pilot environments
Authors: Mora Niccolò  , Losardo Agostino  , De Munari Ilaria  , Ciampolini Paolo
Published: February 2025

Behavioral analysis, based on unobtrusive monitoring through environmental sensors, is expected to increase health awareness of AAL systems. In this paper, techniques for assessing behavioral quantitative features are discussed, suitable for detecting behavioral anomalies in an unsupervised fashion, i.e., with no need of defining target reference behaviors and of tuning user-specific threshold parameters. Such technique is being exploited for analyzing data coming from a set of European pilot sites, in the framework of the EU/AAL-JP project “FOOD”, specifically focused at kitchen activity. Simple results are illustrated, suitable for proof-of-concept validation.
Usability of PDF based Digital Textbooks to the Physically Disabled University Student
Authors: Oku Hidehisa  , Matsubara Kayoko  , Booka Masayuki
Published: February 2025

Digital textbooks have been expected for providing multimedia information that the print textbooks could not handle. The original digital textbook can be fabricated relatively easily by using Epub or DAISY. Print textbooks are, however, employed as textbooks in the most of lectures in universities. Therefore, it is considered necessary to convert the content of the print textbook to the digital textbook simply and in a short time. In this paper, the digital textbook using PDF files of the print textbook was suggested as one of simple and practical solution to provide an alternative textbook for the physically disabled university student who has difficulty handling the print textbook. Then usability of the suggested method was evaluated experimentally from the point of workload. Result of the experiment indicates that the digital textbook fabricated as the alternative one for the print textbook by the suggested method has a potential to reduce workload for the physically disabled university students. In addition, the digital textbook with larger LCD display needs less workload than the print textbook. Then, there are not so much difference in the workload between the print book which is smaller than the print textbook and the digital book made from the print book.
Examples of the application of the cause-effect ergonomic evaluation model to the wheelchair cushions
Authors: Barberà-Guillem Ricard  , Page Álvaro  , Laparra José  , Durà Juan V.
Published: February 2025

This article highlights the potential of the application of the cause-effect model for the ergonomic evaluation in the field of cushions. User involvement in the prescription and development of assistive devices have been identified a key aspect for positive interventions, although the reality is that we lack of systematic approaches and examples of best practices. The potential benefits are identified for the development of new products and in the prescription process. Additional research would be necessary to better link the characteristics of the cushions and users with the biomechanical and physiological performance of the interface cushion-user and the consequences measured in health, user perception and activity performance. This article shows examples of the relationship in this three levels from the point of view of the user perception.
Development of the Environmental Observation scale for the Visual Impaired
Authors: Sinoo Marianne  , Kort Helianthe
Published: February 2025

In order to raise awareness of professional care, an Environmental Observation scale for the Visual Impaired (EOVI) was developed. It is the purpose of this tool that professional caregivers learn to observe the nursing home environment and consequently propose and discuss potential changes in the short and long term. The mean time of filling out the EOVI in eight wards of a nursing home by two student researchers was 17 minutes (min mean 12, max mean 22,5). All of 10 optometry students reported that the EOVI changed their awareness.
How assistive technology changes the brain: the critical role of hippocampal-striatal interactions during cognitive training
Authors: Kéri Szabolcs
Published: February 2025

Recent studies found structural changes of the brain during cognitive training. These changes may be important when assistive technologies are used, for example, to boost memory and navigation abilities in patients with neurocognitive disorders. In this study, we show that extensive training with a platformer game simulating navigation and real-life spatial abilities, patients with Alzheimer's disease and amnestic mild cognitive impairmant exhibit an increased volume of the caudate nucleus in contrast to healthy individuals who display increased hippocampal volumes. These results raise the possibility that cognitive training and assistive technology may induce compensatory changes of brain structure in memory disorders.
The role of emotional intelligence in vocational rehabilitation with special respect to physically and cognitively disabled persons
Authors: Séllei Beatrix
Published: February 2025

In the past several years we have done a research about the processes and the actors of workforce rehabilitation in Hungary. We have discovered some strengths and flaws of that processes, and based on that research we would like to see a turning point in the near future. We think that one of the keys of the success in the processes of the rehabilitation of workforce is the attitude of the positive psychology. Based on our researches the emotional competences and psychological immunity have been found to have very important and special roles in the personal side of the rehabilitation process. The attitude of the employers and the society to the rehabilitation is also important based also on the emotional awareness.
Walking Characteristics of Persons with Visually Impairment Crossing Intersections with Audible Pedestrian Signals
Authors: Fujisawa Shoichiro  , Hirono Kyohei  , Ito Shin-ichi  , Sato Katsuya  , Sueda Osamu
Published: February 2025

The authors have been continuously researching tactile walking surface indicators and audible pedestrian signals used for crossing intersections. A pedestrian walks to the opposite side of the crosswalk using audible pedestrian signals. The position where the audible pedestrian signal is set up clearly influences the pedestrian's path. We performed an intersection crossing experiment with road noise for different positions where the audible pedestrian signal was set up. Vehicle road noise is thought to influence walking pedestrians. However, we could not clearly separate the difference of where the audible pedestrian signal was set up from the influence of the road noise. We therefore conducted the experiment with no road noise in the intersection to determine the difference of the position where the audible pedestrian signal was set up. The research results were compared with and without road noise to specify the road noise influence.
Validation of the ULCEAT methodology by applying it in retrospect to the Roboticbed
Authors: Nakamura Mio  , Suzurikawa Jun  , Tsukada Shohei  , Kume Yohei  , Kawakami Hideo  , Inoue Kaoru  , Inoue Takenobu
Published: February 2025

Background: In answer to the increasing demand for care by the Japanese oldest portion of the population, an extensive programme of life support robots is under development, advocated by the Japanese government. Roboticbed®(RB) is developed to facilitate patients in their daily life in making independent transfers from and to the bed. The bed is intended both for elderly and persons with a disability.
Views and considerations on ICT-AT competences development within the ENTELIS project: The Case of Cyprus
Authors: Mavrou Katerina  , Meletiou-Mavrotheris Maria
Published: February 2025

This submission presents part of the EU funded project ENTELIS (European Network for Technology Enhanced Learning in an Inclusive Society), which aims to address issues of digital divide and digital equity for people with disabilities of all ages, and to increase participation and social inclusion. This paper presents the main activities and outcomes of the research work package of the project (WP3), from one of the partner countries, Cyprus. The aim of the conducted research was to identify the conceptions and beliefs of end-users, trainers, and service/technology providers and professionals, on the multifaceted relation between ICT/ICT-AT (Information Communication Technology – Assistive Technology) and learning of technology. Data collection involved the development and administration of three semi-structured interview protocols, one for each group of participants, in five different European countries. Results have been compiled to develop a State-of-Art Report on ICT and ICT-AT education and learning, highlighting the main trends, as well the main present barriers, emergent and future needs in terms of analysis, acquisition and reinforcing of digital competences bridging the worlds of education and work.
The Role of Medical Transcriptionists in Producing High-Quality Documentation
Authors: Johansen Monika A.  , Pedersen Åse-Merete  , Ellingsen Gunnar
Published: February 2025

This study aimed to investigate the quality-assurance work conducted by medical transcriptionists in the production of medical records, and the implications of these findings when designing a structured electronic patient record (EPR) system in which physicians are supposed to write documentation themselves. Both qualitative and quantitative methods were applied. Qualitative data were collected through informal discussions and focus-group interviews. Quantitative data were collected through the medical transcriptionists' daily recordings of their quality-assurance work. The results show the many essential quality-assurance tasks conducted by medical transcriptionists and the extent of this work. Each medical transcriptionist performs an average of more than six corrections per day, and approximately one of three dictations are corrected. We suggest that these correction and quality-assurance tasks need to be compensated for when designing and developing new structured EPRs. Some quality-assurance tasks may also advantageously be performed by secretaries in the future.
Agent-based agreement over concept meaning using contrast sets
Authors: Adrian Kemo  , Plaza Enric
Published: February 2025

We develop a model for 2 agents to reach agreement over concept meaning in specific contexts. The model is based on an argumentation-based communication that engage the agents in a process of mutual adaptation using argumentation to reach an agreement over concept meaning. Our approach is to model concept meaning using the semiotic triangle and the notion of contrast sets. We implement and evaluate present three common sense scenarios where two agents argue and reach agreements over the contextual meaning of concepts.
Domain adaptation problem in statistical machine translation systems
Authors: Chinea-Rios Mara  , Sanchis-Trilles Germán  , Casacuberta Francisco
Published: February 2025

Globalization suddenly brings many people from different country to interact with each other, requiring them to be able to speak several languages. Human translators are slow and expensive, we find the necessity of developing machine translators to automatize the task. Several approaches of Machine translation have been develop by the researchers. In this work, we use the Statistical Machine Translation approach. Statistical Machine Translation systems perform poorly when applied on new domains. The domain adaptation problem has recently gained interest in Statistical Machine Translation. The basic idea is to improve the performance of the system trained and tuned with different domain than the one to be translated. This article studies different paradigms of domain adaptation. The results report improvements compared with a system trained only with in-domain data and trained with all the available data.
Analysis of the evolution of breast tumours using strain tensors
Authors: Abdel-Nasser Mohamed  , Moreno Antonio  , Puig Domenec
Published: February 2025

Nowadays, computer methods and programmes are widely used to detect, analyse and monitor breast cancer. Physicians usually try to monitor the changes of breast tumours during and after the chemotherapy. In this paper, we propose an automatic method for visualising and quantifying breast tumour changes for patients undergoing chemotherapy treatment. Given two successive mammograms for the same breast, one before the treatment and one after it, the proposed system firstly applies some preprocessing on the mammograms. Then, it determines the optical flow between them. Finally, it calculates the strain tensors to visualise and quantify breast tumour changes (shrinkage or expansion). We assess the performance of five optical flow methods through landmark-errors and statistical tests. The optical flow method that produces the best performance is used to calculate the strain tensors. The proposed method provides a good visualisation of breast tumor changes and it also quantifies them. Our method may help physicians to plan the treatment courses for their patients.