bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrating Universal Design and Accessibility into Computer Science Curricula – A Review of Literature and Practices in Europe
Authors: Nishchyk Anna  , Chen Weiqin
Published: February 2025

The absence of accessibility in many ICT systems and products indicates insufficient accessibility competence among designers, developers and project managers. Higher education institutions play an important role in raising awareness and competence and in preparing universal design and digital accessibility specialists. Although many universities are teaching accessibility as part of the biomedical, special education and disability studies programmes, few provide accessibility education in technical specialisations such as computer science. By combining literature review and manual search and inspection we aim at investigating the state of the art in integrating universal design and digital accessibility into the curricula of computer sciences-related programmes.
Belonging at ITB: The Use of Photovoice Methodology (PVM) to Investigate Inclusion and Exclusion at ITB Based on Ethnicity and Nationality from a Student Perspective
Authors: Darby Fionnuala
Published: February 2025

The aim of this research is to sensitise readers to issues of inclusion and exclusion on campus at ITB in order to deepen our capacity to empathise with our students in a meaningful, accessible and evocative way in relation to ethnicity and/or nationality. Using Photovoice Methodology (PVM), the objective is to investigate the use of space and place that students occupy on campus. The outcomes of the research through images and text reveal surroundings on campus that students find inclusive and exclusive. The paper begins with a review of the literature salient to the topic. Then follows a description of PVM as a site of social import for inclusion and belonging at ITB so that the students could express inclusion and exclusion from their perspectives. The analysis, findings and discussion interrogates the images and text to reveal patterns, draw conclusions and provide recommendations on how the campus of ITB can be more inclusive for all students.
Universal Access in Heritage Site: A Case Study on Jantar Mantar, Jaipur, India
Authors: Vardia Shweta  , Khare Ajay  , Khare Rachna
Published: February 2025

One of the key requirements for an inclusive and sustainable society is that everyone should be able to participate in and enjoy the social, economic and cultural assets of that society. For some people, barriers exist which make visiting and using heritage buildings and places difficult or sometimes impossible. Making the built heritage more accessible in an appropriate and sensitive manner can increase awareness and appreciation of its cultural, social and economic value. The roots of universal access are grounded in equal opportunity, nondiscrimination and designing for diversity. Architects play an important role in creating accessibility awareness in the society. Thus it is important to impart ‘universal design’ teaching in architecture schools that will bring awareness amongst budding architects and planners who will respond to the need of diverse population and will create awareness in the society. This paper is and outcome of the academic exercise conducted for the Masters in Architectural Conservation Design Studio at the site of Jantar Mantar with diverse users and proposing solutions for physical and intellectual access to the site. The paper aims to develop awareness, sense of responsibility among students through universal design education for a heritage site and further discuss the possible universal design interventions at World Heritage Site of Jantar Mantar, Jaipur.
Evaluating Universal Design in Built Environments – A Scoping Project
Authors: Watchorn Valerie  , Grant Cathryn  , Tucker Richard  , Hitch Danielle  , Frawley Patsie  , Ang Susan  , Aedy Kathryn  , Gohil Apeksha
Published: February 2025

This project aimed to scope existing methods of evaluating the application of universal design to built environments and to explore relevant knowledge of key stakeholders, such as architects, access consultants and people who experience disability. The project commenced in 2017. Ethics approval was gained and a mixed methods approach was employed. Methods of data collection included electronic survey and in-depth interview. Early survey findings are reported in this paper. A descriptive approach was used to analyse quantitative data. A total of 157 survey responses were received from across Australia (83%) and internationally (16.6%). Preliminary findings indicate that most survey respondents (72%) had been involved in the process of applying universal design to the design of built environments. Although evaluating the application of universal design was rated as “extremely important” by 85% of respondents, only 36% had such experience. Of these, 74% had used specific tools for this purpose. Non-standardised checklists and access audits were the most frequently used and preferred tools. Overall, stakeholders perceived themselves to have ‘some knowledge’ on universal design theory and application. This project offers insight into how universal design is understood and applied to the design of built environments. Findings suggest that evaluation is less common than application and that there is a need to strengthen existing methods of evaluation to provide greater detail on universal design processes and outcomes.
A Status of Universal Design in Danish Architectural Policies
Authors: Grangaard Sidse
Published: February 2025

In 2009, Denmark ratified the Convention on the Rights of Persons with Disabilities and thereby acknowledged that Denmark, through policies, plans and programmes, is to work for equal opportunities for persons with disabilities and promote Universal Design in the development of standards, guidelines and e.g. architectural policies. An architectural policy is an acknowledged tool for enhancing the quality of buildings and their surroundings. An important quality of architecture is the ability to include everybody, regardless of gender, sexuality, ethnicity, culture or disability. In 1994, 2004 and again in 2014, Denmark published a national architectural policy. Inclusion as an architectural quality was included, but the focus and terminology changed with every new policy. Based on a desk study about architectural policies, this paper presents how Universal Design is included in Danish municipal architectural policies. On a local level, 34 of 98 Danish municipalities have formulated an architectural policy. None of the architectural policies applies Universal Design, but a few operate with the concept of accessibility, primarily focusing on accessibility for all. This paper discusses how the absence of Universal Design in the architectural policies can be interpreted and how Universal Design can be introduced into future policies.
A Review of Universal Design in Professional Architectural Education: Recommendations and Guidelines
Authors: O Shea Eoghan C.  , Basnak Megan  , Bucholz Merritt  , Steinfeld Edward
Published: February 2025

There is a growing understanding of the widespread societal benefits of a universal design (UD). To achieve these benefits, architectural professionals must have the knowledge and skills to implement UD in practice. This paper investigates UD in the context of recent architectural education. It traces changing attitudes in the culture of architectural education, and the evolving perception of UD as an important aspect of architectural practice. Specifically, continuous professional development (CPD) can advance knowledge of UD within a human-centred design paradigm. An overview of courses and resources available to architectural professionals in a number of countries in Europe and the USA is provided. Specific recommendations and guidelines are presented that were derived from a process of engagement with Irish and international architectural professionals, architectural educators and client bodies through online survey, workshops, interviews and CPD prototypes. The research described was commissioned by the Centre for Excellence in Universal Design at the National Disability Authority, working in partnership with the Royal Institute of the Architects of Ireland (RIAI).
Beyond Resilience: Exploring a Concept of Place-Based Healing for Children in War
Authors: Al-Azzawi Sana  , İnalhan Göksenin
Published: February 2025

Millions of children in the world today suffer greatly in war torn and conflict. The role of the built environment has been overlooked in the study of children's resilience. The interdependent relationship between children and environment, examined as children's experience of place, can act as a lens from which we can view children's resilience in chaotic environments. This research explores a concept of place-based healing through understanding how children experience war from an environmental perspective. The study is based on three narrative accounts of young Iraqi women who have; as children, lived in unstable and war-torn environments. Their stories, gathered through interviews and prolonged correspondence, will, through an interpretive phenomenological analysis, attempt to uncover the deep meanings of resilience and its relationship to place-meanings, mainly through attachments, and what implications that might have on a more inclusive design for the healing child.
Empathy Enabled by Critical Design – A New Tool in the Universal Design Toolbox
Authors: Torkildsby Anne Britt
Published: February 2025

The next generation of designers, architects, engineers, etc. have a rough road ahead. Due to their strong role in shaping our future, they must face issues relating to inclusion, equality, and diversity, ensuring that the ‘Elder Boom’ generation have safe, useful, and independent housing, workplaces are planned and constructed in such a way that they are usable by the broader population, and social justice and equality are in focus when designing public buildings and spaces so as to eliminate prejudice and discrimination.
Legibility in Print Text for People with Impaired Vision
Authors: Nersveen Jonny  , Kvitle Anne Kristin  , Johansen Eivind Arnstein
Published: February 2025

Research on the level of legibility and readability of text are mainly based on subjects with normal eyesight. In Norway, about 180.000 of the population is diagnosed with a visual impairment. In our study, over 800 visually impaired subjects participated in an experiment, which is so far the largest study of legibility and readability ever conducted for this this group of observers. The observers were recruited through the Norwegian association for blind and visually impaired (Norges Blindeforbund) and the number of subjects reveals that the experiment included 4.6% of the population with visual impairments. In the experiment, the characteristics to be studied included different typefaces, serifs and sans serifs, font sizes, weighting and contrast. We can conclude that the uncontrolled home based experiment was successful regarding the volume of respondents, which resulted in significant findings. This paper gives an overview of the design choices according to experiment method and selection of legibility variables.
Turning Away from an Anthropocentric View on Robotics
Authors: Soma Rebekka  , Herstad Jo
Published: February 2025

The field of artificial intelligence and robotics has long adapted an anthropocentric view, putting the intelligence structures of humans as the guiding requirements for developing artificial intelligence. This paper use observations of a robotic lawnmower to demonstrate how we can apply Jakob von Uexküll's Umwelt theory to describe robots and robot behavior to further our understanding of the behavior of different kinds robots.
Development of Data Validation Rules for Therapeutic Area Standard Data Elements in Four Mental Health Domains to Improve the Quality of FDA Submissions
Authors: Garza Maryam  , Seker Emel  , Zozus Meredith
Published: February 2025

Data standards are now required for many submissions to the United States Food and Drug Administration (FDA). The required standard for submission of clinical data is the Clinical Data Interchange Standards Consortium (CDISC) Submission Data Tabulation Model (SDTM). Currently, 45 business rules and 115 associated validation rules exist for SDTM data. However, such rules have not yet been developed for therapeutic area data standards developed under the last reauthorization of the Prescription Drug User Fee Act (PDUFA V). The objective of this effort was to develop data validation rules for new therapeutic area data standards in four mental health domains, assess the metadata required to associate such rules with standard data elements, and assess the level of data validation possible for therapeutic area data elements.
“Real-World” De-Identification of High-Dimensional Transactional Health Datasets
Authors: Moselle Kenneth A.  , Robertson Stan  , Koval Andriy
Published: February 2025

This paper presents a framework for addressing data access challenges associated with secondary use of high-dimensional transactional datasets that have been extracted from electronic health/medical records (EHRs). These datasets are subject to the data de-identification “curse of dimensionality” [1] which manifests as substantial challenges to preserving analytical integrity of data contents when high-dimensional datasets must be de-identified and deemed free of Personal Information (PI) prior to disclosure. A large array of methods can achieve this objective – for low dimensional datasets. However, these methods have not been scaled up to the types of high-dimensional data that must be sourced from the transactional EHR if the objective is specifically to generate products that can inform point-of-care clinical decision-making. The Applied Clinical Research Unit (ACRU) in Island Health is implementing a process that addresses key privacy challenges inherent in disclosures of high-dimensional transactional health data. This paper presents a schematic and abbreviated rendering of key principles and processes on which the ACRU approach is based.
A Qualitative Evidence Synthesis of Adverse Event Detection Methodologies
Authors: Penning Melody  , Gadde Mary  , Zozus Meredith
Published: February 2025

The detection of adverse events (AE) and their relationship to data quality issues through processes or medical error is not currently understood. In order to study the relationship between adverse events and data quality it is necessary to capture as many AE as possible and computational methods will be necessary to handle the large volumes of patient data. The need for adverse event detection methodology has been repeatedly noted but standard AE detection methods are not in place in the US. At present, there are several widely enforced strategies for AE detection but none are both highly successful and computational. In order to maximize AE detection, we have conducted a qualitative evidence synthesis of these approaches. The categorization of the circumstances of the event as well as the resulting patient safety problem and the method of detection provide a means to synthesize AE detection solutions. This has resulted in a set of 130 AE detection algorithms in 9 circumstances categories and 41 patient safety problem categories. This work begins the effort of consolidation of current safety metrics in an effort to produce a common set of safety measures.
Adoption Strategies for Electronic Patient Portals: Employing Advanced Data Mining and Analytics
Authors: Bola Jagpaul  , Charow Rebecca  , Hope Jennifer  , Bakas Vasiliki  , Bishop Lembi  , Brudnicki Selina  , Williams Laura  , Wiljer David
Published: February 2025

Patient portals are becoming increasingly available at medical institutions, worldwide. Reporting of patient portal adoption strategies is scarce. A multi-institutional health network in Toronto, Canada is seeing great success with its portal adoption by patients, with an annual adoption rate of almost 65%. In the literature, annually adoption rates in Canada range between 5% and 10%. This significant difference and high adoption is attributed to a multifactorial approach that includes a dedicated operations team to engage with patients and staff, a co-design approach for portal development and more recently, new data-driven strategies to affirm and recommend promotion approaches. Advanced data mining and analytics are promising tools to help improve the adoption rate. This paper will describe five analytics tools used to describe and potentially improve patient portal adoption rates.
Linking Health Records with Knowledge Sources Using OWL and RDF
Authors: Chelsom John  , Dogar Naveed
Published: February 2025

This paper describes a method by which the Web Ontology Language (OWL) can be used to specify a highly structured health record, following internationally recognised standards such as ISO 13606 and HL7 CDA. The structured record is coded using schemes such as SNOMED, ICD or LOINC, with the coding applied statically, on the basis of the predefined structure, or dynamically, on the basis of data values entered in the health record. The highly structured, coded record can then be linked with external knowledge sources which are themselves coded using the Resource Description Framework. These methods have been used to implement dynamic decision support in the open source cityEHR health records system. The effectiveness of the decision support depends on the scope and quality of the clinical coding and the sophistication of the algorithm used to match the structured record with knowledge sources.
Design and Implementation of a Single Source Multipurpose Hospital-Wide Clinical Trial Registry
Authors: Sommer Marcus  , Kirchner Melanie  , Gulden Christian  , Egloffstein Sainab  , Lux Michael Patrick  , Beckmann Matthias Wilhelm  , Mackensen Andreas  , Prokosch Hans-Ulrich
Published: February 2025

IT-supported patient recruitment, serious adverse event reporting as well as making information about clinical trials accessible to the public on websites, are still major challenges in clinical trials. Too often the distribution of information about trials being performed within a hospital across numerous institutions and IT systems is a barrier to provide efficient IT support for such scenarios. Thus, the essential prerequisite to mastering those challenges is to achieve one single point of truth with adequate, complete, accurate and up-to-date information about all clinical trials running at a hospital. We describe the design and implementation of such a single source clinical trial registry serving multiple purposes at a university hospital.
Extraction and Prevalence of Structured Data Elements in Free-Text Clinical Trial Eligibility Criteria
Authors: Gulden Christian  , Landerer Inge  , Nassirian Azadeh  , Altun Fatma Betül  , Andrae Johanna
Published: February 2025

Understanding the prevalence of structured data elements within clinical trial eligibility criteria is a crucial step for prioritizing integration efforts to supported automated patient recruitment into clinical trials based on electronic health record data. In this work, we extract data elements from 50 clinical trials using a collaborative, crowd-sourced, and iterative method. A total of 1.120 criteria were analyzed, and 204 unique data elements were extracted. The most prevalent elements were diagnosis code, procedure code, and medication code, occurring in 414 (37 %), 112 (10 %), and 91 (8 %) of eligibility criteria respectively. The results of this study may aid in optimizing data integration and documentation efforts in the EHR to support clinical trial eligibility determination.
CrowdHEALTH: Big Data Analytics and Holistic Health Records
Authors: Gallos Parisis  , Aso Santiago  , Autexier Serge  , Brotons Arturo  , De Nigro Antonio  , Jurak Gregor  , Kiourtis Athanasios  , Kranas Pavlos  , Kyriazis Dimosthenis  , Lustrek Mitja  , Magdalinou Andrianna  , Maglogiannis Ilias  , Mantas John  , Martinez Antonio  , Menychtas Andreas  , Montandon Lydia  , Picioroaga Florin  , Perez Manuel  , Stanimirovic Dalibor  , Starc Gregor  , Tomson Tanja  , Vilar-Mateo Ruth  , Vizitiu Ana-Maria
Published: February 2025

The aim of this paper is to present examples of big data techniques that can be applied on Holistic Health Records (HHR) in the context of the CrowdHEALTH project. Real-time big data analytics can be performed on the stored data (i.e. HHRs) enabling correlations and extraction of situational factors between laboratory exams, physical activities, biosignals, medical data patterns, and clinical assessment. Based on the outcomes of different analytics (e.g. risk analysis, pathways mining, forecasting and causal analysis) on the aforementioned HHRs datasets, actionable information can be obtained for the development of efficient health plans and public health policies.
A REST Service for the Visualization of Clinical Time Series Data in the Context of Clinical Decision Support
Authors: Unberath Philipp  , Prokosch Hans-Ulrich  , Kraus Stefan
Published: February 2025

Background: University Hospital Erlangen provides clinical decision support (CDS) functions in the intensive care setting, that are based on the Arden Syntax standard. These CDS functions generate extensive output, including patient data charts. In the course of the migration of our CDS platform we revised the charting tool because although the tool was generally perceived as useful, the clinical users reported several shortcomings.
Complementing Medical Records with Precalculated Data Items to Facilitate Decision Support and Phenotyping
Authors: Kraus Stefan  , Prokosch Hans-Ulrich
Published: February 2025

The Arden Syntax is a standard for clinical decision support functions in the form of Medical Logic Modules (MLMs). While the data type system of the early versions was limited to flat lists, later versions introduced an object type, supporting complex data structures, even up to entire electronic medical records (EMRs). Such objects are static insofar as their structure cannot be modified at MLM runtime. University Hospital Erlangen uses an experimental Arden Syntax version termed PLAIN, which provides an integrated mapper for arbitrary data structures, including entire EMRs. To facilitate knowledge encoding and reduce MLM complexity, we searched for a way to complement patient records with precalculated data items. We modified the object data type in two ways. The first was to include a statement for the explicit creation of new attributes; the second was to implicitly create an attribute whenever a value is assigned to a previously non-existing attribute. As a proof of concept, we complemented the ventilation section of every accessed EMR with a patient-individual recommendation for the expiratory tidal volume. A means to extend the structure of an object at runtime provides several advantages. The precalculated data items need no longer be calculated by the MLMs themselves, which reduces complexity and facilitates code maintenance. This might be beneficial not only for clinical decision support, but also with respect to the use of Arden Syntax language constructs for phenotyping queries, as well as with respect to the frequently required preprocessing of EMR data.
An App to Improve Colorectal Carcinoma Follow-Up
Authors: Wyss Lukas  , Stierlin Martin
Published: February 2025

Cancer is the second leading cause of death in Switzerland. Patients who have been diagnosed with colorectal carcinoma and received curative surgical R0-Resection frequently relapse or develop metastases in the first 2–3 years postoperatively. With timely detection through appropriate aftercare, some of these patients could potentially be cured. In order to optimize follow-up adherence, we implemented a study environment based on an app, which reminds patients to schedule their follow-up appointments timely with their GP or specialist. In addition, the study environment comprises a central server to collect pseudonomized study data regarding follow-up compliance. The next step will be a study to evaluate the potential impact of such an app. We present the outline of the planned study.
Managing Influenza Outbreaks Through Social Interaction on Social Media: Research Transformation Through an Engaged Scholarship Approach
Authors: Bunker Deborah  , Ehnis Christian  , Shahbazi Maryam
Published: February 2025

This research project seeks to develop our understanding of the spread of influenza through social interactions, individual and group activities as well as through public attitudes towards official health responses as they occur on social media platforms. We propose to conduct a series of workshops to: 1) develop a deep understanding of current social media crisis communications practices during influenza outbreaks; and 2) to assist public health agencies and health professionals to manage these outbreaks by exploring new strategies, frameworks and approaches to the potential role and use of social media platforms. The research proposal and methods outlined in this paper describe a transformational approach that bridges the divide between academics, practitioners and the general public through engaged scholarship which involves all constituent groups equally in the design, execution and co-creation of the research themes, problem focus and proposed solutions.
Intelligent Conversational Agents in Healthcare: Hype or Hope?
Authors: Denecke Kerstin  , Tschanz Mauro  , Dorner Tim Lucas  , May Richard
Published: February 2025

New developments in healthcare require an increased disease self-management of patients. Intelligent digital assistants equipped with a conversational user interface are intended to support patients in this challenging task by providing reminders, answering questions, or supporting in self-monitoring tasks. In this paper, we study the potentials of intelligent conversational agents in healthcare. We realized three systems for three different use cases (patient education, disease management, self anamnesis). Based on these implementations and experiences with usability tests, we performed an analysis of strengths, weaknesses, opportunities and threats (SWOT) using a questionnaire. The results show that conversational agents used in healthcare applications can be helpful. However, they have to be integrated into the healthcare process, supporting also the interaction between the healthcare team and a patient. In order to be attractive for a long-term usage, the scope of operation should autonomously adapt to the current health situation of a patient to provide relevant functionality as needed.
Photographic LVAD Driveline Wound Infection Recognition Using Deep Learning
Authors: Lüneburg Noël  , Reiss Nils  , Feldmann Christina  , van der Meulen Pim  , van de Steeg Michiel  , Schmidt Thomas  , Wendl Regina  , Jansen Sybren
Published: February 2025

The steady increase in the number of patients equipped with mechanical heart support implants, such as left ventricular assist devices (LVAD), along with virtually ubiquitous 24/7 internet connectivity coverage is motive to investigate and develop remote patient monitoring. In this study we explore machine learning approaches to infection severity recognition on driveline exit site images. We apply a U-net convolutional neural network (CNN) for driveline tube segmentation, resulting in a Dice score coefficient of 0.95. A classification CNN is trained to predict the membership of one out of three infection classes in photographs. The resulting accuracy of 67% in total is close to the measured expert level performance, which indicates that also for human experts there may not be enough information present in the photographs for accurate assessment. We suggest the inclusion of thermographic image data in order to better resolve mild and severe infections.
Patient Record Linkage for Data Quality Assessment Based on Time Series Matching
Authors: Eggerth Alphons  , Hayn Dieter  , Kreiner Karl  , Veeranki Sai  , Traninger Heimo  , Modre-Osprian Robert  , Schreier Günter
Published: February 2025

Background: Huge amounts of data are collected by healthcare providers and other institutions. However, there are data protection regulations, which limit their utilisation for secondary use, e.g. research. In scenarios, where several data sources are obtained without universal identifiers, record linkage methods need to be applied to obtain a comprehensive dataset.
Electronic Medical Records for Mental Disorders: What Data Elements Should These Systems Contain?
Authors: Hashemi Nasim  , Sheikhtaheri Abbas  , Hashemi Niyoosha-sadat  , Rawassizadeh Reza
Published: February 2025

Identifying data elements of electronic medical record systems (EMRs) is one of the essential steps for the comprehensive and proper health data collection. The aim of this study was to determine the data elements required for EMRs in the field of mental disorders. We conducted a literature review and also we randomly selected 50 medical records of patients with mental disorders to identify a preliminary list of essential data elements for EMRs for mental disorders. Then, 33 mental health specialists were surveyed to validate the list of data elements through a questionnaire. We identified that health data elements of EMRs for patients with mental disorders can be categorized into seven classes (demographic data of patients, administrative data of physicians, administrative data of patients, history, clinical data, treatment, and financial data) and 10 subclasses. After the validation process, 140 essential data elements for EMRs for patients with mental disorders were introduced.
Evaluation of Chatbot Prototypes for Taking the Virtual Patient's History
Authors: Reiswich Andreas  , Haag Martin
Published: February 2025

In medical education Virtual Patients (VP) are often applied to train students in different scenarios such as recording the patient's medical history or deciding a treatment option. Usually, such interactions are predefined by software logic and databases following strict rules. At this point, Natural Language Processing/Machine Learning (NLP/ML) algorithms could help to increase the overall flexibility, since most of the rules can derive directly from training data. This would allow a more sophisticated and individual conversation between student and VP. One type of technology that is heavily based on such algorithmic advances are chatbots or conversational agents. Therefore, a literature review is carried out to give insight into existing educational ideas with such agents. Besides, different prototypes are implemented for the scenario of taking the patient's medical history, responding with the classified intent of a generic anamnestic question. Although the small number of questions (n=109) leads to a high SD during evaluation, all scores (recall, precision, f1) reach already a level above 80% (micro-averaged). This shows a first promising step to use these prototypes for taking the medical history of a VP.
Heart Rate Variability from Wearables: A Comparative Analysis Among Standard ECG, a Smart Shirt and a Wristband
Authors: Reali Pierluigi  , Tacchino Giulia  , Rocco Giulia  , Cerutti Sergio  , Bianchi Anna Maria
Published: February 2025

Heart Rate Variability (HRV) derived from standard one-lead electrocardiography (ECG) was compared with HRV computed by a commercial ECG shirt and with the inter-beat-intervals (IBI) measured by a research-grade photoplethysmographic (PPG) wristband. Signals from 8 subjects were recorded in three experimental phases: during sit; in upright position (“stand”); during controlled respiration. HRV and IBI from both the wearables were computed online (i.e. during the experiment) and stored for subsequent analyses, while the standard ECG was processed offline with state-of-the-art methods to obtain a clean reference HRV. Shirt and wristband signals accuracies were assessed, with respect to the reference HRV, through a between-phase and a beat-to-beat analyses. The former considered several time and frequency domain parameters; the latter was carried out through the Bland-Altman method. Time and frequency domain parameters computed from shirt HRV resulted very similar to the ones extracted from the reference HRV and generally more accurate than the parameters computed from wristband IBI. The Bland-Altman analysis showed that wristband IBI is significantly different from ECG-derived HRV, especially during “stand”. Therefore, our results support the idea that some care should be paid in the interpretation of online PPG-derived IBI, while HRV measures online-derived from ECG-shirts seem to be more reliable in the analyzed conditions. The high number of missing beats also suggest that the design of wristband devices should be taken into account to reduce the rate of incorrect measurements, by maximizing sensor adhesion to the skin.
Microservice Architecture to Provide Medical Data Management for Decision Support
Authors: Kopanitsa Georgy
Published: February 2025

Efficient Interaction between Hospital information (HIS) and laboratory information systems (LIS) provide a smooth laboratory testing process and data consistency. The current software ecosystem can be characterized by its rapid changes that can lead to breaks in HIS-LIS interaction and problems with semantic interoperability of the systems. To avoid such problems developers can clusterize software applications into small, easily supportable functional units that can be changed on demand without effecting other pieces of software. This approach commonly referred to as microservice architecture. The goal the research is to develop a FHIR based microservice platform that connects HIS, LIS and a Clinical decision support system (CDSS) into unified information space. A microservice platform has been implemented and now is in the production operation processing around 15000 orders a day.
Systematic Review on Features Extracted from PPG Signals for the Detection of Atrial Fibrillation
Authors: Girón Nathalia A.  , Millán César A.  , López Diego M.
Published: February 2025

Problem: Atrial Fibrillation (AF) is the most common sustained cardiac arrhythmia. It constitutes one of the leading cardiovascular health problems, affecting 33.5 million people of the world's population. AF detection is commonly made by an Electrocardiogram (EEG). Nevertheless, with the advances in biomedical sensors, innovative approaches have emerged on detecting AF based on the analysis of signals acquired by photoplethysmography (PPG) sensors.
Personalized Assistance for Patients with Chronic Diseases Through Multi-Level Distributed Healthcare Process Assessment
Authors: Elkhovskaya Liubov  , Kabyshev Maxim  , Funkner Anastasia  , Balakhontceva Marina  , Fonin Vladimir  , Kovalchuk Sergey
Published: February 2025

The study is aimed towards the assessment and improvement of complex informational, healthcare, and medical processes existing in the distributed environment during monitoring and providing healthcare services to patients with chronic diseases. The study is performed within a framework of a project for development a complex unified medical information system capable to work on large scale (on population-level). The presented experimental studies show that predictive modelling enables unified detection of remote patients' state using self-measuring and distributed electronic health records. In addition, an experimental mobile application is presented as a tool for data collection and user-system interaction during chronic disease monitoring and treatment.
Ischemic Stroke: Treatments to Improve Neuronal Functional Recovery in vitro
Authors: Pires Monteiro Sara  , Covelo Joana  , Levers Marloes  , Hassink Gerco  , le Feber Joost  , Frega Monica
Published: February 2025

The understanding of the neurophysiological processes that occur in the areas that surround the core of a brain infarct is crucial for the creation of new therapies and treatments to improve neuronal recovery. The present study aims to demonstrate that both rodent and human neuronal networks lose their activity under low oxygen conditions and that electrical stimulation can increase the probability of recovery. Hypoxia was induced in rodent and human neurons and the effects of electrical stimulation were assessed in the rat cultures. The results obtained show that neuronal activation, in the form of electrical stimulation, has the potential to maintain the networks at higher levels of activity and, therefore, to improve cell survival. This study will open the way for new treatment strategies based on brain-stimulation to enhance neuronal recovery and will be of large relevance for patients, families, and society.
Extraction from Medical Records
Authors: Dudchenko Aleksei  , Dudchenko Polina  , Ganzinger Matthias  , Kopanitsa Georgy
Published: February 2025

Despite using electronic medical records, free narrative text is still widely used for medical records. Such text cannot be analyzed by statistical tools and be proceed by decision support systems. To make data from texts available for such tasks a supervised machine learning algorithms might be successfully applied. In this work, we develop and compare a prototype of a medical data extraction system based on different artificial neuron networks architectures to process free medical texts in Russian language. The best F-score (0.9763) achieved on a combination of CNN prediction model and large pre-trained word2vec model. The very close result (0.9741) has shown by the MLP model with the same embedding.
Affordable Personalized, Immersive VR Motor Rehabilitation System with Full Body Tracking
Authors: Adolf Jindrich  , Dolezal Jaromir  , Lhotska Lenka
Published: February 2025

During the last decade, we have experienced fast development of virtual reality technology combined with various sensors and applications in different fields. The devices and applications are more easily accessible for the broader public. In this article, we describe a feasibility study of an affordable personalized, immersive VR motor rehabilitation system with full body tracking. While virtual reality rehabilitation is a relatively new field, several applications were already proven more effective than traditional rehabilitation programs. The applied methods utilize VR headset HTC Vive and HTC trackers together witch inverse kinematics algorithms to provide full body tracking. For that, we provide a framework for individual body calibration. The main result of the study is a developed virtual environment with guided rehabilitation scenarios based on personalized body calibration. We have proven that this approach can be used in personalized rehabilitation programs.
Modern technical solutions for new and reconstructed sinter plants. Report 2. Mixing and pelletizing of agglomeration batch
Authors: Frolov Yu. A. , Kazantsev E. A., , Chukin D. M.
Published: February 2025

The concept according to which the sinter mix should be mixed in a waterfall mode has been confirmed in industrial conditions. It has been established that with increased moisture of the mix, not only mixing but also granulation of the mix can be carried out in the granulating drum. The homogeneity of the mix by granulometric composition should be limited by the conditions of segregation of the mix by size and, accordingly, the fuel content by the height of the bed on the sinter machine. Drum devices fully comply with this requirement, the degree of homogeneity of the mix after which is at the level of 90%. The use of intensive mixers that exceed the specified limits of homogeneity when using concentrate-based mix, complex design, a large number of drives, conditions of their maintenance, as well as due to high specific energy consumption, is not fit at Russian sinter plants. At sinter plants sintering concentrate-based mixes, granulating drums should be installed in the mix sintering building and not at zero level. They should have design capabilities for regulating both the rotation speed and the angle of inclination. With the existing design of the granulating drum, the mix load and the rational rotation speed, the optimal degree of its filling (11–13%) should be set by regulating the angle of inclination of the apparatus. When designing and upgrading both apparatuses, a wide range of ratios between water consumption in them (from 20/80 to 80/20) should be provided for in order to select a rational value during setup. Moistening of the mix should be limited to ~60% of the of granulating drum length and performed in a drip mode to enable granulation of the mix “on a drop water” as nucleating centers. It is efficient to equip the pelletizing drum with a system for heating the batch with steam up to 60 °C to minimize the condensation of water vapor in the mix bed and increase the speed of its sintering. It is recommended to equip the granulating drum with removable conical inserts to optimize the distribution of the mix bed along the length of the apparatus in combination with a rational angle of inclination. The mixing drum and granulating drum of Russian manufacturers meet the modern requirements imposed on them in the entire range of productivity for iron ore raw materials and mix.
The Influence of Capital Structure and Business Risk on Company Value with Company Size as a Moderating Variable
Authors: Tika Febryana  , Muanifah Suciati
Published: February 2025

This research aims to determine the influence of Capital Structure and Business Risk on Company Value with Company Size as a moderating variable in agricultural sector companies listed on the Indonesia Stock Exchange in 2018-2022. The type of research used in this research is descriptive research with a quantitative approach. The data source used is secondary data with a data collection method, namely documentation. Research was conducted on 9 agricultural sector companies listed on the Indonesia Stock Exchange in 2018-2022. The analytical tool used in this research is analysis with the help of the E-Views version 12 program. Based on the test results using the f test, it shows a result of 0.008982, proving that Capital Structure and Business Risk have a simultaneous effect on Company Value. This research also uses a t test showing a result of 0.0057 proving that Capital Structure has an effect on Company Value, and showing a result of 0.1543 proving that Business Risk has no effect on Company Value. This research also shows a result of 0.9312 that company size is unable to moderate the influence of capital structure on company value. And with a result of 0.2389, company size is unable to moderate the influence of business risk on company value.
Influence of Intellectual Capital on Financial Distress in Retail Sub-Sector Companies on Indonesia Stock Exchange
Authors: Sisca  , Putri Debi Eka , Putra Hendrick Sasimtan , Siregar Liper , Aswatama Gian
Published: February 2025

The purpose of this study is to examine: 1. The overview of intellectual capital and financial distress in retail sub-sector companies listed on the Indonesia Stock Exchange. 2. The influence of intellectual capital on financial distress in retail sub-sector companies listed on the Indonesia Stock Exchange. This study employs a library research design and uses data from all retail sub-sector companies on the Indonesia Stock Exchange on December 31, 2022. The study applies qualitative and quantitative descriptive analysis with purposive sampling techniques. Methods used for data analysis and testing include hypothesis testing, correlation and determination coefficients, simple linear regression analysis, and classical assumption tests. The study draws two main conclusions: 1. Intellectual capital and financial distress fluctuate and tend to decline over time. 2. According to the simple linear regression analysis, intellectual capital has a positive but insignificant effect on financial distress. The coefficient of determination test results indicate that intellectual capital contributes only a small portion to financial distress. The correlation coefficient test results show a very weak relationship between intellectual capital and financial distress.
The Effect of Tax Planning, Accrual Basis, Company Growth, and Operating Cash Flow on Profit Management
Authors: Wahid Akbar Basudani  , Wiharso Gani
Published: February 2025

The objective of this research is to analyze the impact of tax planning, accrual basis, growth, and operating cash flow on earnings management. This research is an associative quantitative research. The data used are in the form of secondary data of the audited financial report and published by each manufacturing company within the consumer goods industry listed on the Indonesia Stock Exchange (IDX) for the period 2015– 2019. The sampling technique in this study uses purposive sampling technique, from the 56 company population determined in the consumer goods industry listed on the Indonesia Stock Exchange obtained a sample of 16 companies for 5 years so that the total sampled is 80 samples. The data analysis in this research uses panel data regression which is processed with the help of the Eviews 9 program. The results of this study indicate that tax planning, accrual basis, growth, and operating cash flow simultaneously affect earnings management. Partially, tax planning has no effect on earnings management. The accrual basis has a positive effect on earnings management. Growth has no effect on earnings management. Operating cash flow has a negative effect on earnings management.
Komunikasi Persuasif dalam Menumbuhkan Kesadaran Masyarakat Mengenai Manfaat Bank Sampah Mutiara Madani Griya Bunga Asri Desa Cibadung Kecamatan Gunung Sindur Bogor
Authors: Rahmayanti  , Unik Desthiani  , Suwandi
Published: February 2025

Kegiatan pengabdian masyarakat ini bekerja sama dengan Pengelola Bank Sampah Mutiara Madani yang berada di Perumahan Griya Bunga Asri Desa Cibadung RT 002.008, Kecamatan Gunung Sindur, Kabupaten Bogor, Propinsi Jawa Barat.Tujuan kegiatan Pengabdian kepada Masyarakat ini adalahmeningkatkan konsistensi melakukan komunikasi persuasif kepada masyarakat luas akan pentingnya menjaga kesehatan dengan pengolahan sampah yang tepat melalui sistem Bank Sampah. Metode yang digunakan dalam kegiatan iniadalah ceramah dan studi kasus.Permasalahan utama yang dihadapi oleh mitra adalah: [1] Masih sangat minim partisipasi masyarakat terhadap kesadaran untuk mengelola sampah melalui Bank Sampah; [2] Masyarakat masih belum memahami pemilahan sampah, sehingga sampah seringkali masih tercampur antara sampah organik dan sampah anorganik.[3] Perlunya meningkatkan konsistensi melakukan komunikasi persuasif kepada masyarakat luas akan pentingnya menjaga kesehatan dengan pengolahan sampah yang tepat melalui sistem bank sampah.Pelaksanaankegiatan PKM dapat berjalan dengan baik dan lancarselama 3 (tiga) harisesuai dengan jadwal yang ditetapkan. Berdasarkan beberapa permasalahan yang dikemukan di atas, adapun solusi permasalahan yang dapat dilakukan adalah sebagai berikut: [1] Memberikan komunikasi persuasif dalam menumbuhkan kesadaran kepada masyarakat mengenai manfaat yang diperoleh melalui pengelolaan sampah yang tepat dan efektif melalui sistem Bank Sampah Mutiara Madani Griya Bunga Asri Desa Cibadung Kecamatan Gunung Sindur Bogor. [2] Meningkatkan pemahaman mengenai jenis sampah dan cara memilah sampah yang benar dan tepat kepada masyarakat melalui pelatihan dan penyuluhan tentunya dengan komunikasi yang persuasif. [3] Memberikan inovasi dan kreatifitas agar sampah-sampah yang dapat didaur ulang dapat menghasilkan nilai jual yang lebih tinggi segingga dapat meningkatkan perekonomian masyarakat. Hal ini memberikan respon positif dari masyarakat untuk dapat terus berpartisipasi dalam kegiatan Bank Sampah yang memiliki manfaat baik untuk kebersamaan