bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Heart Rate Variability from Multichannel Photoplethysmography
Authors: Peter Lukas  , Ladrova Martina  , Bryjova Iveta  , Cerny Martin
Published: February 2025

Heart rate variability (HRV) is nowadays based on ECG analysis, mainly as an frequency analysis of heart rate (HR). HR is a parameter of heart reactivity which is used to describe fluctuation of intervals between two consecutive heart beats. The same information about hear function is possible to get from pulse wave measurement which reflects mechanical work of the heart. The paper is focused on the comparison between HRV analysis from standard ECG signal and from pulse wave measurement from different parts of human body. In the paper are described all of methods for signal analysis of ECG and pulse wave measurement. It is also compare the best point from pulse wave to evaluate HR. The aim was to evaluate accuracy of HRV analysis based on the measurement from pulse wave and ECG. Pulse wave measurement is not used in common practise and analyse the changes of HRV during day but it could be more comfortable for the patient.
A Proposal of the Tourism Course Recommendation System (TCRS) for Foreign Tourists by Using Photo Data in Social Network Service
Authors: Li Shuang  , Takahashi Shizune  , Yamada Keizo  , Takagi Masanori  , Sasaki Jun
Published: February 2025

As the number of foreign travelers to Japan increases rapidly, this research aims to develop a system for finding and recommending unknown regional attractions to foreign tourists. In this paper, the authors analyzed photos taken by foreign tourists in Iwate prefecture in Japan, and classified the data by photographer details such as nationality and season of their visit. These data were then displayed on Google Maps for each classification. Analysis confirmed that there are differences in nationalities and seasons of visit present in the photo data, so it will be capable to recommend the tourism resource according to nationalities and seasons. From these results, we propose a Tourism Course Recommendation System (TCRS) for foreign tourists visiting in Iwate prefecture.
An Interaction Consensus in Group Decision Making Under Distributed Linguistic Trust Information
Authors: Dai Lifang  , Wu Jian  , Chiclana Francisco  , Fujita Hamido  , Herrera-Viedma Enrique
Published: February 2025

A theoretical interaction consensus model in group decision making with distributed linguistic trust information is proposed. To do that, the concept of distributed linguists trust function (DLTF) is defined, and then the associated operational laws and aggregation operations are explored. Combing the expectation degree and uncertainty degrees, a ranking method for distributed linguists trust function is proposed. To identify the inconsistent experts, three levels of consensus degree with DLTF are calculated. After that, a novel feedback mechanism is activated to generate recommendation advices for the inconsistent experts to higher consensus degree. Therefore, the inconsistent experts are able to reach the threshold value of group consensus. Finally, after consensus has been achieved, a ranking order relation for distributed linguists trust functions is constructed to select the most appropriate alternative.
The Changeable Space Theories Based Capacity Configuration for TFT-LCD Fabs
Authors: Huang Chi-Yo  , Lu Hsueh-Hsin  , Tseng Wen-Hsin  , Li Meng-Ru  , Chang Wan-Jung  , Yang Yun-Hsuan  , Wu Yi-Chia  , Yang Ming-Jen  , Wu Ming-Jenn
Published: February 2025

The small and medium size thin film transistor liquid crystal display (TFT-LCD) panel market, which accounted for 25% of the worldwide TFT-LCD market, surged rapidly during the past years due to the fast evolution of the smart handheld devices. However, the demand versus supply relation fluctuated significantly due to the fierce competitions in the small and medium size TFT LCD market. The appropriate expansion of the facilities and optimal allocation of the manufacturing of the manufacturing facilities requires an ideally evaluation mechanism. Further, how the production can be configured to be capacity maximization and profit maximization is the main contribution in this research. However, almost no scholars tried to introduce the theory of the changeable space for reconfiguring and appropriating the production capacity. Further, almost no scholars studied the above-mentioned issues for the small and medium TFT-LCD fabs. Hence, the author aims to define a multiple objective decision making (MODM) theories and methods based hybrid framework for resolving the problems. A changeable space theory based MODM framework consisting of the De Novo programming technique will be introduced for appropriating and expanding the capacity of a TFT-LCD fab. The main contribution of this research is giving the small and medium size TFT-LCD Corporation's new thinking when setting the strategies for expand the capacity. In the future, the proposed framework can be used for appropriating the production capacity of any plan, and the results can be used as the basis for appropriating the capacity of a TFT-LCD fab.
Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-Termini
Authors: König Caroline  , Alquézar René  , Vellido Alfredo  , Giraldo Jesús
Published: February 2025

G Protein-Coupled Receptors are a family of cell membrane proteins, whose class C is a current main target for drug development. Their primary sequences are studied as a source of information for the characterization of their behaviour. In previous research, different alignment-free sequence transformations were explored as the basis for the supervised discrimination of the various class C subtypes using Support Vector Machines. We also investigated an alignment-free sequence transformation based on n-gram protein motifs, under the hypothesis that the sequences' extra-cellular N-terminus domain could suffice to retain most of the subtype-discrimination capabilities of the complete receptor, and that a parsimonious selection of n-grams would be responsible for such classification success. In the current study, these previous results are extended by investigating a different classification procedure that now employs a subtype-vs-all the rest of subtypes approach, shifting towards the selection of those sequence motifs that distinguish each class C subtype from the rest. The reported results indicate the adequacy of this new approach, both in terms of discrimination ability and motif selection parsimony.
Convolutional Neural Networks for Classification of Malware Assembly Code
Authors: Gibert Daniel  , Béjar Javier  , Mateu Carles  , Planes Jordi  , Solis Daniel  , Vicens Ramon
Published: February 2025

Traditional signature-based methods have started becoming inadequnate to deal with next generation malware which utilize sophisticated obfuscation (polymorphic and metamorphic) techniques to evade detection. Recently, research efforts have been conducted on malware detection and classification by applying machine learning techniques. Despite them, most methods are build on shallow learning architectures and rely on the extraction of hand-crafted features. In this paper, based on assembly language code extracted from disassembled binary files and embedded into vectors, we present a convolutional neural network architecture to learn a set of discriminative patterns able to cluster malware files amongst families. To demonstrate the suitability of our approach we evaluated our model on the data provided by Microsoft for the BigData Innovators Gathering 2015 Anti-Malware Prediction Challenge. Experiments show that the method achieves competitive results without relying on the manual extraction of features and is resilient to the most common obfuscation techniques.
Disseminating a Standard for Medical Records in Emergency Departments Among Different Software Vendors Using HL7 CDA
Authors: Brammen Dominik  , Dewenter Heike  , Thiemann Volker  , Majeed Raphael W.  , Xu Tingyan  , Heitmann Kai U.  , Walcher Felix  , Thun Sylvia  , Röhrig Rainer
Published: February 2025

A standardized medical record for the emergency department (GEDMR) was released in Germany, but only sparsely and randomly implemented by emergency department (ED) electronic health record (EHR) vendors. A reason for this may be a lacking common language between the medical and the Health Information Technology (HIT) domain. HL7 clinical document architecture (CDA) may leverage this communication gap. This paper reports on the effects of a professional medical association record standard on EHR vendors and the German ED-EHR market. Standard records and data standards are developed and published by different institutions either on governmental, healthcare agency or medical association level. There are some standard records, especially by US cardiology associations, transformed into HL7 C-CDA. GEDMR was modeled as HL7 CDA with the use of interoperable terminologies like LOINC and SNOMED CT. Being part of an emergency department data registry development project, local deployment at 15 project hospitals receiving sufficient funding was performed. Two major ED-EHR vendors adapted GEDMR within their product including CDA export. 106,868 CDAs were produced in six hospitals until now. Four local implementations with four different ED-EHRs were developed, producing 42,256 CDAs. Five additional vendors are adapting or developing an ED-EHR. The GEDMR-CDA implementation guide with funding for implementation in project hospitals had a significant impact on the German ED-EHR market. Within two years after release, a broadening and increasingly self-enforcing support by German ED-EHR vendors is notable.
Availability of Computerised Medical Record System Data to Compare Models of Child Health Care in Primary Care Across Europe
Authors: Liyanage Harshana  , Hoang Uy  , Ferreira Filipa  , Alexander Denise  , Rigby Michael  , Blair Mitch  , De Lusignan Simon
Published: February 2025

Computerised medical record (CMR) system data can be used to compare different models of health care for children. We identified sources of data from the Models of Child Health Appraised (MOCHA) project that compares family doctor led with paediatrician led and mixed models of child care using index conditions. Asthma and immunisation coverage are the first of these. We explored the extent to which an established Patient Registries Initiative (PARENT); MOCHA's own survey (MIROI); the European Centre for Disease Control (ECDC) immunisation information system survey and the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP) registry of data sources provided data to make comparisons of child health care. Five countries had data repositories for our index conditions from paediatrician lead services, compared with 14 for mixed, and 11 for family doctor led services. PARENT identified 212 sources, MIROI 148 sources, ECDC 17 sources and ENCePP 42; with immunisation related data sources found in all four but asthma in only three. There are less sources of electronic data available to study paediatrician led systems than other models; this risks unequal sample size bias.
Heading Estimation Algorithm Based on Region Partition Particle Filter for Pedestrian Navigation
Authors: Fei Chengyu  , Su Zhong  , Li Qing
Published: February 2025

Dead reckoning has a significant purpose in pedestrian navigation algorithms with assumption of accurate heading estimation. This paper proposes a heading estimation on real time compensation on the basis of region partition particle filter for pedestrian navigation system (RPPF). The RPPF algorithm computes heading correction in real-time using a particle filter. It establishes a functional relationship between the movement of stochastic pedestrian and the regular hexagonal heading constraint; afterwards, it realizes the heading compensation with hexagonal constraint and enhances the heading accuracy. In order implement the proposed algorithm, we conducted a walking experiment of closed curves; the comparative result with the traditional strap-down attitude algorithm, the RPPF enables the effective reduction in the heading error and truly reflects the trajectory curve of pedestrian. The positioning error of the RPPF is less than 2% of the travel distance, which can meet the positioning requirements of pedestrian.
Smartly Searching Multimedia Data in Heterogeneous Mobile Ad Hoc Networks
Authors: Ye Fan  , Ying Zuobin  , Zhang Yiwen  , Zheng Cheng
Published: February 2025

In mobile ad hoc networks (MANETs) environment, nodes may have different storage sizes, data transmission rate, processor capability and even security features. Therefore, past data searching algorithms are not applicable for such kind of network. As the network structure changes frequently, the indexing method may not be enough for data finding. This paper researches on fast search data method to make data effectively shared among heterogeneous mobile nodes. A novel algorithm called Greedy-A*(GA*) is proposed, simulation study indicates such algorithm is efficient in such kind of network.
Bounded Correctness Checking of the Universal Fragment of eCTL
Authors: Pu Fei  , Zhang Wenhui
Published: February 2025

Bounded model checking as a complementary approach to BDD based symbolic model checking applies satisfiability checking to the verification of temporal properties, especially, for efficient error detection. The successes of bounded model checking have led to extensive research on bounded semantics for various (fragments of) temporal logics such as ACTL, ECTL, and ACTL*. We in this paper further study AeCTL formulas (universal fragment of extended Computation Tree Logic) in light of bounded semantics. On the theoretical aspect, we propose a bounded correctness checking algorithm for AeCTL properties. On the practical aspect, we apply the bounded semantics of AeCTL to derive a SAT-based characterization of AeCTL properties.
A RADAR Detection System with Random Noise Transmitting Wave for Power Grounding Grid
Authors: Wu Xin  , Han Xiao
Published: February 2025

In this paper, using RADAR signal to carry target information, this paper provides a novel method to detect grounding grid without excavation. Random noise transmitting signal is used to prevent the electromagnetic interference in power plant and substation. The random signal with bell-like power spectrum is proved having the best performance. With increase in the variance, resolution of the random transmitting signal is improved. The performance of the designed transmission signal is shown with ambiguity function. This paper presents some experimental results obtained from designed RADAR detecting the transmitted signal.. All conductors of the testing grounding grid are imaged and differentiated effectively.
A Case Study of IoT Participatory Sensing of Hazardous Ozone Using Traces
Authors: Guo Jia  , Chen Ing-Ray  , Wang Ding-Chao  , Tsai Jeffrey J.P.  , Al-Hamadi Hamid
Published: February 2025

In this paper we present a case study of IoT participatory sensing where a user sends a query to the cloud to query a location's ozone (O3) level at a particular time to decide if it should enter the location based on its susceptibility to the O3 level detected. All IoT devices (e.g., smart phones carried by humans or smart cars driven by humans) capable of detecting O3 submit O3 sensing reports via wireless data communication links to the cloud for sensing result aggregation. The major challenge is the selection of trustworthy participants because not all IoT devices will be trustworthy. We leverage a “Trust as a Service” (TaaS) cloud utility to address the issue of selecting trustworthy participants. Using real traces of O3 levels and mobility traces of users in the O3 community of interest (O3COI) group in the city of Houston, we demonstrate that with the help of the TaaS cloud utility, a user in this O3COI group is able to obtain O3 readings very close to the ground truth O3 level despite 30% users are untrustworthy.
The Paradox of Higher Charges for Lower-Risk Inpatient Admissions: When Healthier Patients Cost More
Authors: Sheets Lincoln  , Lyttle Kayson  , Popejoy Lori L.  , Parker Jerry C.
Published: February 2025

Risk stratification is essential to achieving the Triple Aim of better health, better care, and lower costs. Although risk tiers based on chronic disease diagnoses and recent healthcare utilization were predictive of healthcare utilization and charges in a managed population, their correlation with specific high-cost outcomes was unknown. More detailed analyses were performed to confirm that admissions for higher-risk patients were more expensive. However, these analyses found that charges for admissions of high-risk patients were actually not more expensive but 33% less expensive. The billing categories of implants, surgery, and supplies accounted for 93% of this difference. These findings may reflect that high-risk patients are less often appropriate candidates for elective surgery. An understanding of this difference, especially if validated by claims data and replicated in other populations, may lead to important insights into using risk stratification for predicting health services utilization in managed care populations.
Context-Sensitive Clinical Alert Packages Written in Arden Syntax
Authors: Zeckl Julia  , Adlassnig Katharina  , Fossler Renate  , Blacky Alexander  , de Bruin Jeroen S.  , Koller Walter  , Rappelsberger Andrea  , Adlassnig Klaus-Peter
Published: February 2025

An increasing body of raw patient data is generated on each day of a patient's stay at a hospital. It is of paramount importance that critical patient information be extracted from these large data volumes and presented to the patient's clinical caregivers as early as possible. Contemporary clinical alert systems attempt to provide this service with moderate success. The efficacy of the systems is limited by the fact that they are too general to fit specific patient populations or healthcare institutions. In this study we present an extendable alerting framework implemented in Arden Syntax, which can be configured to the needs and preferences of healthcare institutions and individual patient caregivers. We illustrate the potential of this alerting framework via an alert package that analyzes hematological laboratory results with data from intensive care units at the Vienna General Hospital, Austria. The results show the effectiveness of this alert package and its ability to generate key alerts while avoiding over-alerting.
Flexible Detection of Fall Events Using Bidirectional EMG Sensor
Authors: Han Hao  , Ma Xiaojun  , Oyama Keizo
Published: February 2025

Falling is one of the most serious life-threatening events for the elders, and the growing population of elderly people motivates the development of ICT-based healthcare-oriented solutions for fall detection prevalently. In this poster, a bidirectional EMG (electromyographic) sensor network model is proposed for a more efficient and flexible detection of fall events based on simple communication between users and nursing care staff.
An Exploratory Analysis of Questions Submitted to a Brazilian Telemedicine System
Authors: Brixey Jacqueline  , Brixey Juliana J.
Published: February 2025

The Rede NUTES telemedicine question submission system provides second opinions to remote healthcare professionals in the northeastern state of Pernaumbuco, Brazil. Submitted questions to the telemedicine system by general practitioners and nurses were analyzed using big data exploration techniques to summarize topic, trends and lexical features.
Developing “Information Assistant”: A Smartphone Application to Meet the Personalized Information Needs of Women with Breast Cancer
Authors: Liu Ying  , Geng Zhaohui  , Wu Fulei  , Yuan Changrong
Published: February 2025

Breast cancer presents specific challenges both physically and psychologically to women. Women living with breast cancer frequently do not receive adequate information support and they urgently need professional assistance that help them to cope and adjust to challenges. This paper documents the process of developing a smartphone application (app) “Information Assistant” for women with breast cancer in China. First, individual interviews were used to explore and understand the real experience of breast cancer patients and their diverse information needs during different stages of diagnosis and treatment. Next, expert working group discussions and the Delphi technique, including breast cancer care physicians, nurses and software engineers, were used to draft the structure and contents of the m-health based information support program. Then, these feedbacks were used to develop “Information Assistant” app. This app has five modules: personalized information recommendation, category knowledge center, headline information browsing, newest information browsing and information searching.
An Exploratory Analysis of Game Telemetry from a Pediatric mHealth Intervention
Authors: Padman Rema  , Gupta Disha  , Sri Prakash Bhargav  , Krishnan Chelladurai  , Panchatcharam K.
Published: February 2025

Pediatric obesity is a growing epidemic, with unhealthy eating habits and poor physical activity being major contributors. While video and mobile games have been shown to have a positive impact on behavior change in children, the mechanisms underlying game play that impact outcomes of interest are poorly understood. This research aims to examine the impact of a novel mobile gaming app on the design of behavioral interventions by learning from the rich and unique game telemetry generated from a randomized controlled trial of the app use by school children. In this exploratory analysis, we extract a partial dataset to build and analyze chronological sequences of game plays to understand key patterns in the game mechanics that players utilize as they navigate the game, and possible implications of the results.
Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score
Authors: Hu Danqing  , Huang Zhengxing  , Chan Tak-Ming  , Dong Wei  , Lu Xudong  , Duan Huilong
Published: February 2025

Clinical risk prediction of acute coronary syndrome (ACS) plays a critical role for clinical decision support, treatment management and quality of care assessment in ACS patients. Admission records contain a wealth of patient information in the early stages of hospitalization, which offers the opportunity to support the ACS risk prediction in a proactive manner. However, ACS patient risks aren't recorded in hospital admission records, thus impeding the construction of supervised risk prediction models. In our study, we propose a novel approach for ACS risk prediction, which employs a well-known ACS risk prediction model (GRACE) as the benchmark methods to stratify patient risks, and then utilizes a state-of-the-art supervised machine learning algorithm to establish our risk prediction models. The experiment was conducted with a collection of 3,643 ACS patient samples from a Chinese hospital. Our best model achieved 0.616 accuracy for risk prediction, which indicates our learned model can achieve a better performance than the benchmark GRACE model and can obtain significant improvement by mixing up patient samples that were manually labeled risks.
Conditional Density Estimation of Tweet Location: A Feature-Dependent Approach
Authors: Iso Hayate  , Wakamiya Shoko  , Aramaki Eiji
Published: February 2025

Twitter-based public health surveillance systems have achieved many successes. Underlying this success, much useful information has been associated with tweets such as temporal and spatial information. For fine-grained investigation of disease propagation, this information is attributed a more important role. Unlike temporal information that is always available, spatial information is less available because of privacy concerns. To extend the availability of spatial information, many geographic identification systems have been developed. However, almost no origin of the user location can be identified, even if a human reads the tweet contents. This study estimates the geographic origin of tweets with reliability using a density estimation approach. Our method reveals how the model interprets the origin of user location according to the spread of estimated density.
Multimodal e-Health Services for Smoking Cessation and Public Health: The SmokeFreeBrain Project Approach
Authors: Bamidis Panagiotis D.  , Paraskevopoulos Evangelos  , Konstantinidis Evdokimos  , Spachos Dimitris  , Billis Antonis
Published: February 2025

Smoking is the largest avoidable cause of preventable morbidity worldwide. It causes most of the cases of lung cancer and chronic obstructive pulmonary disease (COPD) and contributes to the development of other lung diseases. SmokeFreeBrain aims to address the effectiveness of a multi-level variety of interventions aiming at smoking cessation in high risk target groups within High Middle Income Countries (HMIC) such as unemployed young adults, COPD and asthma patients, and within the general population in Low-Middle Income Countries (LMIC). The project addresses existing approaches aimed to prevent lung diseases caused by tobacco while developing new treatments and evaluating: (i) Public Service Announcement (PSA) against smoking, (ii) the use of electronic cigarettes, (iii) neurofeedback protocols against smoking addiction, (iv) a specifically developed intervention protocol based on behavioral therapy, social media/mobile apps and short text messages (sms) and (v) pharmacologic interventions. Emphasis in this paper, however, is placed on the e-heath, m-health, open (big) data, mobile game and neuroscientific challenges and developments upon facilitating the aforementioned interventions.
Managing User Needs During the EHR Implementation in Buenos Aires City: The HelpDesk Role
Authors: Alassia L.  , Palermo C.  , Recondo F.  , Giussi M.  , Stieben A.  , Baum A.  , Gonzalez Bernaldo de Quiros F.
Published: February 2025

Enablement, guidance, and proactive preparation for a new IT system implementation has proven to be a smart way to prepare people to embrace change. These activities are closely related to change management approaches which seek to help people understand and adopt specific behaviors. That being said, investing in such activities becomes the cornerstone of the success of the project. Leading IT companies around the world include in their strategy for new services and offering deployments, a proactive HelpDesk service. This not only helps build long lasting/trusted relationships between end users and IT sectors but also helps reduce cost and maximizes the Return of Investment. A streamlined process and easy to use/fluent communication channel between parties are powerful risk management/Quality Assurance and Continuous Improvement tools. In this paper, we address the example of a HelpDesk support team implementation of a city-scaled Electronic Health Records implementation.
Key Relation Extraction from Biomedical Publications
Authors: Huang Lan  , Wang Ye  , Gong Leiguang  , Kulikowski Casimir  , Bai Tian
Published: February 2025

Within the large body of biomedical knowledge, recent findings and discoveries are most often presented as research articles. Their number has been increasing sharply since the turn of the century, presenting ever-growing challenges for search and discovery of knowledge and information related to specific topics of interest, even with the help of advanced online search tools. This is especially true when the goal of a search is to find or discover key relations between important concepts or topic words. We have developed an innovative method for extracting key relations between concepts from abstracts of articles. The method focuses on relations between keywords or topic words in the articles. Early experiments with the method on PubMed publications have shown promising results in searching and discovering keywords and their relationships that are strongly related to the main topic of an article.
From Patient Discharge Summaries to an Ontology for Psychiatry
Authors: Richard Marion  , Aimé Xavier  , Jaulent Marie-Christine  , Krebs Marie-Odile  , Charlet Jean
Published: February 2025

Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We developed ONTOPSYCHIA, an ontology for psychiatry in three modules: social and environmental factors of mental disorders, mental disorders, and treatments. The use of ONTOPSYCHIA, associated with dedicated tools, will facilitate semantic research in Patient Discharge Summaries (PDS). To develop the first module of the ontology we propose a PDS text analysis in order to explicit psychiatry concepts. We decided to set aside classifications during the construction of the modu le, to focus only on the information contained in PDS (bottom-up approach) and to return to domain classifications solely for the enrichment phase (top-down approach). Then, we focused our work on the development of the LOVMI methodology (Les Ontologies Validées par Méthode Interactive – Ontologies Validated by Interactive Method), which aims to provide a methodological framework to validate the structure and the semantic of an ontology.
Giving Every Case Its (Legal) Due
Authors: Panagis Yannis  , Šadl Urška  , Tarissan Fabien
Published: February 2025

In this article we propose a novel methodology, which uses text similarity techniques to infer precise citations from the judgments of the Court of Justice of the European Union (CJEU), including their content. We construct a complete network of citations to judgments on the level of singular text units or paragraphs. By contrast to previous literature, which takes into account only explicit citations of entire judgments, we also infer implicit citations, meaning the repetitions of legal arguments stemming from past judgments without explicit reference. On this basis we can differentiate between different categories and modes of citations. The latter is crucial for assessing the actual legal importance of judgments in the citation network. Our study is an important methodological step forward in integrating citation network analysis into legal studies, which significantly enhances our understanding of European Union law and the decision making of the CJEU.
Noise Induced Hearing Loss: An Application of the Angelic Methodology
Authors: Al-Abdulkarim Latifa  , Atkinson Katie  , Bench-Capon Trevor  , Whittle Stuart  , Williams Rob  , Wolfenden Catriona
Published: February 2025

We describe the use of the ANGELIC methodology, developed to encapsulate knowledge of particular legal domains, to build a full scale practical application for internal use by a firm of legal practitioners. We describe the application, the sources used, the stages in development and the application. Some evaluation of the project and its potential for further development is given. The project represents an important step in demonstrating that academic research can prove useful to legal practitioners confronted by real legal tasks.
Passing the Brazilian OAB Exam: Data Preparation and Some Experiments
Authors: Delfino Pedro  , Cuconato Bruno  , Haeusler Edward Hermann  , Rademaker Alexandre
Published: February 2025

In Brazil, all legal professionals must demonstrate their knowledge of the law and its application by passing the OAB exams, the national Bar exams. This article describes the construction of a new data set and some preliminary experiments on it, treating the problem of finding the justification for the answers to questions. The results provide a baseline performance measure against which to evaluate future improvements. We discuss the reasons to the poor performance and propose next steps.
Establishing a Nation Wide Infrastructure for Systematic Use of Patient Reported Information
Authors: Jensen Sanne  , Lyng Karen Marie
Published: February 2025

In Denmark, we have set up a program to establish a nationwide infrastructure for Patient Reported Outcome (PRO) questionnaires. The effort is divided into an IT infrastructure part and a questionnaire development part. This paper describes how development and evaluation are closely knit together in the two tracks, as complexity is high in the PRO field and IT infrastructure, legal issues, various clinical workflows and the numerous stakeholders have to be taken into account concurrently. In the design process, we have thus used a participatory design approach to ensure a high level of active stakeholder involvement and capability of addressing all the relevant issues. In the next phases, we will apply the IT infrastructure in the planned full-scale evaluation of the questionnaires developed in the first phase, while we continue to develop new national questionnaires.
Taking into Account the Complementarity of Contemporary Breast Cancer Guidelines to Leverage Decision Support in the DESIREE Project
Authors: Prebet Coralie  , Bouaud Jacques  , Guézennec Gilles  , Seroussi Brigitte
Published: February 2025

Breast cancer is one of the most common cancers in Western countries and the first cause of death among women in France. Studies have reported that the compliance of the treatment with breast cancer clinical practice guidelines (CPGs) is accompanied with a significant improvement of recurrence-free survival and overall survival rates. However, compliance of multidisciplinary tumour board decisions with CPGs remains non-satisfactory. The European project DESIREE aims at building a software package to support the guideline-based management of breast cancer patients. The aim is to select multiple relevant contemporary CPGs published on the management of breast cancer and to concurrently apply them to benefit of the complementarity of the recommendations issued, and leverage the guideline-based decision support. We used a clinical case to compare NCCN and ESMO CPGs in terms of concordance, complementarity, and conflicts. Out of the 757 decision rules extracted from both CPGs, 64 rules were triggered (32 from NCCN, and 32 from ESMO) by the clinical case. Ten rules were concordant, 52 complementary, and two conflicting. Complementarity relies on the different levels of granularity of the IF-parts of the rules that lead to different specific THEN-parts. Another type of complementarity comes from the provision of specific care apart from the breast cancer therapeutic management. The few inter- and intra-CPGs conflicts show the limits of CPGs in particular situations still debated by medical research.
Personalized Knowledge Transfer for Caregiving Relatives
Authors: Wolff Dominik  , Behrends Marianne  , Gerlach Mario  , Kupka Thomas  , Marschollek Michael
Published: February 2025

Caregiving relatives have to manage very diverse tasks and need a lot of care-relevant knowledge. For most of them it is not easy to find the knowledge required. Thus, a personalized knowledge transfer for caregiving relatives is necessary. Against this background, methods to determine the personal relevance and importance of knowledge resources for caregiving relatives are developed. To evaluate these methods, an exemplary fictitious person is created by experts in Nursing Science. In this evaluation, the approach's results are compared with an expert opinion. The approach indicates that a personalized knowledge transfer is possible, providing caregiving relatives with necessary care knowledge according to their personal life situation.
Intercoder Reliability of Mapping Between Pharmaceutical Dose Forms in the German Medication Plan and EDQM Standard Terms
Authors: Sass Julian  , Becker Kim  , Ludmann Dominik  , Pantazoglou Elisabeth  , Dewenter Heike  , Thun Sylvia
Published: February 2025

A nationally uniform medication plan has recently been part of German legislation. The specification for the German medication plan was developed in cooperation between various stakeholders of the healthcare system. Its' goal is to enhance usability and interoperability while also providing patients and physicians with the necessary information they require for a safe and high-quality therapy. Within the research and development project named Medication Plan PLUS, the specification of the medication plan was tested and reviewed for semantic interoperability in particular. In this study, the list of pharmaceutical dose forms provided in the specification was mapped to the standard terms of the European Directorate for the Quality of Medicines & HealthCare by different coders. The level of agreement between coders was calculated using Cohen's Kappa (κ). Results show that less than half of the dose forms could be coded with EDQM standard terms. In addition to that Kappa was found to be moderate, which means rather unconvincing agreement among coders. In conclusion, there is still vast room for improvement in utilization of standardized international vocabulary and unused potential considering cross-border eHealth implementations in the future.
A Clinical Data Warehouse Based on OMOP and i2b2 for Austrian Health Claims Data
Authors: Rinner Christoph  , Gezgin Deniz  , Wendl Christopher  , Gall Walter
Published: February 2025

Background: To develop simulation models for healthcare related questions clinical data can be reused.
Mobile Technology Applications in Cancer Palliative Care
Authors: Freire de Castro Silva Sandro Luís  , Gonçalves Antônio Augusto  , Cheng Cezar  , Fernandes Martins Carlos Henrique
Published: February 2025

Mobile devices frequently used in other specialties can find great utility in palliative care. For healthcare professionals, the use of mobile technology not only can bring additional resources to the care, but it can actually radically change the cancer remote care practices. The Brazilian National Cancer Institute (INCA) has developed the largest cancer home care program in Latin America, which currently benefits more than 500 patients. The purpose of this paper is to show the development of an ICT environment of mobile applications developed to support the palliative cancer care program at INCA.
Wetlands Monitoring: Hints for Innovative Autonomous Surface Vehicles Design
Authors: Odetti Angelo  , Altosole Marco  , Caccia Massimo  , Viviani Michele  , Bruzzone Gabriele
Published: February 2025

Wetlands are geographic areas where water meets the earth. They cover between 5% and 8% percent of the Earth's surface including coastal areas, swamps rivers and lakes. They are essential ecosystems for human life. Various international conventions, directives and projects work on their protection that can help fighting the disasters resulting also from climate change. However, the acquisition and monitoring of environmental parameters in these areas is often difficult and ineffective. Classical vehicles (boats or wheeled vehicles) are not adequate in these areas and sometimes they are inaccessible or dangerous to human beings (critical or extreme environments). The development and the exploitation of innovative unmanned technologies can make surveys faster, more efficient and precise. Autonomous Surface Vehicles (ASVs) can work over extended periods of time and less staffing is required thanks to the high level of autonomy. In this paper, several technological solutions are explored and a modular and portable ASV with an innovative propulsion system suitable for working in shallow water is described.
Interior Yacht Design: Evolution and New Scenarios
Authors: Campolongo Mariateresa
Published: February 2025

The recreational craft market (for boats longer than 24 metres) is particularly interesting as it continues to grow, displaying an ongoing positive trend since 2010 (source: Altagamma and SBI) with motor yachts constituting the major segment. These boats offer several points for consideration, particularly regarding their interior design, a topic of great interest nowadays. The interiors of large boats were characterized for decades by recognizable aesthetic traits that led to the definition of a proper nautical line: lacquered mahogany for furniture and bulkheads, white ceilings, blue and white striped fabrics, and bright brass handles all make up what has been called “Old Navy Style”. In the last twenty years, however, there has been a real revolution in the interior design of these boats. Various key points underlie this new concept of Interior Yacht Design: a renewed interest in synergy between domestic interior and nautical styles (with the arrival of a new generation of designers eager to present something different: starchitects, famous fashion designers and well-known civil architects), the search for the most suitable materials and technologies, and a desire to open up the boat outwards. In this varied panorama, what are the possible future scenarios of Interior Yacht Design?
Design and Development of an Evaluation System for Managing Dry Skin Among Elderly Patients
Authors: Guo Weiting  , Wang Wenjun  , Cao Yingjuan
Published: February 2025

Nursing staff has designed and developed this system for elderly patients to simplify the working process of nursing staff. The system was developed using Microsoft Excel 2010 and its in-house Excel VBA (Visual Basic for Applications) tools, it was developed by VBA-trained nursing staff to develop a skin dryness evaluation system for senile patients. The system is useful to managing dry skin among elderly patients. The participation of nursing staff in the design of information system plays a very important role in the feasibility of the software.
How Key Stakeholders Perceive a Smart Mobile Integrated Care System for the Elderly
Authors: Cui Yanyan  , Gong Dongwei  , Yang Bo  , Chen Hua  , Zhang Chaonan  , Li Huan  , Jiang Liping  , Kuo Ming-Chuan  , Chang Polun
Published: February 2025

Integrated care has been an important model for caring the elderly. In China, it is still at its very early stage. We proposed a new model to develop a smart mobile system, taking the CARE instrument as the base and composed of apps for stakeholders. We did an usability study using the TAMM tool and, from a convenience sample of 11 elderly and 18 nurses, the results indicated the system was well appreciated.
Prediction of Nursing Workload in Hospital
Authors: Fiebig Madlen  , Hunstein Dirk  , Bartholomeyczik Sabine
Published: February 2025

A dissertation project at the Witten/Herdecke University [1] is investigating which (nursing sensitive) patient characteristics are suitable for predicting a higher or lower degree of nursing workload.
Unmet Needs of Persons with Down Syndrome: How Assistive Technology and Game-Based Training May Fill the Gap
Authors: Romanopoulou Evangelia  , Zilidou Vasiliki  , Savvidis Theodore  , Chatzisevastou-Loukidou Chariklia  , Bamidis Panagiotis
Published: February 2025

The use of new technology seems to be an important factor that contributes to the overall ability to adapt and achieve higher independence. Technologies using digital games have gained the great interest of the scientific community as there are many advantages for both effectiveness and benefits, physically and mentally, providing the opportunity for essential and enjoyable training. This study presents an important initial step utilizing the LLM Care service which focuses on the needs and challenges for the health and daily living of people with Down syndrome (DS) by applying new technology hardware and software. People with cognitive impairments, such as memory, attention and motivation problems may also benefit from this kind of cognitive support that assistive technology offers.
The Stratified Framework for Enhancement of Study Programs in Public Health in Montenegro
Authors: Ognjanović Ivana  , Šendelj Ramo  , Knaup Petra  , Mantas John  , Adany Rosa  , Ammenwerth Elske  , Nikolić Goran  , Jakšić Stojanović Anđela  , Đurić Dragan
Published: February 2025

Montenegro plans to enhance its educational system in the area of health information management, in accordance with well-known EU best practices. Within the Erasmus+ project PH-ELIM, a Stratified Framework was developed to provide education of public health professionals making them highly skilled to support the nation in creating a sustainable and flexible health system, in providing good quality health, in protecting citizens against health threats, all by a cost-effective and straightforward approach. The objective of this presentation is to present the intermediate results of the Framework and lessons learned until now.
Using Graph Tools on Metadata Repositories
Authors: Ulrich Hannes  , Kock-Schoppenhauer Ann-Kristin  , Duhm-Harbeck Petra  , Ingenerf Josef
Published: February 2025

To exchange data across several sites or to interpret it at a later point in time, it is necessary to create a general understanding of the data. As a standard practice, this understanding is achieved through metadata. These metadata are usually stored in relational databases, so-called metadata repositories (MDR). Typical functions of such an MDR include pure storage, administration and other specific metadata functionalities such as finding relations among data elements. This results in a multitude of connections between the data elements, which can be described as highly interconnected graphs. To use alternative databases such as graph databases for modelling and visualisation it has already been proven to be beneficial in previous studies. The objective of this work is to evaluate how on-board techniques rely on matching and mapping using a graph database. Different datasets relating to cancer were entered, and algorithms for metadata management were applied.
An Effective IDS Against Routing Attacks on Mobile Ad-Hoc Networks
Authors: Meddeb Rahma  , Triki Bayrem  , Jmili Farah  , Korbaa Ouajdi
Published: February 2025

The connectivity of mobile networks is increasing heavily and the evolution of the risks is highly dynamic. In Mobile Ad Hoc Network (MANET), attacks and digital attacks are becoming increasingly complex. Due to their nature, these networks make some information unavailable and/or incomplete needed for attacks detection process. Several solutions have been made to ensure the security of mobile networks specially intrusion detection systems (IDS). This solution allows enhancing IDS detection efficiency even with incomplete information about occurred attacks. In this paper, we propose an IDS based on three algorithms NCF, FNF and DPA allowing special traffic abstraction and data collection. We used these algorithms to generate a "behavioral database" for supervised nodes in the network. We study and implement four types of Denial of Service (DoS) attacks, which could disturb the routing process in MANET. These attacks are Blackhole, Grayhole, Wormhole, and Flooding attack. We generate these types of attacks by modifying the normal AODV routing algorithm behavior. We have implemented these attacks using Opnet Modeler 14.5. We proposed a set of IDS nodes to supervise the network behavior using Fuzzy Inference System (FIS). These nodes identify a pattern for each attack behavior to be stored in the "behavioral database". The performance of a network under attack is investigated.
Handling Qualitative Aspects in Unequal Area Facility Layout Problem: A Novel Multi-Criteria Decision-Making Model
Authors: García-Hernández Laura  , Salas-Morera L.  , Pierreval H.  , Arauzo-Azofra A.
Published: February 2025

The unequal area facility layout problem (UA-FLP) has been addressed by many approaches. Most of them only consider quantitative aspects into the approach. In this work, we will solve UA-FLPs using a novel hybrid model that joins multi-criteria decision making method and interactive evolutionary optimization. Particularly, a combination of the analytic hierarchy process (AHP) and an interactive genetic algorithm, is suggested. By means of this new model, it is possible to take into account both qualitative (using the expert knowledge) criteria and quantitative in order to achieve an acceptable design solution. Our algorithm is able to interact with the decision maker (DM), directing the search process by means of the DM preferences and arranging the criteria that are more important in each design solution.