bluuebunny/crossref_metadata_2025 huggingface dataset:
Human Instruments: Accessible Musical Instruments for People with Varied Physical Ability
Authors: Matossian Vahakn  , Gehlhaar Rolf
Published: February 2025

There are few ways in which persons, who do not have the use of their hands or arms, are able make music or control complex computer systems. Music as an expressive output is key to the full development of the human mind. Human Instruments is dedicated to the development and production of accessible musical instruments playable at a professional level, as well as computer control interfaces. We are currently user-testing three new, uniquely accessible devices, for their effectiveness in expressive music creation. Preliminary results are compelling.
Bridging Minds: A Mixed Methodology to Assess Networked Flow
Authors: Galimberti Carlo  , Chirico Alice  , Brivio Eleonora  , Mazzoni Elvis  , Riva Giuseppe  , Milani Luca  , Gaggioli Andrea
Published: February 2025

The main goal of this contribution is to present a methodological framework to study Networked Flow, a bio-psycho-social theory of collective creativity applying it on creative processes occurring via a computer network. First, we draw on the definition of Networked Flow to identify the key methodological requirements of this model. Next, we present the rationale of a mixed methodology, which aims at combining qualitative, quantitative and structural analysis of group dynamics to obtain a rich longitudinal dataset. We argue that this integrated strategy holds potential for describing the complex dynamics of creative collaboration, by linking the experiential features of collaborative experience (flow, social presence), with the structural features of collaboration dynamics (network indexes) and the collaboration outcome (the creative product). Finally, we report on our experience with using this methodology in blended collaboration settings (including both face-to-face and virtual meetings), to identify open issues and provide future research directions.
How To Protect Children From Internet Predators: A Phenomenological Study
Authors: Alexander Rodney
Published: February 2025

Teenage Internet users are the fastest growing segment in the Internet user population. These teenagers are at risk of sexual assault from Internet predators. This phenomenological study explored teacher and counselors' perceptions of how to prevent this sexual assault. Twenty-five teacher and counselor participants were interviewed. A modified van Kaam method was used to analyze the data and develop themes. Participants stated that mainly the lack of parental support and social networking website were the circumstances leading to teenage Internet sexual assault, while teen needs and gratification usually played a role in teen encounters with predators on the Internet. There were 5 emergent themes in this phenomenological study and those themes were; lack of parental support, social networking websites and chat rooms, teenage need for relationships, instant gratification among teenagers, improved parental support.
Representing the Quality of Crime Scenarios in a Bayesian Network
Authors: Vlek Charlotte S.  , Prakken Henry  , Renooij Silja  , Verheij Bart
Published: February 2025

Bayesian networks have gained popularity as a probabilistic tool for reasoning with legal evidence. However, two common difficulties are (1) the construction and (2) the understanding of a network. In previous work, we proposed to use narrative tools and in particular scenario schemes to assist the construction and the understanding of Bayesian networks for legal cases. We proposed a construction method and a reporting format for explaining or understanding the network. The quality of a scenario, which plays an important role in the narrative approach to evidential reasoning, was not yet included in this method. In this paper, we provide a discussion of what constitutes the quality of a scenario, in terms of the narrative concepts of completeness, consistency and plausibility. We propose a probabilistic interpretation of these concepts, and show how they can be incorporated in our previously proposed method. We also illustrate with an example how these concepts concerning scenario quality can be used to explain or understand a Bayesian network.
Extracting Hohfeldian Relations from Text
Authors: Peters Wim  , Wyner Adam
Published: February 2025

This paper presents a semi-automatic methodology and application for identifying the Hohfeldian relation Duty in legal text, using the General Architecture for Text Engineering tool for the automated extraction of Duty instances and its associated roles. The method incrementally supports scholars in their interpretation.
Ontology Design Pattern Extractions for Ontology Visualization
Authors: Lomov Pavel  , Shishaev Maxim
Published: February 2025

This work continues investigation of a problem of ontology visualization focused on effective ontological knowledge transmission to an user. For achievement of this purpose the authors had offered to form on the basis of an ontology fragments special structures – cognitive frames (CFs) which allowed to represent concepts of ontology in a compact and complete visual image aimed at perception by user not familiar with ontological modeling. The general ways of OWL axioms interpretation as a sets of SKOS model elements for their adaptation for visualization by means of CFs are presented.
Privacy Enhancing Technology through a Privacy Wallet
Authors: Kramer Frank  , Jäger Oliver  , Thalheim Bernhard
Published: February 2025

Private data should often not distributed to other users than those that got an access on common consent and settled trust. Nobody and no company else should have an access to such data. Protection of privacy becomes more difficult in mobile environments and thus requires novel approaches to privacy enhancing technologies. The Privacy Wallet is a mobile application that supports exchange of data on consent and protects from unauthorised access and distribution. The owner of the data is the master of that data. The holder has only access on common consent.
Benchmark for Smart Cities
Authors: Alsabi Eiman  , Alrwais Layla  , Alosimai Reem  , Alrwais Ruba  , Dahanayake Ajantha
Published: February 2025

Smart cities make use of ICT in an effective ways to manage their resources to achieve high satisfaction levels for their citizens. The smart city applications are ICT services, they immensely depend on the achievement of characteristics, factors, and indicators to measure the degree of ICT that contribute to provide services. Therefore, the degree of ICT permits the judgment of the level of smartness of a city. This research proposes an enhanced framework to evaluate the smartness of a city based on three functional layers comprising of three smartness measuring factors (SMF). The smart measuring factors include smart infrastructure, smart citizen, smart governance, smart mobility, smart economy, smart lifestyle, smart technology adaptation tendency, smart service integration level, smart response feedback model and ICT Maturity comprise of the umbrella activity. The proposed framework computes the level of efficiency in utilizing city's resources and thus fills the research gap presenting a way to the evaluation of the smart cities.
A Conceptual Model of Fishery in Resource-Event-Agent Framework
Authors: Ito Sohei  , Aoki Kunimasa  , Kajitori Kazuaki
Published: February 2025

In this paper we present a conceptual model of fishery based on Resource-Event-Agent (REA) framework. We identify the concepts and relationships among them existing in fishery. The knowledge structure of fishery is formally presented so that the conceptual model be a formal ontology. For this, we introduce a formal semantic structure and a logical language. The meaning of the fishery-specific concepts and relationships is described as logical axioms. Through this formal approach, we discuss the adequateness and compatibility of REA framework to model fishery.
Mutual Resource Exchanging Model in Mobile Computing and its Application to Hybrid Learning
Authors: Yoshida Naofumi
Published: February 2025

The only way for efficient use of limited resources is exchanging them each other in mobile environment. In this paper, an application for hybrid learning of wave pattern detection is presented. The detection accuracy and speed will be improved by exchanging learning results mutually among integrated detection methods. By this model, flexible and elastic usability can be implemented on mobile devices in mobile computing environment. And hybrid learning of wave pattern detection enables us to elastic and intelligent learning among devices.
Introducing cultural issues and cultural awareness in conceptual modelling education
Authors: Welzer Tatjana  , Družovec Marjan  , Nemec Zlatolas Lili  , Hölbl Marko  , Jaakkola Hannu  , Ivanović Mirjana  , Radovanović Miloš
Published: February 2025

Conceptual modelling education is often a part of any Informatics and Computer Science curricula but is also included in other study programs where conceptual modelling knowledge is needed. Conceptual modelling is well defined and numerous sources are available in existing literature. The steps to develop conceptual models are easy to learn and support is possible also via different tools, based on a theoretical background, mostly through the Peter Chen approach. In general, such an educational approach can be described as a standard conceptual modelling education. But, unfortunately, standard conceptual modeling education does not inform culturally-aware developers of conceptual models. The confidence and assurance that cross cultural issues and cultural awareness will be considered in the phase of conceptual modelling could be reached on one side by upgrading the conceptual modeling approach with a cultural point of view, as well as by introducing cultural issues into conceptual modelling education. Students need to be aware of basic cultural issues and concepts and their influence on conceptual modeling. In the long term, the mentioned content should become part of standard conceptual modeling education. This means changes in the content of curricula as well as a change in thinking by students and teachers.
Global Communication with Icons in Environmental Contexts
Authors: Heimbürger Anneli
Published: February 2025

Icons are small signs with fixed meanings. Icons are usually context specific. For example in the context of a hotel, the client can often find icons in hotel room books and safety guides. Scandic Hotel chain, for example, currently provides the manual for its safety system in 14 languages. There are at least two major shortcomings of this system: (1) in emergency or panic situations, it is very difficult to find your own language from the leaflet, and (2) there are no Asian languages. There is an obvious need for a global icon-based hotel safety language. In our paper, we introduce an icon-based model, language and mobile application for hotel safety.
A Granular Way to Construct a Rule-Based Fuzzy Hierarchical Model
Authors: Niu Pian  , Song Ming-Li  , Liang Chao
Published: February 2025

In this paper, building a rule-based fuzzy hierarchical model with information granules is accomplished. In this scenario, a number of separate sources of data and the resulting individual fuzzy models formed on their basis are encountered. The ultimate objective is to realize rule-based fuzzy modeling globally on the basis of invoking some mechanisms of knowledge sharing and reconciliation. The underlying format of knowledge built by individual systems is that of information granules and fuzzy sets in particular. Thus, a mechanism of generating information granules named the principle of justifiable granularity is explicated.
Research on the Evaluation Model of Brand Competitiveness of Power Enterprises Based on the Fuzzy Comprehensive Evaluation Method
Authors: Cai Tao  , Dai Hong-Cai  , Song Hai-Xu
Published: February 2025

Brand competitiveness can be used to measure brand value, by building a model system to measure the brand competitiveness to reflect the intrinsic value contained. Since the launch of China's power sector reforms, the market competition mechanism has been gradually introduced and the brand has become an important asset of power enterprises. To scientifically measure the brand value of power enterprises to achieve steady improvement of brand value, an evaluation model of brand competitiveness of power enterprises is built in this paper from five dimensions; brand awareness, brand popularity, brand reputation, brand loyalty, and brand association. In addition, the fuzzy comprehensive evaluation method is used for comprehensive calculations of the evaluation results. The evaluation results have significant value for measuring the brand value of power enterprises and enhancing brand competitiveness.
An Information Recommendation Method Based on User Interest Model
Authors: Hu Jia-Ting  , Li Sheng
Published: February 2025

Most of the existing works on travel recommendations are based on check-in data or photos. From a distinct point of view, the present research pays attention to network travelogues that contain a large number of users' evaluation information on tourism items. By analyzing the sentiment inclinations, demographic information and user's web access actions, a hybrid user interest model based on ontology is established. When a query is submitted, neighbors who have similar sentiment inclinations are found by this model, and then the interest degree of tourism items that are located in the same category of target query item can be predicted according to the user's historical behavior. The results show that our hybrid ontology model can make tourism item recommendations more effectively than the standard or pure ontology models, and better solve the cold start problem.
A Classification Method for Speech Signal Nonlinear Prediction Models
Authors: Zhang Yu-Mei  , Li Jing-Jing  , Wu Xiao-Jun
Published: February 2025

In this paper, a new nonlinear classification method was built by using GP (Genetic Programming) and SVM (Support Vector Machine) for modeling and classification respectively, based on the nonlinear and chaotic characteristics of speech signals. The key problem of speech signal processing is to select the best model for different speech samples. In order to solve this problem, GP is used to build the nonlinear model for each frame of the speech signal. Then, three classifications of nonlinear predictive models can be obtained that possess certain generalization abilities. After calculating the chaos characteristic parameters of speech signal, such as embedding dimension, time delay and Lyapunov index, SVM is used to classify the speech signals. Then, an improved optimization algorithm is introduced to optimize the parameters in the model. Through several experiments, the results demonstrated that the classification method has significant advantages compared with the conventional linear prediction model and the single nonlinear model.
Adoption and Use of a Mobile Health Application in Older Adults for Cognitive Stimulation
Authors: Yasini Mobin  , Marchand Guillaume
Published: February 2025

Serious games could be used to improve cognitive functions in the elderly. We evaluated the adoption of a new tablet application dedicated to cognitive stimulation in the elderly. The Stim'Art application offers various serious games to work different cognitive functions (memory, attention, concentration, etc.). The usage of fifteen older adults was followed for six months. The type of the game, the number of launches for each game, the time spent on each game, the difficulty level, the success rate and perceived well-being of users have been studied and compared at the end of the first and the sixth months. The participants have played half an hour per day on average. The average time of playing per day in the sixth month was significantly higher than the average time of playing during the first month (p value < 7 * 10−4). The same result was found for the average number of game launches per day (p value < 7 * 10−4). However, older people seem not to launch more difficult levels in the last month. The success rate at sixth months was significantly higher than the success rate at the end of the first month (p value < 6.4 * 10−4). Generally, seniors have had an improvement in their wellbeing score judged by themselves. Our study showed that the mobile application receives a good admission from users. The results are promising and can pave the way for improving cognitive function in the elderly patients. The use of tablets and the constitution of serious games in close cooperation with health professionals and elderly patients (the end user), are likely to provide satisfactory results to improve healthcare provided for elderly patients suffering from cognitive disorders.
Integrated System for Monitoring and Prevention in Obstetrics-Gynaecology
Authors: Robu Andreea  , Gauca Bianca  , Crisan-Vida Mihaela  , Stoicu-Tivadar Lăcrămioara
Published: February 2025

A better monitoring of pregnant women, mainly during the third trimester of pregnancy and an easy communication between physician and patients are very important for the prevention and good health of baby and mother. The paper presents an integrated system as support for the Obstetrics – Gynaecology domain consisting in two modules: a mobile application, ObGynCare, dedicated to the pregnant women and a new component of the Obstetrics-Gynaecology Department Information System dedicated to the physicians for a better monitoring of the pregnant women. The mobile application informs the pregnant women about their status, permits them to introduce glycaemia and weight values and has as option pulse and blood pressure acquisition from a smart sensor and provides results in a graphic format. It also provides support for easy patient-doctor communication related to any health problems. ObGyn Care offers nutrition recommendations and gives the pregnant women the possibility to enter a social space of common interests using social networks (Facebook) to exchange useful and practical information. Data collected from patients and from sensor are stored on the cloud and the physician may access the information and analyse it. The extended module of the Obstetrics-Gynaecology Department Information System already developed supports the physicians to visualize weekly, monthly, or on a trimester, the patient data and to discuss with her through the chat module. The mobile application is in test by pregnant women and medical personnel.
A Prototype Full Duplex Data Transfer System based on Red Laser Pointer Module
Authors: Leelawattananon Tanaporn  , Chittayasothorn Suphamit
Published: February 2025

This research work presents the development of a prototype short distance, full duplex data transfer system using red pointer module as the light transmitter and PIN photodiode as the receiver. The system is low cost, stable, and has low power consumption.) This data transfer unit is connected to a computer system using the Prolific USB-to-Serial Com Port chipset which also uses the computer as its power source. The unit is used for data transfers between two nearby computer systems or peripheral devices. In this work, a data transfer program is developed. The program was written in the visual C# language. It is convenient to specify the COM port and the appropriate bit rates. Data transfers of both text and graphical data are tested and results are discussed; both with and without moving object interferences. This data transfer unit has the potential for applications in EMI-sensitive environments and moving objects interferences.
Personal Data Analytics for Well-Being Oriented Life Support: Experiment and Feasibility Study
Authors: Kasuya Seiji  , Zhou Xiaokang  , Nishimura Shoji  , Jin Qun
Published: February 2025

In this study, we concentrate on a feasibility study on personal data analysis for well-being oriented life support. We introduce our basic concept and model to describe the personal data collected from people's daily life, and discuss how to utilize the personal analysis to provide users with the individualized services in their daily lives. Finally, we present the experimental analysis based on people's daily activity data, to demonstrate the feasibility of our proposed approach.
Development of a Secured Cloud Based Health Information System for Antenatal and Postnatal Clinic in an African Country
Authors: Ajayi Priscilla  , Omoregbe Nicholas  , Adeloye Davies  , Misra Sanjay
Published: February 2025

Maternal Mortality Ratio (MMR) in many African countries has consistently been in the range of 500–800 per 100,000 live births over the last two decades. A major challenge in these settings relates to the quality and promptness of antenatal and/or post-natal care given. Recent advancements in technology, notably health information systems (HIS), have helped in the response to many of these challenges. In Africa, and indeed Nigeria, there is yet a comprehensive HIS that cuts across health sector that can address these issues. Hence, this project seeks to design a Secured Cloud-Based Antenatal and Postnatal Clinic System of a Health Information System to assist in efficient utilization of material and human resources and enhance quality of delivery of health services, geared towards improving maternal health. Requirements gathering for the proposed system will be conducted through a study of Antenatal and Postnatal Clinic Systems of existing Cloud Based HIS. System Modeling and Implementation Evaluation would be carried out. The developed HIS will adopt a AGATE architecture (Stakes and objectives of the system Description of the related organizations, processes and information flows, Security requirements, Services of the system, and traceability with operational needs), and a test-run and evaluation of the completed project will be conducted at specified three primary health care facilities in Nigeria.
Adapted Cloudlet for Mobile Distance Learning: Design, Prototype and Evaluation
Authors: Azeta Ambrose A.  , Omoregbe Nicholas A.  , Misra Sanjay  , Adewumi Adewole  , Olokunde Temitope O.
Published: February 2025

The Open and Distance Learning (ODL) currently operated by some institutions in Nigeria has problems of accessibility from remote locations due to bandwidth and latency issues. To address accessibility problem caused by network delays, cloudlet computing is introduced. With cloudlet technology, distant mobile learners are able to connect to the nearby cloudlet and access the learning content. Instead of relying on a distant cloud with latency issues during access, a nearby cloudlet with rich resources could go a long way to address the resource poverty of a mobile device. This paper presents an architectural design and a prototype implementation of an adapted cloudlet for mobile distance learning. The paper proposes a feature in which the learning content in the cloud or cloudlet platform is adapted to a nearby mobile learner depending on the availability of platform with minimum delays in terms of bandwidth and latency.
Deadlock Prevention for Resource Allocation in Heterogeneous Distributed Platforms
Authors: Nguyen Ha Huy Cuong
Published: February 2025

Resource allocation and the associated deadlock prevention problem originated in the design and the implementation of the operating systems, comprising distributed computing, parallel computing and grid computing. This paper presents an improving deadlock prevention algorithm used to schedule the policies of resource supply for resource allocation on heterogeneous distributed platform. In the current scenario, deadlock prevention algorithm using two way search method has created the problem of taking higher time complexity of O () arc traversal as the edge (v,w) is added to the graph. This paper proposes the algorithms for allocating multiple resources to competing services running in virtual machines on a heterogeneous distributed platform. We have implemented and performed our algorithm proposed by using CloudSim simulator. The experiments results show that our algorithm can quickly prevent deadlock and then resolve the situation of approximately orders of magnitude in practical cases.
Animated Scatterplot – Analysis of Time-Oriented Data of Diabetes Patients
Authors: Pohl Margit  , Endl Harald  , Fels Ulrich
Published: February 2025

Animated scatterplot visualizations promise to be useful tools for analyzing trends in time-oriented data. We evaluated such a visualization for the analysis of time-oriented medical data. We found 10 medical professionals to test the software which visualizes clinical diabetes patient cohorts. To analyze the usability of the software, the methods “Thinking Aloud” and structured interviews were used. Results show that animated scatterplots do support medical professionals in their daily work, in contrast to more negative results of scientific research in the past.
A Smartwatch-Based Assistance System for the Elderly Performing Fall Detection, Unusual Inactivity Recognition and Medication Reminding
Authors: Deutsch Markus  , Burgsteiner Harald
Published: February 2025

The growing number of elderly people in our society makes it increasingly important to help them live an independent and self-determined life up until a high age. A smartwatch-based assistance system should be implemented that is capable of automatically detecting emergencies and helping elderly people to adhere to their medical therapy. Using the acceleration data of a widely available smartwatch, we implemented fall detection and inactivity recognition based on a smartphone connected via Bluetooth. The resulting system is capable of performing fall detection, inactivity recognition, issuing medication reminders and alerting relatives upon manual activation. Though some challenges, like the dependence on a smartphone remain, the resulting system is a promising approach to help elderly people as well as their relatives to live independently and with a feeling of safety.
Mediating the Cognitive Walkthrough with Patient Groups to achieve Personalized Health in Chronic Disease Self-Management System Evaluation
Authors: Georgsson Mattias  , Kushniruk Andre
Published: February 2025

The cognitive walkthrough (CW) is a task-based, expert inspection usability evaluation method involving benefits such as cost effectiveness and efficiency. A drawback of the method is that it doesn't involve the user perspective from real users but instead is based on experts' predictions about the usability of the system and how users interact. In this paper, we propose a way of involving the user in an expert evaluation method by modifying the CW with patient groups as mediators. This along with other modifications include a dual domain session facilitator, specific patient groups and three different phases: 1) a preparation phase where suitable tasks are developed by a panel of experts and patients, validated through the content validity index 2) a patient user evaluation phase including an individual and collaborative process part 3) an analysis and coding phase where all data is digitalized and synthesized making use of Qualitative Data Analysis Software (QDAS) to determine usability deficiencies. We predict that this way of evaluating will utilize the benefits of the expert methods, also providing a way of including the patient user of these self-management systems. Results from this prospective study should provide evidence of the usefulness of this method modification.
Towards a Cross-domain Infrastructure to Support Electronic Identification and Capability Lookup for Cross-border ePrescription/Patient Summary Services
Authors: Katehakis Dimitrios G.  , Masi Massimiliano  , Wisniewski Francois  , Bittins Sören
Published: February 2025

Seamless patient identification, as well as locating capabilities of remote services, are considered to be key enablers for large scale deployment of facilities to support the delivery of cross-border healthcare. This work highlights challenges investigated within the context of the Electronic Simple European Networked Services (e-SENS) large scale pilot (LSP) project, aiming to assist the deployment of cross-border, digital, public services through generic, re-usable technical components or Building Blocks (BBs). Through the case for the cross-border ePrescription/Patient Summary (eP/PS) service the paper demonstrates how experience coming from other domains, in regard to electronic identification (eID) and capability lookup, can be utilized in trying to raise technology readiness levels in disease diagnosis and treatment. The need for consolidating the existing outcomes of non-health specific BBs is examined, together with related issues that need to be resolved, for improving technical certainty and making it easier for citizens who travel to use innovative eHealth services, and potentially share personal health records (PHRs) with other providers abroad, in a regulated manner.
Design and development of an impedimetric-based system for the remote monitoring of home-based dialysis patients
Authors: Montalibet Amalric  , Arkouche Walid  , Bogónez Franco Paco  , Bonnet Stéphane  , Clarion Antoine  , Delhomme Georges  , Géhin Claudine  , Gharbi Sadok  , Guillemaud Régis  , Jallon Pierre  , Massot Bertrand  , Pham Pascale  , Ribbe-Cornet Eva  , McAdams Eric
Published: February 2025

A key clinical challenge is to determine the desired ‘dry weight’ of a patient in order to terminate the dialysis procedure at the optimal moment and thus avoid the effects of over- and under-hydration. It has been found that the effects of haemodialysis on patients can be conveniently monitored using whole-body bioimpedance measurements. The identified need of assessing the hydrational status of patients undergoing haemodialysis at home gave rise to the present Dialydom (DIALYse à DOMicile) project. The aim of the project is to develop a convenient miniaturised impedance monitoring device for localised measurements (on the calf) in order to estimate an impedimetric hydrational index of the home-based patient, and to transmit this and other parameters to a remote clinical site. Many challenges must be overcome to develop a robust and valid home-based device. Some of these are presented in the paper.
Current Status and Quality Assessment of Cardiovascular Diseases Related Smartphone Apps in China
Authors: Xiao Qian  , Wang Yanling  , Sun Liu  , Lu Sai  , Wu Ying
Published: February 2025

To examine current status and quality of CVD related apps available for download in China, a total of 151 apps from the top popular six app stores were analyzed. Data analysis uncovered a range of issues including missing of key variables in the pre-formatted daily records, no platform for interaction with relevant healthcare professionals and undesirable user-interface design. More importantly, these apps had low levels of adherence to internationally recognized guidelines in CVD management. Overall quality score of these apps was below the average (8.08/20). This study identified areas for improvement concerning the existing CVD related apps. Information may guide the further advancement of CVD related apps and benefit CVD management in China.
Structural Equation Model of Health Promoting Behaviors for Health Information Seekers with Mobile
Authors: Choi Hanna  , Kim Jeongeun  , Byun Ahjung
Published: February 2025

This study was conducted on verifying whether variables such as prior health related behaviors, health literacy, interpersonal influence, perceived ease of use and usefulness of health information, and behavioral intention could predict actual health promoting behaviors of consumers using health information with mobile in the future. The research model was based on Technology Acceptance Model. Data were collected from 199 mobile health information seekers. Participants' actual health promoting behaviors were checked after 3 months from pre-data collection. The final modified model had good fit indices.
Elements of Scenario-Based Learning on Suicidal Patient Care Using Real-Time Video
Authors: Lu Chuehfen  , Lee Hueying  , Hsu Shuhui  , Shu Inmei
Published: February 2025

This study aims understanding of students' learning experiences when receiving scenario-based learning combined with real-time video. Videos that recorded student nurses intervention with a suicidal standardized patient (SP) were replayed immediately as teaching materials. Videos clips and field notes from ten classes were analysed. Investigators and method triangulation were used to boost the robustness of the study. Three key elements, emotional involvement, concretizing of the teaching material and substitute learning were identified. Emotions were evoked among the SP, the student performer and the students who were observing, thus facilitating a learning effect. Concretizing of the teaching material refers to students were able to focus on the discussions using visual and verbal information. Substitute learning occurred when the students watching the videos, both the strengths and weaknesses represented were similar to those that would be likely to occur. These key elements explicate their learning experience and suggested a strategic teaching method.
Technology Readiness of Early Career Nurse Trainees: Utilization of the Technology Readiness Index (TRI)
Authors: Odlum Michelle
Published: February 2025

Health Information Technology (HIT) adoption by clinicians, including nurses, will lead to reduction in healthcare costs and clinical errors and improve health outcomes. Understanding the importance of technology adoption, the current study utilized the Technology Readiness Index to explore technology perceptions of nursing students. Our analysis identifies factors that may influence perceptions of technology, including decreased optimism for students with clinical experience and increased discomfort of US born students. Our study provides insight to inform training programs to further meet the increasing demands of skilled nursing staff.
Adoption of Speech Recognition Technology in Community Healthcare Nursing
Authors: Al-Masslawi Dawood  , Block Lori  , Ronquillo Charlene
Published: February 2025

Adoption of new health information technology is shown to be challenging. However, the degree to which new technology will be adopted can be predicted by measures of usefulness and ease of use. In this work these key determining factors are focused on for design of a wound documentation tool. In the context of wound care at home, consistent with evidence in the literature from similar settings, use of Speech Recognition Technology (SRT) for patient documentation has shown promise. To achieve a user-centred design, the results from a conducted ethnographic fieldwork are used to inform SRT features; furthermore, exploratory prototyping is used to collect feedback about the wound documentation tool from home care nurses. During this study, measures developed for healthcare applications of the Technology Acceptance Model will be used, to identify SRT features that improve usefulness (e.g. increased accuracy, saving time) or ease of use (e.g. lowering mental/physical effort, easy to remember tasks). The identified features will be used to create a low fidelity prototype that will be evaluated in future experiments.
Current Trends in Nursing Informatics: Results of an International Survey
Authors: Peltonen Laura-Maria  , Alhuwail Dari  , Ali Samira  , Badger Martha K.  , Eler Gabrielle Jacklin  , Georgsson Mattias  , Islam Tasneem  , Jeon Eunjoo  , Jung Hyunggu  , Kuo Chiu-Hsiang  , Lewis Adrienne  , Pruinelli Lisiane  , Ronquillo Charlene  , Sarmiento Raymond Francis  , Sommer Janine  , Tayaben Jude L.  , Topaz Maxim
Published: February 2025

Nursing informatics (NI) can help provide effective and safe healthcare. This study aimed to describe current research trends in NI. In the summer 2015, the IMIA–NI Students Working Group created and distributed an online international survey of the current NI trends. A total of 402 responses were submitted from 44 countries. We identified a top five NI research areas: standardized terminologies, mobile health, clinical decision support, patient safety and big data research. NI research funding was considered to be difficult to acquire by the respondents. Overall, current NI research on education, clinical practice, administration and theory is still scarce, with theory being the least common. Further research is needed to explain the impact of these trends and the needs from clinical practice.
Patients' Opinions on Display Methods to Protect Privacy
Authors: Niimi Yukari  , Ota Katsumasa
Published: February 2025

The purpose of this study is to ascertain if patients will accept an electronic patient record system that temporarily conceals their private information. We interviewed 11 outpatients at a core hospital in Shizuoka prefecture of Japan. Most patients agree with our idea using temporary mosaic on the screen to protect their privacy.
Distance Education Programs: The Technical Support to Be Successful
Authors: McNew Ryan E.  , Gordon Jeffry S.  , Weiner Elizabeth E.  , Trangenstein Patricia
Published: February 2025

Academic success requires support on a variety of levels as well as access to contemporary tools and services. Supporting students enrolled in a successful higher education distance learning program, requires a strong, properly trained IT support staff in addition to a stable IT environment. Our distance education program began with a regional market but has grown significantly over the past few years. This is primarily due to the success of our distance education tools and support which have contributed to achieving a ranking of eleventh of best graduate schools in nursing according to the U.S. News and World Report. The entire student population is “Bring Your Own Devices” (BYOD). Critical to this support is the initial configuration and loading of needed software during the first week of orientation. All of this success requires a robust team of members prepared in a range of skill sets from networking to instructional design.
Antipattern Comprehension: An Empirical Evaluation
Authors: Hou Tie  , Chapman Peter  , Blake Andrew
Published: February 2025

Comprehension of justifications is known to be difficult for even experienced ontology engineers, and much more so for other stakeholders. In this paper, we present two methods for displaying justifications using concept diagrams: using multiple concept diagrams to represent the justification (one diagram for each axiom); and using a merged concept diagram to represent all axioms in the justification. We performed an empirical evaluation of both methods along with a textual representation of the justification using Protégé. The results were that novice users could both more accurately and more quickly identify an incoherence when using merged diagrams than using multiple diagrams or Protégé statements.
Design of an Innovative Information System for the Intensive Care Unit in a Public Hospital
Authors: Tsoromokos Dimitrios  , Tsaloukidis Nikolaos  , Dermatis Zacharias  , Gozadinos Filippos  , Lazakidou Athina
Published: February 2025

The health sector is increasingly focused on the use of Communication Technology (ICT) Information and Communication. New technologies which introduced in health, should lead to lower cost of procedures, saving employees' working time and immediate and secure data storages for easy future search or meta-analysis. The DPP4ICU application which presented in this document, allows at the Intensive Care Unit's nurses (ICU) to enter directly the handwritten accountability, in the Organization Information System. Through this application is accelerated the proper completion of a document and is improved data quality. The application provides the ability to authorized users to exchange information with an automated manner.
Improving Health Care Accessibility: Strategies and Recommendations
Authors: Almorsy Lamia  , Khalifa Mohamed
Published: February 2025

Access time refers to the interval between requesting and actual outpatient appointment. It reflects healthcare accessibility and has a great influence on patient treatment and satisfaction. King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia studied the accessibility to outpatient services in order to develop useful strategies and recommendations for improvement. Utilized, unutilized and no-show appointments were analyzed. It is crucial to manage no-shows and short notice appointment cancellations by preparing a waiting list for those patients who can be called in to an appointment on the same day using an open access policy. An overlapping appointment scheduling model can be useful to minimize patient waiting time and doctor idle time in addition to the sensible use of appointment overbooking that can significantly improve productivity.
Improving Reports Turnaround Time: An Essential Healthcare Quality Dimension
Authors: Khan Mustafa  , Khalid Parwaiz  , Al-Said Youssef  , Cupler Edward  , Almorsy Lamia  , Khalifa Mohamed
Published: February 2025

Turnaround time is one of the most important healthcare performance indicators. King Faisal Specialist Hospital and Research Center in Jeddah, Saudi Arabia worked on reducing the reports turnaround time of the neurophysiology lab from more than two weeks to only five working days for 90% of cases. The main quality improvement methodology used was the FOCUS PDCA. Using root cause analysis, Pareto analysis and qualitative survey methods, the main factors contributing to the delay of turnaround time and the suggested improvement strategies were identified and implemented, through restructuring transcriptionists daily tasks, rescheduling physicians time and alerting for new reports, engaging consultants, consistent coordination and prioritizing critical reports. After implementation; 92% of reports are verified within 5 days compared to only 6% before implementation. 7% of reports were verified in 5 days to 2 weeks and only 1% of reports needed more than 2 weeks compared to 76% before implementation.
An Ensemble Approach for Record Matching in Data Linkage
Authors: Poon Simon K.  , Poon Josiah  , Lam Mary K.  , Yin Qinglan  , Sze Daniel M.-Y.  , Wu Justin C.Y.  , Mok Vincent C.T.  , Ching Jessica Y.L.  , Chan Kam-Leung  , Cheung William H.N.  , Lau Alexander Y.
Published: February 2025

Objectives: To develop and test an optimal ensemble configuration of two complementary probabilistic data matching techniques namely Fellegi-Sunter (FS) and Jaro-Wrinkler (JW) with the goal of improving record matching accuracy.
Revisiting the Cross Entropy Method with Applications in Stochastic Global Optimization and Reinforcement Learning
Authors: Joseph Ajin George  , Bhatnagar Shalabh
Published: February 2025

In this paper, we provide a new algorithm for the problem of stochastic global optimization where only noisy versions of the objective function are available. The algorithm is inspired by the well known cross entropy (CE) method. The algorithm takes the shape of a multi-timescale stochastic approximation algorithm, where we reuse the previous samples based on discounted averaging, and hence it saves the overall computational and storage cost. We provide proof of the stability and the global optimization property of our algorithm. The algorithm shows good performance on the noisy versions of global optimization benchmarks and outperforms a state-of-the-art algorithm for non-linear function approximation in reinforcement learning.
Clique-Width and Directed Width Measures for Answer-Set Programming
Authors: Bliem Bernhard  , Ordyniak Sebastian  , Woltran Stefan
Published: February 2025

Disjunctive Answer Set Programming (ASP) is a powerful declarative programming paradigm whose main decision problems are located on the second level of the polynomial hierarchy. Identifying tractable fragments and developing efficient algorithms for such fragments are thus important objectives in order to complement the sophisticated ASP systems available to date. Hard problems can become tractable if some problem parameter is bounded by a fixed constant; such problems are then called fixed-parameter tractable (FPT). While several FPT results for ASP exist, parameters that relate to directed or signed graphs representing the program at hand have been neglected so far. In this paper, we first give some negative observations showing that directed width measures on the dependency graph of a program do not lead to FPT results. We then consider the graph parameter of signed clique-width and present a novel dynamic programming algorithm that is FPT w.r.t. this parameter. Clique-width is more general than the well-known treewidth, and, to the best of our knowledge, ours is the first FPT algorithm for bounded clique-width for reasoning problems beyond SAT.
Learning Invariant Representation for Malicious Network Traffic Detection
Authors: Bartos Karel  , Sofka Michal  , Franc Vojtech
Published: February 2025

Statistical learning theory relies on an assumption that the joint distributions of observations and labels are the same in training and testing data. However, this assumption is violated in many real world problems, such as training a detector of malicious network traffic that can change over time as a result of attacker's detection evasion efforts. We propose to address this problem by creating an optimized representation, which significantly increases the robustness of detectors or classifiers trained under this distributional shift. The representation is created from bags of samples (e.g. network traffic logs) and is designed to be invariant under shifting and scaling of the feature values extracted from the logs and under permutation and size changes of the bags. The invariance is achieved by combining feature histograms with feature self-similarity matrices computed for each bag and significantly reduces the difference between the training and testing data. The parameters of the representation, such as histogram bin boundaries, are learned jointly with the classifier. We show that the representation is effective for training a detector of malicious traffic, achieving 90% precision and 67% recall on samples of previously unseen malware variants.
Skeptical, Weakly Skeptical, and Credulous Inference Based on Preferred Ranking Functions
Authors: Beierle Christoph  , Eichhorn Christian  , Kern-Isberner Gabriele  , Kutsch Steven
Published: February 2025

While the axiomatic system P is an important standard for plausible nonmonotonic reasoning, inference relations obtained from system Z or from c-representations have been designed which go beyond system P. In this paper, we propose the new concept of weakly skeptical inference that properly extends the recently introduced skeptical c-inference, but avoids disadvantages of a too liberal credulous inference. We extend the concepts of skeptical, weakly skeptical, and credulous c-inference by taking preferred models obtained from different minimality criteria into account. We illustrate the usefulness of the obtained inference relations, show that they fulfill various desirable properties, and elaborate on their interrelationships.
Learning the Structure of Dynamic Hybrid Relational Models
Authors: Nitti Davide  , Ravkic Irma  , Davis Jesse  , De Raedt Luc
Published: February 2025

Typical approaches to relational MDPs consider only discrete variables or else discretize the continuous variables prior to inference or learning. In contrast, we consider hybrid relational MDPs, which are represented as probabilistic programs and specify the probability density function of the continuous variables. Our key contribution is that we introduce a technique for learning their structure (and parameters) from data. The learned models contain rich relational descriptions as well as mathematical equations. We demonstrate the utility of our approach by learning a model that accurately predicts the effects of robot-arm actions. The learned model is then used for planning tasks.