bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing Telerehabilitation System for Multipronged Exercise in Patients with Multiple Sclerosis
Authors: Finkelstein Joseph  , Liu Jiazhen
Published: February 2025

Patients with multiple sclerosis (PwMS) were shown to greatly benefit from multipronged exercise interventions comprising aerobic, resistance and corrective therapeutic components which result in endurance and strength improvement and reduction of fatigue and spasticity. However, telerehabilitation support of multipronged exercise programs in PwMS with significant mobility impairment has received limited attention. It is not clear whether severely disabled PwMS can successfully operate a telerehabilitation system at home independently. The goal of this study was to design a telerehabilitation system for individualized multipronged exercise programs and to assess the feasibility of the initial prototype in PwMS with significant mobility impairment. Usability assessment was based on the evaluation of patient ability to successfully carry out a standardized list of common tasks necessary to operate the system. For each task, time to completion, perceived difficulty and satisfaction were documented. Our results indicated a high level of acceptance of the system by these patients. On average, it took 83±41 seconds to complete all the major tasks necessary to operate the telerehabilitation system. After the initial introduction, all patients were able to successfully use the system and follow their individualized exercise prescription independently. A definitive systematic evaluation in a randomized clinical trial is warranted to demonstrate potential clinical impact of telerehabilitation in PwMS.
Knowledge Formalization to Support Decision-Making in Heart Failure Treatment
Authors: Kamišalić Aida  , Riaño David  , Welzer Tatjana
Published: February 2025

This paper presents medical knowledge representation of data provided within Clinical Practice Guidelines for Heart Failure. The formalization is provided in order to support taking decisions on an appropriate treatment strategy for a specific patient. An intuitive and efficient mechanism of medical knowledge formalization, called extended Timed Transition Diagram (eTTD), is used to represent acquired medical knowledge. The presented models can be used to help students in their training as well as to support physicians with their decision-making tasks.
Similarity Detection Between Virtual Patients and Medical Curriculum Using R
Authors: Komenda Martin  , Ščavnický Jakub  , Růžičková Petra  , Karolyi Matěj  , Štourač Petr  , Schwarz Daniel
Published: February 2025

This paper presents the domain of information sciences, applied informatics and biomedical engineering, proposing to develop methods for an automated detection of similarities between two particular virtual learning environments – virtual patients at Akutne.cz and the OPTIMED curriculum management system – in order to provide support to clinically oriented stages of medical and healthcare studies. For this purpose, the authors used large amounts of text-based data collected by the system for mapping medical curricula and through the system for virtual patient authoring and delivery. The proposed text-mining algorithm for an automated detection of links between content entities of these systems has been successfully implemented by the means of a web-based toolbox.
Enhancing Nationwide Medico-Administrative Databases Analysis with SAF4SUHAD: A Statistical Analysis Framework for Secondary Use of Healthcare Administrative Databases
Authors: Georges Alexandre  , Balcaen Thibaut  , Caron Alexandre  , Ficheur Gregoire  , Chazard Emmanuel
Published: February 2025

Many epidemiological studies now rely on the reuse of large healthcare administrative databases. In those studies, most of the time is consumed in managing data and performing basic statistical analyses and is not available anymore for complex statistical and medical analysis, therefore the potential of such databases is sometimes underexploited. The objective of this work is to build SAF4SUHAD, a statistical analysis framework for secondary use of healthcare administrative databases, using literature-based specifications. A literature review was performed on PubMed in four different medical domains: caesarian deliveries, cholecystectomies, hip replacement surgeries and bariatric surgeries. We identified 22 papers relating analyses of large databases. They reported epidemiological indicators (e.g. mean age), that were abstracted to features (e.g. univariate description of a quantitative variable), and then were implemented through 32 functions available for the user in R programming language. For instance, a function will draw a histogram, compute the mean with confidence interval, quantiles, etc. Those functions comprehend 4 functions for data management, 9 for univariate analysis, 8 for bivariate analysis, 11 for multivariate analysis, and many other intermediate functions. Those functions were successfully used to analyze a French database of 250 million discharge summaries. The set of R ready-to-use functions defined in this work could enable to secure repetitive tasks, and to refocus efforts on expert analysis.
Strategies for Developing Students' Empathy and Awareness for the Needs of People with Disabilities: Contributions to Design Education
Authors: Medola Fausto Orsi  , Sandnes Frode Eika  , Ferrari Ana Lya Moya  , Rodrigues Ana Claudia Tavares
Published: February 2025

The design of products for people with disabilities requires the understanding of a wide range of factors related to users' health, functional abilities, needs, expectations and preferences. Such multifactorial perspective is often perceived as beyond the reach by the students of both graphic and product design, as it comprises knowledge from different areas such are not usually part of design curriculum as health, rehabilitation, computer science and biomedical engineering. Here, we report on strategies for developing design students' empathy and awareness for the needs and expectations of people with disabilities. By means of a combination of theoretical and practical approaches, a course on Inclusive Design was developed as part of the regular curriculum of the Bachelor Programme in Design at Sao Paulo State University (UNESP, Bauru campus, Brazil), with the collaborative participation of members of SORRI BAURU Rehabilitation Center. The final projects developed by the students were based on the demands presented by SORRI BAURU's rehabilitation team, and results reveal that the theoretical-practical approach based on interdisciplinarity was shown to provide the design students a learning experience that, ultimately, supports the quality decision-making in the design process. This paper describes the pedagogical approach, theoretical contents and practical activities developed during the Inclusive Design course. The challenges, benefits, results, and contributions of this experience from the perspective of the design education are also discussed.
Categorization and Comparison of Accessibility Testing Methods for Software Development
Authors: Bai Aleksander  , Fuglerud Kristin  , Skjerve Rannveig A.  , Halbach Till
Published: February 2025

There are many methods for testing accessibility and universal design, ranging from checklists and guidelines to automated testing and finally to human testing with participants from different user groups. It is, however, not straight forward to determine how a testing method relates to impairments and barriers. In this work we have expanded the W3C cognitive barriers from one category to four categories in order to provide a better overview of cognitive barriers and testing methods. We also present an overview of multiple existing accessibility testing methods and what kind of barriers they cover. Finally, we present a recommendation on how to select a collection of accessibility testing methods in order to cover the broadest range of disabilities. Our focus is tools that can empower and ease work processes of software development teams, including both developers and testers.
Towards a More Inclusive University – Supporting Teachers Through Universal Design for Learning
Authors: Rydeman Bitte  , Eftring Håkan  , Hedvall Per-Olof
Published: February 2025

The diversity among Swedish university students is steadily increasing. The students have different backgrounds, experiences, interests, learning styles and abilities. Also, there are more students with disabilities at Swedish universities, especially invisible disabilities. Teachers need to adapt their teaching and curricula, and can no longer wait to do this until they spot a student with diverse learning preferences. Universal Design for Learning (UDL) is an approach to make a university more inclusive, by increasing the flexibility of how students can take in information, express their knowledge and be motivated in learning. Seven key persons at a Swedish university took part in focus group interviews about their views and experiences of diversity and inclusion. They represented key administrative and pedagogical functions, as well as a student organisation and learning support for students with disabilities. Qualitative content analysis of the interviews resulted in 10 themes: a) Attitudes and treatment b) Accessibility and participation c) Knowledge and competence d) Support and resources e) System and processes f) Organisation g) Teachers and education h) Students and student organisations i) Actions and solutions j) Future work.
An Informatics Framework for Maternal and Child Health (MCH) Monitoring
Authors: Henao Juan  , Quintana Yuri  , Safran Charles
Published: February 2025

Most cases of maternal deaths could be avoided with timely access to quality healthcare, but a key challenge in addressing quality of care in maternal health, is the lack of accurate data. We present a review of the difficulties of collecting and analyzing maternal health data. We propose a comprehensive informatics monitoring framework to track progress on the achievement of the international targets and priorities toward ending preventable maternal mortality and improving maternal and child health, that at the same time builds capacity at institutional and country level to collect indicators and to generate actionable and comparable knowledge that facilitates analysis, research, and evidence-based decision making.
Using Digital Health to Support Best Practices: Impact of MRI Ordering Guidelines Embedded Within an Electronic Referral Solution
Authors: Huebner Lori-Anne  , Mohammed Heba Tallah  , Menezes Ravi
Published: February 2025

Background: Between 2003 and 2012, the number of MRIs performed in Canada more than doubled to 1.7 million [1]. According to a 2010 Health Council of Canada report nearly 30% of MRIs were inappropriately ordered [2]. The use of diagnostic imaging referral guidelines has been shown to improve the appropriateness of imaging orders [3, 4].
Development of the Patient Experience Questionnaire for Parents of Pediatric Patients (PEQP)
Authors: Kaipio Johanna  , Karisalmi Nina  , Hiekkanen Kari  , Stenhammar Hanna  , Lahdenne Pekka
Published: February 2025

Patient experience (PX) is an important evaluation criterion for quality in healthcare. Compared to patient satisfaction, however less research has focused on the development of instruments to measure experiences of patients and their families. In the article, we describe the process of developing a PX questionnaire for the parents of pediatric patients in the context of children's hospital and illustrate the questionnaire items for measuring PX. The phases of the development process included retrospective interviews, description of the themes influencing PX and the metrics for measuring PX, as well as iterative development of three versions of questionnaires including data gathering and factor analysis. The final versions of the surveys suggested for implementation at the hospitals include eight PX statements for the outpatient clinic and five statements for the ward. Compared to satisfaction surveys, the developed surveys emphasize the aspects of parent's attitude towards the illness, support for families, and daily arrangements with a child patient.
An Ontology Approach for Knowledge Representation of ECG Data
Authors: Zouri Muthana  , Zouri Nicoleta  , Ferworn Alex
Published: February 2025

The number of features that can be extracted from ECG signals has increased with the advancement in signal processing techniques. At the same time, there is an increase in research efforts to support efficient and effective analysis and interpretation of these signals. In this paper, we propose the use of ontology for knowledge representation and discovery of ECG data. Given the lack of a widely acceptable standards, the use of ontology can support the establishment of common understanding of the kind of knowledge that can be extracted from the ECG data and shared among various heterogeneous systems. The proposed ontology is both platform and application independent. Furthermore, it is possible to enrich the proposed ontology with new knowledge that may not explicitly be expressed in the data.
Patient Empowerment: The Role of Technology
Authors: Daruwalla Zoish  , Thakkar Vidhi  , Aggarwal Monica  , Kiasatdolatabadi Anahita  , Guergachi Aziz  , Keshavjee Karim
Published: February 2025

Patient empowerment is a buzzword that has gained much currency in recent years. It is defined as a process that helps people gain control over their own lives and increases their capacity to act on issues that they themselves define as important. This paper outlines the problems faced by the current medical model of patient empowerment and proposes a unique framework for patient empowerment that provides guidance on how health technology supports or detracts from empowering patients and families. The paper provides an ethical lens for physicians, policymakers, patients, and families in the health care system to consider the central role of the principles of autonomy and justice in patient empowerment. This paper also discusses how technology can be used to further patient empowerment and patient-centeredness of health care systems.
Views of Users Towards the Quality of Picture Archiving and Communication System (PACS) in a Developing Country
Authors: Sarbaz Masoumeh  , Hosseini Nafiseh  , Kimiafar Khalil
Published: February 2025

PACS as a medical imaging technology is an information system that provides quick and convenient access to the medical images, as well as the quick and easy exchange of images and electronic reports among specialists in different departments. The objective of the study was to evaluate the PACS from the point of view of users in hospitals affiliated to Mashhad University of Medical Sciences. The study population consisted of the PACS' users (radiologists and the radiology technologists) in the radiology departments (103 staff). Data were collected through a questionnaire that was designed based on previous studies and published literature. From the views of users, quality of information of PACS had the highest average (Mean = 3.57±1.02), while quality of services had the lowest average (Mean = 2.99±0.19). About the quality of information, the highest and lowest averages were dedicated to information security (Mean = 4±0.69) and quality of pictures (Mean = 3.28±0.87), respectively. Generally, the findings of study indicate that there are problems in different parts of PACS quality in Iran and according to the high cost of purchasing, implementation, maintenance, and updating the PACS in hospitals, proper selection and use of software and hardware as well as proper maintenance of the system may lead to not only return on investment but also provision of telemedicine.
Standardizing Austrians Claims Data Using the OMOP Common Data Model: A Feasibility Study
Authors: Haberson Andrea  , Rinner Christoph  , Gall Walter
Published: February 2025

The suitability of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) for Austrian pseudonymized claims data from social security institutions and information about hospital stays is evaluated. 1,023 (99.7%) of ATC codes and 3,695 (98.6%) of ICD10 codes coincide with the OMOP vocabulary. Mappings for the local vocabularies like the Austrian pharmaceutical registration numbers, the Socio-Economic Index and professional groups, to the OMOP vocabulary do not exist. A standardization with the OMOP CDM is possible, however an initial, not negligible effort is required to adapt and incorporate the vocabulary.
PoleSat_2018: A Strategic IT Tool for Spatial Simulation Modelling of Hospital Planning
Authors: Quesnel-Barbet Anne  , Soula Julien  , Bazile Pierre  , Sauleau Eric-André  , Parrend Pierre
Published: February 2025

Geomatics becomes a major field of science facing challenges to assist medical informatics and health decision makers thanks to attractive concepts, methods and easy, user-friendly-way IT technologies. PoleSat_2018 presents a web-based graphical user interface with an embedded optimized and automated algorithm. It is primarily geared for geomatics non-specialists and allows computer simulations by modelling scenarios of hospital grouping and/or closure. The consultation, reflection, prospective views, offered in a very short time to policy makers will find a successful support for health planning strategic decisions.
An Ontological Framework to Improve Surveillance of Adverse Childhood Experiences (ACEs)
Authors: Brenas Jon Haël  , Shin Eun Kyong  , Shaban-Nejad Arash
Published: February 2025

Adverse Childhood Experiences (ACEs) have been proven to be linked to increased risks of a multitude of negative health outcomes and conditions when children reach adulthood and beyond. To better understand the relationship between ACEs and the associated health outcomes and eventually to pan and implement preventive interventions, access to an integrated coherent actionable data set is crucial. In this paper, we introduce a formal reusable ontological framework to capture the knowledge in the domain of Adverse Childhood Experiences to improve ACEs surveillance and response.
Improving and Evaluating eMMA's Communication Skills: A Chatbot for Managing Medication
Authors: Hess Gabriel Immanuel  , Fricker Guillaume  , Denecke Kerstin
Published: February 2025

In previous work, a mobile application for medication self-management (eMMA) was introduced. It contained a basic conversational user interface (CUI). In this work, we extended the CUI by integrating the chatbot framework RiveScript and an instruction interface. To study task success, dialog quality and efficiency, we performed a theoretical and a quantitative evaluation as well as a usability test. The results show that the technical extensions of eMMA were useful to improve the chatbot's quality. However, the underlying knowledge base still requires substantial extensions before the system can be used in practice.
Automated Rating of Multiple Sclerosis Test Results Using a Convolutional Neural Network
Authors: Birchmeier Martin Eduard  , Studer Tobias
Published: February 2025

This work concerns methods for automated rating of the progression of Multiple Sclerosis (MS). Often, MS patients develop cognitive deficits. The Brief Visuospatial Memory Test-Revised (BVMT-R) is a recognized method to measure optical recognition deficits and their progression. Typically, the test is carried out on paper using geometric figures which the patient should recognize and trace. The results are rated manually by a physician. The goal of this work was to digitize the BVMT-R and to support the interpretation of the test results using a machine learning (ML) algorithm. A convolutional neural network (CNN) was used to rate the drawings of a patient. As a result, the correct point value of the BVMT-R could be determined with an accuracy between 57% and 76% based on a training set of 624 patient drawings obtained from 135 patients. These drawings had been previously physician rated to serve as a gold standard. In our experiment, we obtained reasonable accuracy above 80% when more than 40 drawings were available, but our training sample was too small for more detailed analysis.
Does eHealth Literacy Impact Patients' Opinion on the EHR?
Authors: Möri Nora  , Bürki Jeannine  , de Oliveira Matos Priscilla  , Düllmann Philippe  , Fricker Guillaume  , Gehri Yannick  , Glauser Robin  , Gund Yann  , Haller Cynthia  , Kilchherr Sabine  , Landolt Andy  , Leuenberger Luca  , Lüscher Lisa  , Müller Nicole  , Schwarz Marco  , Sinnappah Thevian  , Uthayathas Gausegan  , Drewlow Joshua
Published: February 2025

An electronic health record (EHR) will be established nationwide in Switzerland in 2020. Patients can decide on their own whether they open an EHR. It is still unclear what might influence the patient decision. For this reason, we performed an online survey among the Swiss population to study whether there is a lack of knowledge on the EHR which impacts the willingness to open a personal health record and agree to health data sharing. A questionnaire with 13 question was distributed in a period of 4 weeks. More than 1200 participants replied to the survey. The results were analyzed with statistical methods. There are correlations between some of the questions in our survey. We conclude that the willingness to open a personal health record directly depends on the trust into the enabling technology.
Smartphone-Based Remote Monitoring Solution for Heart Failure Patients
Authors: Lopes Inês  , Sousa Filipe  , Moreira Emilia  , Cardoso José
Published: February 2025

The hospitalisation of patients with Heart Failure (HF) represents an increasing problem for the healthcare system with more than 26 million worldwide suffering from this disease. Predictions demonstrate that the total health expenditure will increase by 127% in 2030. In Portugal, demographic changes caused by an ageing population are associated with an increase in HF incidence rate, forecasting 479.921 Heart Failure patients by 2035. In this paper, we present the smartBEAT solution that was developed to monitor Heart Failure patients so that physicians can early detect HF decompensation and prevent HF hospitalisations. SmartBEAT collects data from several sensors: weigh scale, blood pressures, physical activity bracelet – and transmits to the cloud where a decision support algorithm helps to detect acute episodes early. The system was evaluated during a pilot phase for two weeks with nine seniors, and later for 1-3 months with 38 seniors HF patients. Adherence to the evaluation protocol was high, and perceptions on wellbeing and control over the disease were considered positive. Moreover, healthcare professionals were overwhelmed with the patients' high adherence and found the usability of the portal high, and providing interesting information about patients' health status.
Development and Pilot Testing of a Mobile Based Patient Decision Aid for Childbirth Decision Making
Authors: Madhani Zahra  , Aslani Azam  , Kasraeian Maryam
Published: February 2025

Introduction: Patient Decision Aids (PtDA) facilitates Shared Medical Decision-Making (SDM). This study aims to facilitate the childbirth decision-making process by a decision aid mobile application.
Predicting Stock Returns in Indonesian Technology Companies
Authors:   Mahasaraswati Denpasar University, Mariyani Ni Putu , Saitri Putu Wenny ,   Mahasaraswati Denpasar University, Mendra Ni Putu Yuria ,   Mahasaraswati Denpasar University
Published: February 2025

Stock return is one of the considerations for investors in making investment decisions because when investing in shares, investors prefer companies that can provide high returns. This research aims to test and analyze the influence of several variables, including the proportion of profit margin earnings before interest, taxes, and depreciation (EBITDM), current ratio (CR), debt-to-equity ratio (DER), total asset turnover (TATO), and price-to-book value (PBV) on stock return in the technology sector listed on the Indonesia Stock Exchange (IDX) for the 2021–2023 period. The population in this study consists of companies in the technology sector listed on the IDX during the 2021–2023 period. The sample selection in this study used the purposive sampling method, with observations of 39 technology sector companies, and employed multiple linear regression analysis techniques. The research results show that the variables CR, TATO, and PBV have a positive effect on stock return, while EBITDM and DER have no effect on stock return. For further research, it is recommended to include other independent variables, such as return on equity (ROE), net profit margin (NPM), and dividend yield (DY). Additionally, subsequent studies should consider expanding the sample scope and extending the observation period
Analysis of Price Volatility and Downstream Strategy for Shallot Price Stability in Java Island
Authors:   Pembangunan Nasional “Veteran” Yogyakarta University, Bhinadi Ardito , Simatupang Bulan Lestari Yasinta ,   Pembangunan Nasional “Veteran” Yogyakarta University
Published: February 2025

Shallots are one of the horticultural products of seasonal crops whose prices have high volatility. Shallots are one of the commodities contributing to inflation in Java. This study aims to analyze the volatility and disparity of shallot prices in Indonesia in 2019-2024, focusing on provincial areas in Java. The analysis tools used price disparity, the food price variation coefficient, and importance-performance analysis. The study results show significant price fluctuations across different regions in Java. Shallot prices in Banten Province are elevated because of insufficient local supply. The price of shallots in East Java Province, which serves as the primary production center, tends to be lower than in other Java provinces. This study identifies the need for downstream processes as a strategic step to stabilize shallot prices. According to this study, improving infrastructure, research and development (R&D), and price stability measures is imperative to lower shallot price volatility, guarantee higher farmer earnings, and guarantee that consumers experience more stable pricing. Agriculture downstream is a crucial strategy to overcome shallot price volatility and improve overall supply chain efficiency
Clinical Profile of Babies Born by Caesarean Section in Tertiary Centre
Authors: Balagavi Shravanakumar P , Belsare Radhika , Umakant Bidkar Sayli
Published: February 2025

Background: Cesarean section is the surgical intervention in case of serious delivery complications and has been life-saving for a long period. The current study aimed to analyze the various indications of cesarean delivery over a period of 4 years. To evaluate the maternal and fetal outcomes between elective and emergency cesarean section
Methods: The demographic profile of the mothers was included in the study which included maternal history, age, obstetric history, and indications for Caesarean section, which was recorded on the proforma. At birth, the profile of the infants including gender, birth weight, gestational age, vitals, and APGAR score was recorded in the Caesarean operation theatre. The evaluation of newborns followed the guidelines from the neonatal resuscitation program. The neonates who did not need medical intervention were transferred for standard maternal care along with early breastfeeding initiation but those needing resuscitation received instant treatment.
Results: Emergency CS had lower mean APGAR scores (1st min: 7.87±2.10, 5th min: 8.51±2.12) than elective CS (1st min: 8.21±1.42, 5th min: 8.86±1.39). Most babies (72.03%) weighed 2.5-3.499 kg. Gestational age was mainly 37-42 weeks (71.05%). Primigravida mothers were the majority (41.5%), with most aged 21-25 (52.8%). Emergency CS (80.26%) was more common than elective CS (19.74%). The male-to-female ratio was 1.05:1. Neonatal complications were higher in emergency CS (14.76%) than in elective CS (7.9%) (P<0.01). Mean birth weights and gender distribution showed no statistical difference.
Conclusion: The incidence of cesarean sections was 26.46%. The incidence of emergency CS was 80.26%, compared with 19.74% for elective CS. The sex distribution of babies born through the cesarean section was found to be almost equally distributed among male and female neonates. The majority of the babies were full-term and weighed between 2.500 – 3.499 kgs. The majority of mothers were primigravidas and between 21-25 years of age. Fetal distress was the most common indication for emergency CS and ‘previous LSCS’ in elective CS cases.
Keywords: Emergency cesarean sections, Elective cesarean section (CS), Neonatal outcome, APGAR scores.
Kommunikative Formen im Kindergarten – ihre Bedeutung für die schulische Sozialisation und sprachliche Bildung
Authors: Isler Dieter , Wiesner Esther
Published: February 2025

Der Kindergartenalltag wird durch Handlungsmuster strukturiert, die Orientierung geben und Spielräume eröffnen. Diese Muster werden als kommunikative Formen videosequenzanalytisch untersucht.Der Kindergartenalltag wird durch Handlungsmuster strukturiert, die Orientierung geben und Spielräume eröffnen. Diese Muster werden als kommunikative Formen videosequenzanalytisch untersucht.
Qualität an Tagesschulen im Spannungsfeld divergierender Erwartungen und Ansprüche – eine neo-institutionalistische Perspektive
Authors: Scholian Andrea
Published: February 2025

Sozialpädagogisch Handelnde in der ausserunterrichtlichen Betreuung in Tagesschulen haben oft keine klaren sozialpädagogisch definierte Ziele. Gleichzeitig sind die Fachpersonen mit verschiedenen Erwartungen der Kinder, Eltern sowie Lehrpersonen konfrontiert und haben eigene Ansprüche an ihre Tätigkeit. In diesem Buch wird untersucht, welche Orientierungen das Handeln von sozialpädagogischen Fachpersonen an Tagesschulen leiten. Es wurden drei Typen eruiert, die Qualität in ihrer Tätigkeit unterschiedlich hervorbringen und sich in ihrer Positionierung zur Schule unterscheiden.
Evidenzbasierte Pflegepraxis im Krankenhaus
Authors: Kuske-Neumann Naomi , Becker Tobias , Weiland Rebecca , Peter Frederike , Giesing Laura , Scharla Andrea , Lenz Reinhard , Heitmann Dieter
Published: February 2025

Durch die zunehmende Alterung der Gesellschaft weisen Patient_innen neben akuten Erkrankungen häufiger Ko- und Multimorbiditäten auf, die die Komplexität der pflegerischen Versorgung insbesondere im Krankenhaus erhöhen und damit zu Herausforderungen im Behandlungsverlauf führen können. Die wissenschaftliche Fundierung der Patient_innenversorgung durch die Umsetzung einer evidenzbasierten Pflegepraxis (EBP) kann eine Möglichkeit darstellen, diesen Herausforderungen zu begegnen. In einigen Ländern ist dieses Konzept schon etabliert und vereinzelt wissenschaftlich evaluiert. Derzeit fehlt es an einer Literaturübersicht zu fördernden und hemmenden Faktoren der Implementierung und Dissemination von EBP. Dies kann dazu beitragen, die Umsetzung einer EBP in Deutschland, die bisher hinter dem internationalen Stand zurückbleibt, voranzutreiben.
Erweiterte Heilkundekompetenz von Pflegefachpersonen im Kontext des Pflegestudiumstärkungsgesetz und Pflegekompetenzgesetz – Chancen und Herausforderungen
Authors: Özlü Ismail
Published: February 2025

Dieser Artikel befasst sich mit der erweiterten Heilkundekompetenz von Pflegefachpersonen im Lichte des Pflegestudiumstärkungsgesetzes und des Pflegekompetenzgesetzes. Vor dem Hintergrund der rechtlichen Rahmenbedingungen werden ebenfalls holzschnittartig die Konsequenzen und Auswirkungen auf die pflegerische Versorgungspraxis skizziert. Dabei werden sowohl die Chancen als auch die Herausforderungen für die professionelle Pflege wie auch für die Pflegepädagogik beleuchtet.
Fortifying the Supply Chain: An Automated Approach to Risk Management and Cybersecurity
Authors: Mavi Aakarsh
Published: February 2025

The growing complexity of supply chain networks has led to new cybersecurity challenges, making real-time monitoring, reporting, and continuous improvement essential for securing digital operations. Traditional security automation frameworks typically emphasize enforcing security policies and fixing vulnerabilities but often lack effective methods for continuous monitoring, compliance reporting, and adaptable improvement. This paper enhances the SecAuto Toolkit [5] by adding three new layers—Monitoring, Reporting, and Continuous Improvement—to the security automation framework. These layers guarantee that security events are continually monitored, compliance standards are adhered to, and security measures adapt to new threats. The improved framework utilizes Ansible automation combined with SIEM tools, compliance dashboards and machine learning for proactive threat management. Tailored for a supply chain organization, this model boosts security resilience by offering real-time insights, automating compliance audits, and continuously refining security workflows.
Experimental Intriguing for Maximization of Useful Life of Spur Gears from Stress Analysis under Multiple Combinations of Pressure Angle
Authors: Prithwiraj Jana
Published: February 2025

The various kinds of mechanical transmissions are applied by gears, used in automobile and other industry extensively. Todays, modern world is more competitive day by day. During the product marketing, the service life prediction is one of the important key issue. However, traditional experimental studies focused to predicting contact fatigue life by revealing the stress analysis. This experiment one of the major concerns in the field of various machine modelling, which is to predict the service life of spur gear, used in automobile. This experiment addresses the phenomenon of characterizing the stress analysis of the ground spur gear and to calculate the service life where each of them has different pressure angle and hence, the spur gear with maximum fatigue life is selected.
Spirit of PPL and Practicum in Increasing Students' Interest in Learning at MAS Darul Ikhlas
Authors: Ritonga Syaipuddin , Sir Abdul Hanif , Nopida Suci , Nur Mawarni , Hasibuan Desi Fitriani , Siregar Windah Nur , Tambak Nur Asyifa
Published: February 2025

The spirit of PPL and Practicum for STAIN MADIN students was very enthusiastic when doing an internship at MAS Darul Ikhlas Dalan Lidang. This PPL was attended by students from across study programs such as PBA, MPI, and PAI. In this PPL, STAIN MADINA students carry out various activity programs to increase students' interest in learning by using learning media, carrying out various activities, and involving students in various activities and events held at STAIN MADINA. Also in the field of Educational Management, carrying out office layout and learning to improve students' interests.
The Influence of Islamic Financial Literacy on the Decision to Use Islamic Financial Institutions (Panyabungan III Village Community, Mandailing Natal Regency)
Authors: Lubis Riadoh
Published: February 2025

This research was conducted in Kel. Panyabungan III District. Mandailing Christmas. The aim of this research is to analyze the influence of sharia financial literacy on the decision to use sharia financial institutions in the Kel.Panyabungan III community. To achieve this goal, research was carried out using community samples from Kel.Panyabungan III, totaling 98 people using the purposive sampling method, while data analysis in this research was validity and reliability testing, classical assumption testing, simple linear regression testing and hypothesis testing, namely t test and R square test (with the help of the SPSS Version 21 program). Based on the research results, sharia financial literacy has a positive and significant effect on the decision to use sharia financial institutions with a value of tcount < ttable or tcount > ttable (13.518 < ttable 1.664 or 13.518 > ttable 1.664). The recommendation that researchers can use is to further improve sharia financial literacy by conducting outreach about sharia financial literacy so that it becomes better in the future.
Application of Ice Breaking and Interactive Quizziz to Improve Student Learning Quality: Community Service Program at IPIEMS Surabaya Junior High School
Authors: Fauziyah Farichatul , Alfani Mukhammad
Published: February 2025

This article discusses the application of ice-breaking techniques and the interactive learning platform Quizizz to improve the quality of student learning at IPIEMS Junior High School Surabaya, Indonesia. In the digital era, innovative teaching methods are crucial, as traditional methods often do not meet the needs of diverse students. Ice-breaking activities are proven to increase student motivation and engagement, while Quizizz offers an interactive and fun learning experience, which encourages a deeper understanding of the material. This study aims to evaluate the impact of these methods on motivation, comprehension, and overall learning quality, with a blended approach involving surveys and interviews. The results showed a significant increase in student motivation and engagement after the implementation of these techniques. In addition, the ice-breaking activity created a more relaxed classroom atmosphere, encouraging active participation and reducing boredom, while Quizizz provided immediate feedback that supported critical thinking and a deeper understanding of the material taught. Overall, both methods proved effective in making the learning process more dynamic and interactive, ultimately contributing to improving the quality of education in the digital age.
Efforts to Develop Generation Z Character Education in the Digital Age
Authors: Wahab Wahab , Irpan Muhammad
Published: February 2025

This study aims to examine efforts to develop character education for Generation Z in the digital era, marked by rapid technological advancement. Generation Z, born and raised in a digital environment, exhibits characteristics and behavior patterns different from previous generations and is vulnerable to various challenges, such as negative content, cyberbullying, and individualism. Character education is essential in building strong ethics, morality, and personality amidst the dynamics of the digital era. This research employs a literature review method, analyzing various literature on character education in the digital age, particularly focusing on the needs of Generation Z. The study's findings indicate that effective character education for Generation Z must be adapted to technological developments and their unique characteristics. The implementation of digital-based character education strategies involving families, schools, and communities synergistically is a preventive measure to prepare Generation Z to face the challenges of the digital era with a strong and principled character.
Health and Counseling Service of Reproductive Health “I am Empowered Over my Body”
Authors: Suhaid Dewi Novitasari , Aningsih Baharika Suci Dwi , Dini Kusuma , Kadarsih Mitra , Purbo Yoshepine Beni
Published: February 2025

Reproductive health is a crucial aspect of improving the quality of life, especially for women of reproductive age. However, knowledge about reproductive health, including early detection of breast and cervical cancer, remains low in many communities. Limited access to reproductive health services, particularly in remote and economically disadvantaged areas, exacerbates this issue. This community service program aimed to enhance public awareness and provide direct health services through the Reproductive Health Service and Counseling under the theme "I Am Empowered Over My Body." This initiative included essential health screenings such as blood pressure measurement, BMI calculation, cholesterol, uric acid, and glucose level tests, along with reproductive health counseling and early detection services for breast and cervical cancer through SADARI (Breast Self-Examination) and IVA (Visual Inspection with Acetic Acid) tests. The program was conducted on September 29, 2024, at STIK Sint Carolus Graduate Building, Jakarta, in collaboration with Ipas Indonesia, Jakarta Feminist, and Doctors Without Stigma. A total of 81 participants attended, with 38 undergoing basic health screenings, 9 receiving reproductive health counseling, and 34 participating in SADARI and IVA test. The results showed that 97.05% of IVA screening participants had normal results, while 2.74% tested positive and were referred for further examination. Awareness of breast cancer detection through SADARI was significantly improved, and all participants could repeat the procedure independently. Additionally, among participants in basic health screenings, 11.53% were identified with mild hypertension, 40.54% had high uric acid levels, and 77.78% had glucose levels exceeding the normal range, indicating a need for continuous health monitoring and intervention. This program successfully enhanced participants’ knowledge of reproductive health and increased access to essential screening services. Future initiatives should focus on sustaining these efforts through continuous education, destigmatization of reproductive health examinations, and strengthening community-based healthcare support.
Respiratory syncytial virus (RSV): prevention and antiviral therapeutic strategies
Authors: Parveen Shahnaz , Salam Shaikh
Published: February 2025

Respiratory syncytial virus (RSV) is a leading cause of acute respiratory infections, particularly among young children and older adults. It specifically targets ciliated epithelial cells, setting off a cascade that includes the release of pro-inflammatory cytokines and the activation of an innate antiviral defense by alveolar macrophages and dendritic cells. Antivirals for the RSV function by preventing the virus from replicating. By interacting with guanosine triphosphate, the nucleoside analog ribavirin prevents the synthesis of viral RNA and causes fatal mutagenesis. Palivizumab, a monoclonal antibody, neutralizes RSV by binding to its F protein, thereby obstructing the virus’s ability to fuse with and penetrate host cells. Another monoclonal antibody that neutralizes RSV and prevents cell infection is nisevimab, which offers prolonged protection. Fusing inhibitors, such as the investigative drug presatovir, disrupt the fusing of viral membranes, thereby preventing the virus from entering host cells. Our increasing knowledge of RSV pathophysiology and immunopathology over the past few decades has led to significant advancements in prevention strategies. Although RSV exerts a profound impact on public health, the available clinical interventions are limited to only two approved drugs: ribavirin and palivizumab. It is important to note that palivizumab is used solely as a preventive measure rather than as a treatment option. Currently, numerous research groups are exploring new treatments for RSV, focusing on three main research areas: small molecules, polymeric drugs (proteins and peptides), and plant-derived compounds. Emphasizing the development of therapies designed to disrupt key stages in the virus’s life cycle, this article examines the advancements and difficulties in this field. We also give an update on the available treatments for acute RSV disease (both non-specific and RSV-specific), as well as other prevention-oriented strategies.
The Integration of Artificial Intelligence in Human Resource Management in the U.S. Retail Sector
Authors: Rezvi Rezwanul Islam , Rahman Kazi Obaidur , Nasrullah Farhan , Islam Md Samirul , Hasan Mehedi , Nusrat Nayeema , Jishan Shamina Sharmin , Shoaib Ahmed
Published: February 2025

This paper addresses the challenge of integrating Artificial Intelligence (AI) into human resource management (HRM) for the retail sector with the view of addressing challenges of high employee turnover, skill development as well as performance monitoring. Methodology: Existing literature was subjected to a thematic analysis to identify key themes and insights about AI’s role in recruitment, employee motivation, and performance evaluation. Key Findings: AI paces up recruitment speed, personalizes training through adaptive learning and performs performance tracking in real-time. But there are ethical problems, such as algorithmic bias and transparency. Implications: AI brings transformative tools for retail HR management processes and employee engagement. The key to inclusivity and trust is balanced implementation and ethical oversight. Future Directions: Future research needs to address long term workforce impacts and frameworks for the ethical challenges in retail HRM.
Effectiveness of ICIC Listening Teaching Model under the Theory of Intertextuality
Authors: Zeng Lizi
Published: February 2025

English listening comprehension has been a difficulty in the process of language learning for foreign language learners, particularly for those who have few opportunities to expose themselves to the English environment. How to cultivate students’ competence in listening is an urgent task to meet the challenge of global and  interdisciplinary education. The study conducted an experimental research based on intertextuality theory for the classroom students who were enrolled in college English course. The results showed that the proper English course curriculum design is very important to teachers and students. The proficiency degree varied from one step to the sequential one, but the two are always embedded with each other. Immersion efforts embraced all kind of activities which could stimulate students’ enthusiasm for English listening. An obvious finding from the research was the students’ potential cognition, which penetrated the whole course of language learning and transformation to act as an ICIC strategy model. The findings almost manifested the hypotheses and answered the questions and verified the effectiveness of ICIC model in enhancing students’ listening proficiency.
Investigating the Effect of a Flipped Grammar Classroom Model On Moroccan EFL Secondary School Students: Students’ Grammar Performance, Perceptions and Student-Related Challenges 2024
Authors: Eladraoui Mourad , SAKALE Sana
Published: February 2025

This study investigates the effect of a flipped classroom model on EFL secondary school students’ performance in grammar. The study also sought to measure students’ perceptions of this flipped classroom and student-related challenges faced in this new learning environment. For the purpose of the study, a pretest-posttest quasi-experimental design was carried out. The experiment lasted for three weeks in which two intact classes (grade 12) from Al Mansour Dahbi upper secondary school in Sidi Kacem were selected for the study. The first class was assigned to the experimental group (n=34) while the second class was assigned to the control group (n=34). The experimental group students were taught through the flipped classroom model and the control group students were taught using the traditional classroom model.  A pre-post grammar test was administered to measure students’ performance in the four grammar topics which were selected from the student textbook “Gateway 2 To English”. After the experiment, a 5-point Likert scale questionnaire was used to investigate the experimental group students’ perceptions of the flipped classroom videos and, the in-class activities, and student-related challenges. The findings of the pre-post grammar test indicated that experimental group students significantly outperformed the control group students. Regarding experimental group students’ perceptions and the challenges they faced in the flipped classroom, it was found that most students developed a strong positive attitude towards the flipped approach.