bluuebunny/crossref_metadata_2025 huggingface dataset:
ECONOMICS AND ADVANCED CALCULATION METHODS OF FINANCIAL ENGINEERING
Authors: SADIGOVA SARA ASIF , GULIYEVA AYGUN ELMAN , GULIYEVA GUDRATXANUM ELMAN , GURBANLI JAMAL JEYHUN , ISMAYILZADE NATIGA NAGIG
Published: May 2023

Topicality. The article defines the place and implementation of the tasks of financial engineering. In recent years, against the background of the active use of trade and financial instruments, the complexity of monetary relations between enterprises and financial institutions and the wide spread of computer technologies increase the relevance of the topic.Aim and tasks. The main purpose of the article is to determine the possibility of misuse of financial instruments reflecting the system of risk management, which is an element of financial engineering, which is considered as a means of achieving the competitiveness and strategic advantage of organizations.Research results. In the modern world, the processes of making managerial decisions are becoming more and more complex, while it is necessary to take into account an increasing number of factors that affect the financial results of an enterprise. Decision-makers are required to use mathematical skills in the design of financial transactions, knowledge of the basics of computer modeling. Today, not a single major financial institution in the world, including central banks, can work without computer mathematical models of modern financial science. From this point of view, a new direction in the training of specialists is relevant - financial engineering.Materials and methods. While conducting the research, sources related to financial engineering were examined, articles related to the complexity of monetary relations between enterprises and financial institutions and the wide spread of computer technologies were analyzed. Content analysis, induction, deduction, and comparative analysis methods were used during the research.Conclusion. The conclusion of the study is that the use of innovative financial technologies or the borrowing and use of advanced financial instruments from us requires a qualitatively new arrangement of cooperation, which is not possible under implementing sanctions. The final result is that the use of innovative financial technologies, the organization of the professional association of economists and financiers of the country, the creation and development of self-regulating organizations, the formation of a community of highly qualified specialists and the development of the quality management system of educational services are necessary for the development of machine building in Azerbaijan.
INVESTIGATION OF PEER BULLYING ACCORDING TO SOME VARIABLES: THE CASE OF KARAMAN
Authors: YILMAZ BİNGÖL Tuğba , KOÇAK Hüseyin Atakan , ÇAKICI Ramazan , AVUTMUŞLU Cem , DİKDERE Derya , İNCEKARA ARSLAN Hatice
Published: May 2023

One of the biggest violent behaviors seen in schools is peer bullying. Peer bullying can be called as a type of aggression that results in one or more students deliberately and continuously disturbing students who are weaker than them (Pişkin, 2002). The purpose of this research is to investigate the secondary school 6 in the central district of Karaman province.it is determining the levels of peer bullying of classroom students and determining whether gender differs according to the survival status of their parents, the educational level of the mother and father, income status, who the child lives with and the type of school. This research, in which the screening model was used, Demographic Information Form and Peer Bullying Scale-Adolescent Form were used as data acquisition methods in this research (Ayas, 2015). 1200 students studying in secondary schools in the central district of Karaman province participated in the research. 1008 data collected from these students were taken into consideration. As a result of the research, it was found that being a victim of physical bullying, being a victim of rumor extraction and spreading and damaging their belongings differ according to the dimensions of being a victim of physical bullying, physical and verbal bullying and rumor extraction and spreading dimensions differ from the sub-dimensions according to gender. It was found that there was no difference in both bullying and victim size according to the type of school.   There are significant differences in the dimensions of physical bullying and verbal bullying according to the situation of their parents in life. It has been determined that there are differences in the sub-dimensions of being a victim of exclusion, being a victim of rumor extraction and spreading according to the level of income status of the family. It was found that there was no significant difference according to the level of education of the father. It has been determined that there is a difference in the dimensions of being a victim of physical bullying, being a victim of exclusion, being a victim of spreading rumors and being exposed to damage to their belongings, physical bullying, verbal bullying and exclusion according to the mother's educational level. On the other hand, in the correlation test conducted between the sub-dimensions, strong relationships were found between all variables. Deciency tests were performed to determine the correlation between the sub-dimensions. Deciency tests were performed. This study was conducted to reveal the situation of peer bullying in Karaman province. In future studies, he/she can focus on the causes and peer bullying prevention studies.
OPINIONS OF STUDENTS AND TEACHERS ABOUT THE POSSIBILITY OF SECONDARY SCHOOL TURKISH COURSES IN DISTANCE EDUCATION
Authors: SARICI Cemil , ALTINKAYNAK Mehmet , TÜRKSOY Saliha
Published: May 2023

In this research, it is aimed to contribute to the literature about the distance education process in Turkish lesson teaching by investigating the effects of the distance education process, which continues in line with the special objectives of the Turkish lesson curriculum, on the achievements of the secondary school Turkish lesson level, and whether the students gain the course goals and objectives. The research was studied as a quantitative research based on the opinions of 15 Turkish language teachers working in the official secondary schools of Kartal district of Istanbul and 40 students in the same schools. As a research model, a study was conducted to determine the situation by adhering to a descriptive research model, one of the survey models. According to the data revealed in the research, the survey questions were grouped into two sub-categories for teacher-student evaluations. As a result of the research; It was found that the students did not have difficulty in adapting to the distance Turkish lesson, the use of the Internet was also positive in terms of finding resources, and on the other hand, the teachers evaluated this process positively in terms of applying new methods and new teaching methods and improving themselves. It has been determined that students and teachers do not have difficulty in adapting to the process in the implementation of Turkish lessons with the distance education method, and it has emerged as an alternative to traditional teaching methods in terms of solving the problems that arise in the process and ensuring continuity in education.
DOMESTIC VIOLENCE
Authors: ATEŞOĞLU Sultan
Published: May 2023

Violence is a situation that causes physical or mental harm to a person by applying force and pressure. Domestic violence is the aggressive behavior of one member of the family towards other members of the family. It includes all kinds of attitudes and behaviors that force the person to act against their will (humiliation, threat, battering, forced sexual intercourse or coercion, restriction, forced marriage, etc.). The aim of this study is to examine the issue of domestic violence. The main purpose of the article is to clarify the issue of solutions in the literature by examining the definition, characteristics and effects of domestic violence on individuals. For this reason, studies on domestic violence in Turkey and abroad were examined. This research, which is a review study, can help experts and contribute to the literature. Further work on the subject is recommended.
THE DEVELOPMENT OF LAW IN THE HISTORY OF AZERBAIJAN
Authors: UZAR Oğuzhan
Published: May 2023

The state tradition in the territory of Azerbaijan has existed since ancient times and has gradually developed. The existence of various types of legal monuments since ancient times, some of which have not yet become the object of research, necessitated the emergence of every science that studies both state traditions and legal monuments of Azerbaijan. This branch of science, which is called Azerbaijan state and law history, has been shaped since the middle of the last century and has taken its deserved place among legal sciences in our modern age. The subject of Azerbaijan state history and legal science includes the state, as well as the emergence, development and change of types and forms of state and law in the territory of our country in a certain historical period. The structure, legislation, areas and legal institutions of certain states The organization and development of legal processes are examined in the context of the state and legal history of Azerbaijan, both in time and space. The spatial boundaries of these processes are limited only to the territory of Azerbaijan. State and legal history of Azerbaijan, as the name suggests, exists in both historical and legal sciences.
BIOPOWER AND THE DISABLED INDIVIDUAL: A QUALITATIVE STUDY ON THE CONTROL OF THE DISABLED BODY
Authors: TAŞ Levent
Published: May 2023

Biopolitics is a new form of power through which modern states control and regulate social life. Biopower occurs by defining, controlling, and regulating bodies. This study focuses on biopower, and the disabled body.   The aim of the study is to understand how biopower operates at the societal level through the disabled body. The control of biopower begins with the definition of disability and the disabled individual, based on the distinction between normal and abnormal. In cultural representation, the disabled body and the disabled individual are defined as abnormal. In the social world, these definitions result in dynamics that label, segregate, exclude, and marginalize the disabled body. Through these dynamics, the disabled individual is forced to live in a restricted area without being included in the normal limits of society. The operation of biopower results in the disabled individual living in a certain social status, with a quality of life that is not equal to that of the normal individuals. Biopower's exclusionary mechanisms occur in a social context where the disabled individual is legally and discursively accepted as equal to other individuals and granted various privileges. This study aims to reveal how the disabled body is defined in everyday life and to examine the control mechanisms that keep disabled individuals on the margins of society. Because the study aims to present this situation from the perspective of disabled individuals, a qualitative research method was adopted. Thirteen in-depth interviews were conducted with physically disabled individuals, and the data obtained were analyzed thematically. The study concludes that disability is one of the areas where biopolitics is realized legally and socially and that policies developed for disabled individuals are transformed into control mechanisms in everyday life.
Pengaruh Warna Lampu dan Waktu Penangkapan Pada Alat Tangkap Bagan Tancap di Perairan Teluk Cina Kalimantan Barat
Authors: Setiawan Ho Putra , Rasidi Rasidi , Tumion Frangky , Sudarso Jumadi
Published: May 2023

Kalimantan Barat memiliki potensi lestari sumberdaya perikanan ± 485.000 ton per tahun. Potensi sumberdaya ikan tersebut yang belum dimanfaatkan sebesar 87,32 % atau sebesar 423.498 ton. Tujuan dari penelitian ini adalah untuk mengetahui seberapa jauh pengaruh perbedaan warna lampu dan waktu penangkapan terhadap hasil tangkapan ikan. Metode yang digunakan dalam penelitian ini adalah metode percoban penangkapan langsung di lapangan dengan menggunakan warna lampu yang berbeda yaitu lampu berwarna hijau, kuning dan merah, yang dioperasikan pada selang waktu setiap tiga jam (18.30-21.30, 22.00-01.00 dan 01.30-04.30). Hasil tangkapan terbanyak dan terbaik dihasilkan oleh lampu berwarna hijau yaitu sebesar 5.3 kg (40.46 %) pada kisaran waktu 18.30 – 21.30 WIB. selanjutnya hasil tangkapan terbanyak dan terbaik dihasilkan oleh lampu berwarna kuning pada kisaran waktu 01.30 – 04.30 WIB yaitu sebanyak 17.4 kg (21.35 %), kemudian hasil tangkapan terbanyak dan terbaik dihasilkan oleh lampu berwarna merah sebesar 6.2 kg (39.49 %) pada kisaran waktu 22.00 – 01.00 WIB. Hasil analisis sidik ragam bagan tancap berdasarkan perlakuan warna cahaya lampu dan waktu penangkapan memperlihatkan bahwa nilai F hitung 3.94 ** < dari nilai F tabel (0.05) ; (4.28) dan (5.68). Hasil tersebut menunjukan bahwa perbedaan penggunaan warna cahaya lampu dan waktu penangkapan pada bagan tancap tidak berpengaruh nyata pada tingkat kepercayaan 0.01 % dan 0.05 %
LEOS JANACEK’İN ULUSALCI KİMLİĞİNİN 3 MORAVYAN DANSI ÜZERİNDE İRDELENMESİ VE I.X.1905 PİYANO SONATI’NDAKİ POST-ROMANTİK ANLAYIŞI
Authors: BİLİR EYÜPOĞLU Emine
Published: May 2023

Bu makalede, Leos Janacek’in halk dansı ve piyano sonatı olmak üzere iki farklı yapıda eserine odaklanılmıştır. Çalışmanın ilk kısmında, Türkçe kaynaklarda bulunmadığından dolayı Çek besteci Leos Janacek’in yaşamı ve müzik stili üzerinde durulmuştur. Devamında dönemin politik baskısı ve yapılan protestoların etkisi ile klasik sonat formunda romantik anlayış içerisinde yazılan I.X.1905 Piyano Sonatı ve bestecinin ulusalcı kimliğini gözler önüne seren halk danslarından üç tanesi formal, armonik, melodik, ritmik, teknik ve müzikal açılardan detaylıca irdelenmiş; piyano yorumcusu açısından kazanımları değerlendirilmiştir.

Konu ile ilgili Türkçe kaynak olmadığından dolayı, makalenin oluşturulmasında yabancı dilde yazılan tezler, kitaplar, makaleler, dergiler ve internet üzerinden yayımlanmış kaynaklardan faydalanılmıştır. Çalışmada nitel araştırma yöntemlerinden literatür tarama, arşiv kayıtları ve içerik analizi yöntemleri kullanılmıştır.

Leos Janacek ve yaşadığı ülke ile ilgili daha detaylı bilgilere ulaşabilmek adına Çekya’yanın Brno kentine gerçekleştirilen gezide, bestecinin müze haline getirilen evi, Leos Janacek Akademi ve Mezar Anıtı ziyaret edilmiştir. Çalışmada yer alan fotoğrafların tamamı bu gezi esnasında oluşturulmuştur.
СЕМАНТИКА СТИХА И ЕЕ ВОСПРИЯТИЕ
Authors: Скулачева Т.В. , Слюсарь Н.А. , Костюк А.Э. , Грановская М.А. , Меритуков А.С. , Савина Б.А.
Published: May 2023

В статье описывается серия экспериментов по восприятию стихотворного текста. В эксперименте с каждым из описанных текстов («В голубой далекой спаленке...» А. Блока, «Я на дне» И. Анненского, «Незнакомка» А. Блока) участвовало по 40 информантов-носителей языка от 18 до 55 лет. Обнаружено, что восприятие стиха существенным образом отличается от восприятия прозы. При восприятии стиха информант не пытается выбрать одну наиболее логичную и обоснованную трактовку, скорее его сознание выхватывает некоторый достаточно произвольный набор образов, который монтируется в некоторую особенную для данного человека картинку. Этот набор образов и, соответственно, получившаяся картинка меняются от информанта к информанту и зависят, по-видимому, от настроения, личных воспоминаний и опыта конкретного человека. Наборы значимых для каждого конкретного информанта образов могут монтироваться у разных людей в достаточно разные картинки, часто противоречащие как версиям других информантов, так и намерениям автора. Тем не менее, такое восприятие, по-видимому, является нормой при образной обработке текста. Эксперимент В. Г. Тимофеева с восприятием картины П. Блюма «Скала», на наш взгляд, показывает, что аналогичный механизм обработки информации наблюдается и при восприятии живописи.
Can Patient Contributed Data (PCD) Leverage Connected Health Technology for Cardiac Rehabilitation in Austria?
Authors: Hussein Rada , Pichon Adrienne , Oldenburg Jan , Sareban Mahdi , Niebauer Josef
Published: May 2023

New technologies such as devices, apps, smartphones, and sensors not only enable people to self-monitor their health but also share their health data with healthcare professionals. Data collection and dissemination occur across a wide variety of environments and settings, tracking everything from biometric data to mood and behavior, which has been termed Patient Contributed Data (PCD). In this work, we created a patient journey, enabled by PCD, to shape a connected health model for Cardiac Rehabilitation (CR) in Austria. Consequently, we highlighted the potential PCD benefit, which is a postulated increasing uptake of CR and improved patient outcomes through apps in a home-based setting. Finally, we addressed the related challenges and policy barriers that hinder the implementation of CR-connected health in Austria and identified actions to be taken.
Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning
Authors: Sriram Kumar P  , Govarthan Praveen Kumar , Ganapathy Nagarajan , Agastinose Ronickom Jac Fredo
Published: May 2023

Electrodermal activity (EDA) reflects sympathetic nervous system activity through sweating-related changes in skin conductance. Decomposition analysis is used to deconvolve the EDA into slow and fast varying tonic and phasic activity, respectively. In this study, we used machine learning models to compare the performance of two EDA decomposition algorithms to detect emotions such as amusing, boring, relaxing, and scary. The EDA data considered in this study were obtained from the publicly available Continuously Annotated Signals of Emotion (CASE) dataset. Initially, we pre-processed and deconvolved the EDA data into tonic and phasic components using decomposition methods such as cvxEDA and BayesianEDA. Further, 12 time-domain features were extracted from the phasic component of EDA data. Finally, we applied machine learning algorithms such as logistic regression (LR) and support vector machine (SVM), to evaluate the performance of the decomposition method. Our results imply that the BayesianEDA decomposition method outperforms the cvxEDA. The mean of the first derivative feature discriminated all the considered emotional pairs with high statistical significance (p<0.05). SVM was able to detect emotions better than the LR classifier. We achieved a 10-fold average classification accuracy, sensitivity, specificity, precision, and f1-score of 88.2%, 76.25%, 92.08%, 76.16%, and 76.15% respectively, using BayesianEDA and SVM classifiers. The proposed framework can be utilized to detect emotional states for the early diagnosis of psychological conditions.
Portal of Medical Data Models: Application in Federated Data Capture
Authors: Ganzinger Matthias , Blumenstock Max , Niklas Christian , Dugas Martin
Published: May 2023

So far, the portal for medical data models allows its users to download medical forms in a standardized format. Importing data models into electronic data capture software involved a manual step of downloading and importing the files. Now, the portal was enhanced with a web services interface to allow electronic data capture systems to automatically download the forms. This mechanism can be used in federated studies to ensure that all partners are working with identical definitions of study forms.
Monitoring Distributed Business Processes in Biomedical Research
Authors: Zilske Christoph , Kurscheidt Maximilian , Schweizer Simon T. , Hund Hauke , Mödinger Simon , Fegeler Christian
Published: May 2023

In biomedical research, business processes, such as data-sharing or feasibility queries, span across several healthcare organizations. Due to the growing number of data-sharing projects and connected organizations, the management of distributed processes gets more complex over time. This leads to an increased need for administrating, orchestrating, and monitoring all distributed processes of a single organization. A proof of concept for a decentralized and use case agnostic monitoring dashboard was developed for the Data Sharing Framework, which most German university hospitals have deployed. The implemented dashboard can handle current, changing, and upcoming processes using only information for cross-organizational communication. This differentiates our approach from other existing use case specific content visualizations. The presented dashboard is a promising solution to provide administrators with an overview of the status of their distributed process instances. Therefore, this concept will be further developed in upcoming releases.
What Are We Talking About When We Talk About Information-Driven Care? A Delphi-Study on a Definition
Authors: Siira Elin , Svedberg Petra , Savage Carl , Nygren Jens
Published: May 2023

In Sweden, the term information-driven care has recently been put forward by healthcare organizations and researchers as a means for taking a comprehensive approach to the introduction of Artificial Intelligence (AI) in healthcare. The aim of this study is to systematically generate a consensus definition of the term information-driven care. To this end, we are conducting a Delphi study utilizing literature and experts’ opinions. The definition is needed to enable knowledge exchange on information-driven care and operationalize its introduction into healthcare practice.
Harvesting the Low Hanging Fruits From the FAIRtree
Authors: Inau Esther Thea , Zeleke Atinkut , Waltemath Dagmar
Published: May 2023

Extensive workflows have been designed to FAIRify data from various domains. These tend to be cumbersome and overwhelming. This work summarises our own experiences with FAIRification in health data management and provides simple steps that can be implemented to achieve a relatively low but improved level of FAIRness. The steps lead the data steward to register the data in a repository and then annotate it with the metadata recommended by that repository. It further leads the data steward to provide the data in a machine-readable format using an established and accessible language, establish a well-defined framework to describe and structure the (meta)data as well as publish the (meta)data. We hope that following the simple roadmap described in this work helps to demystify the FAIR data principles in the health domain.
Fairness in Artificial Intelligence: Regulatory Sanbox Evaluation of Bias Prevention for ECG Classification
Authors: Ranjbar Arian , Skolt Kristin , Aakenes Vik Kathinka Theodore , Sletvold Øistad Beate , Wermundsen Mork Eilin , Ravn Jesper
Published: May 2023

As the use of artificial intelligence within healthcare is on the rise, an increased attention has been directed towards ethical considerations. Defining fairness in machine learning is a well explored topic with an extensive literature. However, such definitions often rely on the existence of metrics on the input data and well-defined outcome measurements, while regulatory definitions use general terminology. This work aims to study fairness within AI, particularly bringing regulation and theoretical knowledge closer. The study is done via a regulatory sandbox implemented on a healthcare case, specifically ECG classification.
Mobile Application for Improvement of Self-Management of Type 2 Diabetes: Usability Pilot Test
Authors: Pinto Andreia , Viana João , Conceição Glória , Santos Paulo , Santos Cristina , Freitas Alberto
Published: May 2023

We intend to evaluate the usability of a mobile app developed for the self-management of T2DM. A pilot usability cross-sectional study was performed with a convenience sample of 6 smartphone users aged 45 years. Participants performed tasks autonomously in a mobile app to assess if users could complete them and filled out a usability and satisfaction questionnaire. About half of the tasks had a successful completion rate. The result of the usability questionnaire was 64/100, below the acceptable value, but the satisfaction value was considered good. This study was fundamental as it allowed us to verify which improvements should be implemented in the next version of the app, contributing to its better acceptance.
Proposing a Novel Hybrid Short-Term Exchange Program in Biomedical and Health Informatics Education
Authors: Engelsma Thomas , Anders Carolin , Oudbier Susan J. , Eilbeck Karen , Knaup Petra , Peute Linda W. , Ganzinger Matthias
Published: May 2023

International student exchange is a valuable opportunity for Biomedical and Health Informatics students to gain new perspectives and experiences. In the past, such exchanges have been made possible through international partnerships between universities. Unfortunately, numerous obstacles such as housing, financial concerns, and environmental implications related to travel, have made it difficult to continue international exchange. Experiences with hybrid and online education during covid-19 paved the way for a new approach that allows for short international exchange with a hybrid online-offline supervision model. This will be initiated with an exploration project between two international universities , each related to their respective institute’s research focus.
The Complexity of a Clinical History
Authors: D’Uffizi Antonio , Pecoraro Fabrizio , Ricci Fabrizio L. , Stecca Giuseppe , Consorti Fabrizio
Published: May 2023

The paper describes a new metrics for measuring the structural complexity of clinical history (modelled by a HINe model) in order to compare different clinical histories and then assign it to the right types of learners.
Guideline-Based Algorithmic Recommendations Versus Multidisciplinary Team Advice for Gynecologic Oncology
Authors: Ebben Kees , van Houdt Marleen , de Kroon Cor , van der Werf Jurrian
Published: May 2023

Evidence-based clinical decision making in oncology is challenging. Multi-disciplinary team (MDTs) meetings are organized to consider different diagnostic and treatment options. MDT advice are often based on clinical practice guideline recommendations which can be extensive and ambiguous, making it difficult to implement in clinical practice. To address this issue, guideline-based algorithms have been developed. These are applicable in clinical practice and enable accurate guideline adherence evaluation. This ongoing study aims to determine the optimal decision-making approach for different subpopulations of patients with high-incidence gynecological cancers.
Temporal Context Matters: An Explainable Model for Medical Resource Utilization in Chronic Kidney Disease
Authors: Hamed Omar , Soliman Amira , Etminani Kobra
Published: May 2023

The prediction of medical resource utilization is beneficial for effective healthcare resource planning and allocation. Previous work in resource utilization prediction can be categorized into two main classes, count-based and trajectory-based. Both of these classes have some challenges, in this work we propose a hybrid approach to overcome these challenges. Our initial results promote the value of temporal context in resource utilization prediction and highlight the importance of model explainability in understanding the main important variables.
Eye-Tracking on Touch Screen – Evaluating User Interaction
Authors: Nielsen Camilla Panduro , Nielsen Jacob , Sørensen Chris Bang , Pedersen Ellen Raben
Published: May 2023

This paper suggests a setup for using remote eye-tracking on a touchscreen tablet to evaluate user interaction for older adults interacting with a user-driven hearing test. By using video recordings to support the eye-tracking data, it was possible to evaluate quantitative usability metrics that could be compared to other research findings. The video recordings revealed useful information to distinguish between reasons for gaps in data and missing data and to inform future similar studies of human-computer interaction on a touch screen. Using only portable equipment allows researchers to move to the location of the user and investigate the user interaction of devices in real-world scenarios.
Using Real-Time Interaction Analysis to Explore Human-Robot Interaction
Authors: Kang Jiye , Kim Su Jin , Moon Su Hyun , Kim Su Min , Seo Yujin , Cha Won Chul , Son Meong Hi
Published: May 2023

Despite the increasing presence of social robots (SRs) in Human-Robot Interaction, there are few studies that quantify these interactions and explore children’s attitudes by analyzing real-time data as they communicate with SRs. Therefore, we attempted to explore the interaction between pediatric patients and SRs by analyzing the interaction log collected from real-time. This study is a retrospective analysis of data collected in a prospective study conducted on 10 pediatric cancer patients at tertiary hospitals in Korea. Using the Wizard of Oz method, we collected the interaction log during the interaction between pediatric cancer patients and the robot. Out of the collected data, 955 sentences from the robot and 332 sentences from the children were available for analysis, except for the logs that were missing due to environmental errors. we analyzed the delay time from saving the interaction log and the sentence similarity of the interaction log. The interaction log delay time between robot and child was 5.01 seconds. And the child’s delay time averaged 7.2 seconds, which was longer than the robot’s delay time of 4.29 seconds. Additionally, as a result of analyzing the sentence similarity of the interaction log, the robot (97.2%) was higher than the children (46.2%). The results of the sentiment analysis of the patient’s attitude toward the robot were 73% neutral, 13.59% positive, and 12.42% negative. The observational evaluations of pediatric psychological experts identified curiosity (n=7, 70.0%), activity (n=5, 50.0%), passivity (n=5, 50.0%), sympathy (n=7, 70.0%), concentration (n=6, 60.0%), high interest (n=5, 50.0%), positive attitude (n=9, 90.0%), and low interaction initiative (n=6, 60.0%). This study made it possible to explore the feasibility of interaction with SRs and to confirm differences in attitudes toward robots according to child characteristics. To increase the feasibility of human-robot interaction, measures such as improving the completeness of log records by enhancing the network environment are required.
Physician-Reported Experience and Usability of the MyPal Platform: A Palliative Care Digital Health Intervention
Authors: Bonotis Panos , Natsiavas Pantelis
Published: May 2023

There is a lack of research focusing on the physician-end, their experiences, and their perception of usability with an eHealth intervention. The aim of this study was to evaluate physician satisfaction, and perception of usability following the use of the MyPal platform, a digital health intervention to foster palliative care for hematological cancer patients. Participants were healthcare professionals active in the project’s multinational randomized clinical trial evaluating the impact of the MyPal platform. A post-study electronic questionnaire was administered comprised of; 2 standardized questionnaires (PSSUQ, UEQ) and a feature satisfaction questionnaire, and an open ended question. All questionnaire scores were relatively high and the platform was more than marginally accepted by all participants.
Machine Learning for Medical Data Integration
Authors: Müller Armin , Christmann Lara-Sophie , Kohler Severin , Eils Roland , Prasser Fabian
Published: May 2023

Making health data available for secondary use enables innovative data-driven medical research. Since modern machine learning (ML) methods and precision medicine require extensive amounts of data covering most of the standard and edge cases, it is essential to initially acquire large datasets. This can typically only be achieved by integrating different datasets from various sources and sharing data across sites. To obtain a unified dataset from heterogeneous sources, standard representations and Common Data Models (CDM) are needed. The process of mapping data into these standardized representations is usually very tedious and requires many manual configuration and refinement steps. A potential way to reduce these efforts is to use ML methods not only for data analysis, but also for the integration of health data on the syntactic, structural, and semantic level. However, research on ML-based medical data integration is still in its infancy. In this article, we describe the current state of the literature and present selected methods that appear to have a particularly high potential to improve medical data integration. Moreover, we discuss open issues and possible future research directions.
Concept for a Basic ISO 14721 Archive Information Package for Clinical Studies
Authors: Löbe Matthias , Kuntz Alessandra , Henke Christian , Meinke Frank , Sax Ulrich , Winter Alfred
Published: May 2023

Secondary use of medical data for research is desirable for intrinsic, ethical and financial reasons. In this context, the question becomes relevant as to how such datasets are to be made accessible to a larger target group in the long term. Typically, datasets are not extracted ad hoc from the primary systems, because they are processed qualitatively (FAIR data). Special data repositories are currently being built for this purpose. This paper examines the requirements for the reuse of clinical trial data in a data repository utilizing the Open Archiving Information System (OAIS) reference model. In particular, a concept for an Archive Information Package (AIP) is developed with the central focus on a cost-effective trade-off between the effort of creation for the data producer and the comprehensibility of the data for the data consumer.
Representing Sex and Gender Information in Biomedical Research
Authors: Waltemath Dagmar , Beelich Hilke , Töpfer Philipp , Bergelt Corinna , Flöel Agnes , Katsari Elpiniki , Krüger Elke , Lutze Stine , Schöner Michael , Paschen Sebastian , Roloff Moritz , Roth Hanne , Stracke Sylvia
Published: May 2023

In medicine and biomedical research, sex- and gender-related aspects are ubiquitous. If not considered adequately, a lower quality of research data can be expected together with a lower generalizability of study results with real-world settings. From a translational perspective, a lack of sex- and gender-sensitivity in acquired data can have negative implications for diagnosis, treatment (outcome and side effects), and risk prediction. To establish improved recognition and reward settings we set out to develop a pilot of systemic sex and gender awareness in a German medical faculty, with actions such as implementing equality in routine clinical practice and research, as well as in scientific practice (incl. science education). We believe that the change of culture will have a positive effect on research outcomes, lead to a rethinking in the scientific domain, foster sex- and gender-related clinical studies, and influence the design of good scientific practices.
Communicating in Emergency Settings: BabelDr or Telephone Interpreting?
Authors: De Graaf Céline , Bouillon Pierrette , Spechbach Hervé
Published: May 2023

In this paper, we present a study comparing two mediums that can be used to communicate with allophone patients: a speech-enabled phraselator (BabelDr) and telephone interpreting. To identify the satisfaction provided by these mediums and their pros and cons, we conducted a crossover experiment where doctors and standardized patients completed anamneses and filled in surveys. Our findings suggest that telephone interpreting offers better overall satisfaction, but both mediums presented advantages. Consequently, we argue BabelDr and telephone interpreting can be complementary.
In-Hospital Cancer Mortality Prediction by Multimodal Learning of Non-English Clinical Texts
Authors: Oyama Shintaro , Furukawa Taiki , Misawa Shotaro , Kano Ryuji , Yarimizu Hirokazu , Taniguchi Tomoki , Onoda Kohei , Sato Kikue , Shiratori Yoshimune
Published: May 2023

Predicting important outcomes in patients with complex medical conditions using multimodal electronic medical records remains challenge. We trained a machine learning model to predict the inpatient prognosis of cancer patients using EMR data with Japanese clinical text records, which has been considered difficult due to its high context. We confirmed high accuracy of the mortality prediction model using clinical text in addition to other clinical data, suggesting applicability of this method to cancer.
Translating Medical Dialogues into Pictographs: An Approach Using UMLS
Authors: Gerlach Johanna , Bouillon Pierrette , Norré Magali , Spechbach Hervé
Published: May 2023

This paper describes a first attempt to map UMLS concepts to pictographs as a resource for translation systems for the medical domain. An evaluation of pictographs from two freely available sets shows that for many concepts no pictograph could be found and that word-based lookup is inadequate for this task.
Clustering Similar Diagnosis Terms
Authors: Schulz Stefan , Abdulnazar Akhila , Kreuzthaler Markus
Published: May 2023

A large clinical diagnosis list is explored with the goal to cluster syntactic variants. A string similarity heuristic is compared with a deep learning-based approach. Levenshtein distance (LD) applied to common words only (not tolerating deviations in acronyms and tokens with numerals), together with pair-wise substring expansions raised F1 to 13% above baseline (plain LD), with a maximum F1 of 0.71. In contrast, the model-based approach trained on a German medical language model did not perform better than the baseline, not exceeding an F1 value of 0.42.
Standardization Proposal for the Transmission of Waiting List Data in Italy
Authors: Murgia Ylenia , Bonetto Monica , Gazzarata Roberta , Brogonzoli Luisa , Iardino Rosaria , Venturi Alessandro , Giacomini Mauro
Published: May 2023

Each Italian region is required to manage and disclose data relating to waiting times for healthcare services which are provided by both public and private hospitals and local health units accredited to the Sistema Sanitario Nazionale (SSN – in English, National Healthcare System). The current law governing data relating to waiting times and their sharing is the Piano Nazionale di Governo delle Liste di Attesa (PNGLA – in English National Government Plan for Waiting Lists). However, this plan does not propose a standard to monitor such data, but only provides a few guidelines that the Italian regions are required to follow. The lack of a specific technical standard for managing sharing of waiting list data and the lack of precise and binding information in the PNGLA make the management and transmission of such data problematic, reducing the interoperability necessary to have an effective and efficient monitoring of the phenomenon. The proposal for a new standard for the transmission of waiting list data derives from these shortcomings. This proposed standard promotes greater interoperability, is easy to create with an implementation guide, and has sufficient degrees of freedom to assist the document author.
Self, at Home, and Digital if Possible, Drivers to Population Health Management
Authors: Cillessen Felix , Hofdijk Jacob
Published: May 2023

The Dutch healthcare system is known for its strong emphasis on primary care and a decentralized approach to healthcare delivery. This system will have to adapt in view of the ever-increasing demand and overburdened caregivers, because otherwise it will eventually be insufficient to offer patients adequate care at sustainable costs. The focus must shift from the volume and profitability of all parties involved to a collaborative model for achieving the best outcomes for patients. Rivierenland Hospital in Tiel is preparing for a shift from treating sick patients to promoting the general health and well-being of the population in the region. This “population health” approach aims to maintain the health of all citizens. This transformation to a value-based healthcare system, centered on the needs of patients, requires a complete overhaul of the current systems and its entrenched interests and practices. The regional healthcare transformation requires a digital transformation characterized by several IT implications, such as facilitating patient’s access EHR data and sharing information at patient journey level to support the partners involved in the regional care and cure for patients. The hospital is planning to categorize its patients in order to establish an information database. This will help the hospital and its regional partners to identify opportunities for regional comprehensive care solutions as part of their transition plan.
The Assessment of Glioblastoma Metabolic Activity via 11C-Methionine PET and Radiomics
Authors: Danilov Gleb , Kalaeva Diana , Vikhrova Nina , Konakova Tatiana , Zagorodnova Anna , Popova Angelina , Postnov Andrey , Shugay Svetlana , Shifrin Michael , Pronin Igor
Published: May 2023

Nowadays, the quantitative analysis of PET/CT data in patients with glioblastoma is not strictly standardized in the clinic and does not exclude the human factor. This study aimed to evaluate the relationship between the radiomic features of glioblastoma 11C-methionine PET images and the tumor-to-normal brain (T/N) ratio determined by radiologists in clinical routine. PET/CT data were obtained for 40 patients (mean age 55 ± 12 years; 77.5% men) with a histologically confirmed diagnosis of glioblastoma. Radiomic features were calculated for the whole brain and tumor-containing regions of interest using the RIA package for R. We redesigned the original RIA functions for GLCM and GLRLM calculation to reduce computation time significantly. Machine learning over radiomic features was applied to predict T/N with the best median correlation between the true and predicted values of 0.73 (p = 0.01). The present study showed a reproducible linear relationship between 11C-methionine PET radiomic features and a T/N indicator routinely assessed in brain tumors. Radiomics enabled utilizing texture properties of PET/CT neuroimaging that may reflect the biological activity of glioblastoma and can potentially augment the radiological assessment.
Patient Perspectives on Long-Term Use of a Pulmonary Telerehabilitation Platform: A Qualitative Analysis
Authors: Gabriel Aileen S. , Parvanova Irena , Finkelstein Joseph
Published: May 2023

To effectively develop patient-centered interfaces and functionality, it is essential to investigate different viewpoints on pulmonary telerehabilitation. The purpose of this study is to explore the views and experiences of COPD patients after the completion of a 12-month home-based pulmonary telerehabilitation program. Semi-structured qualitative interviews were conducted with 15 COPD patients. The interviews were analyzed using a thematic analysis approach to deductively identify patterns and themes. Patients responded with approval for the telerehabilitation system, particularly for its convenience and ease of use. This study offers a thorough investigation of patient viewpoints when utilizing the telerehabilitation technology. These insightful observations will be considered for future development and implementation of a patient-centered COPD telerehabilitation system to provide support tailored to patient needs, preferences, and expectations.
Patients’ Introduction to Online Video Consultations in Primary Healthcare
Authors: Muli Irene , Taloyan Marina , Hagstedt Lovisa Jäderlund , Hägglund Maria
Published: May 2023

This study aimed to illustrate ways primary healthcare patients were introduced to video consultations via the public online care application Alltid öppet in Region Stockholm, Sweden. The majority of patients were introduced to this by their providers or other healthcare professionals.
Interest in and Experience with the Use of Patient Portals Among Adolescents in Mental Health Care
Authors: Nielsen Martine Stecher , Steinsbekk Aslak , Nøst Torunn Hatlen
Published: May 2023

Patient portals hold the potential to support patients and enhance treatment, yet some concerns exist for adults in mental health care and adolescents in general. Due to limited studies on patient portal use in adolescent mental health care, the aim was to examine the interest in and experiences with the use of patient portals among adolescents in mental health care. In a cross-sectional survey, adolescent patients in specialist mental health care across Norway were invited between April and September 2022. The questionnaire included questions on their interests in and experiences with using patient portals. Fifty-three (8,5%), adolescents between 12-18 (mean: 15) responded, of which 64 % were interested in using patient portals. Almost half of the respondents would share access to their patient portal with healthcare providers (48 %) and designated family members (43 %). One-third had used a patient portal, where 28 % had used it to change an appointment, 24 % to see their medications and 22 % to communicate with healthcare providers. The knowledge from this study can be used to inform the set-up of patient portal services for adolescents in mental health care.
RELIGIUSITAS, MARGIN LEVEL, DAN KUALITAS LAYANAN TERHADAP KEPUTUSAN NASABAH MELAKUKAN TAKE OVER PEMBIAYAAN
Authors: Malkan Malkan , Jalil Abdul
Published: May 2023

The customer's decision to take over is based on the intention of facilitating pre-existing financing, by adding installments or looking for a lower interest rate. Research to determine and analyze the influence of religiosity, margin level, and quality of service on customer decisions to take over financing. The study sample was 108 people and used purposive sampling. Using multiple linear regression analysis. Research shows that simultaneously the variables of religiosity, margin level, and service quality have a significant effect on customers' decisions to take over financing at Islamic Banks with an adjusted R Square value of 0.507 equal to 50.7%. The remaining variables that were not included in model (e) amounted to 49.3%. Partially, religiosity and margin level have a significant effect on customer decisions, and service quality does not affect customer decisions.
Using Artificial Neural Networks to Recognize the Determinants of Energy Consumption in Saudi Arabia
Authors: Alsobhi Abdulrahman M.
Published: May 2023

This study aims to investigate the variables affecting Saudi Arabia's energy consumption. To do this, the study used an innovative technique called an artificial neural network (ANN) between 2010 and 2020. The findings of this study indicate that global energy prices, followed by industrialization and trade openness, are the most significant factors influencing Saudi Arabia's energy consumption. Saudi Arabia's energy consumption is not influenced by other variables, such as population growth, inflation, urbanization, economic growth, which have been addressed in other works.
Energy use and End-use Technologies: Organizational and Energy Analysis in Italian Hospitals
Authors: Marino Alfonso , Pariso Paolo , Picariello Michele
Published: May 2023

The paper aims to evaluate the possible sustainable management of energy, within the 1062 Italian hospitals. The hospital is the only public building that operates continuously throughout the year. It is a 24-hour facility. Although the theme has been treated in the literature, there is no empirical evidence concerning the same country of the European Union to the number of structures analyzed and energy consumption. Furthermore, Italy is a country heavily dependent on sources of energy supply. The methodological approach has been that of a joint evaluation both of organizational types that is energetic. In the discussion, possible solutions emerge, operational interventions, to make the energy management of hospitals, more efficient. The role of the energy manager and the presence of structures dedicated to energy management emerge as the main bottlenecks for achieving better energy efficiency