bluuebunny/crossref_metadata_2025 huggingface dataset:
Towards an Advanced Digital Infrastructure Within the Non-University Sector Demonstrated by the PICOS App
Authors: Molinnus Denise , Kurth Angelique , Lowitsch Volker , Marx Gernot , Bickenbach Johannes
Published: May 2023

The non-university sector is a central facility for the medical care of patients in Germany. So far, information technology infrastructure in this local health care sector is not developed and the many generated patient data are not further used. In this project, an advanced integrative, digital infrastructure will be established within the regional health care provider. Furthermore, a clinical use case will demonstrate the functionality and added outcome value of cross-sectoral data with a newly developed app to support follow-up care of former intensive care unit patients. The app will give an overview of current health status and generate longitudinal data for use in further clinical research.
odML-Tables as a Metadata Standard in Microneurography
Authors: Troglio Alina , Schlebusch Fabian , Röhrig Rainer , Dunham James , Namer Barbara , Kutafina Ekaterina
Published: May 2023

Metadata standards are well-established for many types of electrophysiological methods but are still lacking for microneurographic recordings of peripheral sensory nerve fibers in humans. Finding a solution for daily work in the laboratory is a complex process. We have designed templates based on odML and odML-tables to structure and capture metadata and provided an extension to the existing GUI to enable database searching.
A Framework for Evaluating Synthetic Electronic Health Records
Authors: Budu Emmanuella , Soliman Amira , Etminani Kobra , Rögnvaldsson Thorsteinn
Published: May 2023

Synthetic data generation can be applied to Electronic Health Records (EHRs) to obtain synthetic versions that do not compromise patients’ privacy. However, the proliferation of synthetic data generation techniques has led to the introduction of a wide variety of methods for evaluating the quality of generated data. This makes the task of evaluating generated data from different models challenging as there is no consensus on the methods used. Hence the need for standard ways of evaluating the generated data. In addition, the available methods do not assess whether dependencies between different variables are maintained in the synthetic data. Furthermore, synthetic time series EHRs (patient encounters) are not well investigated, as the available methods do not consider the temporality of patient encounters. In this work, we present an overview of evaluation methods and propose an evaluation framework to guide the evaluation of synthetic EHRs.
A Platform Promoting Inter-Physician Interaction to Support the Management of Adverse Drug Reactions for CLL Patients
Authors: Bonotis Panos , Natsiavas Pantelis
Published: May 2023

Adverse Drug Reactions (ADRs) cause significant impact for patients’ Quality of Life (QoL) and vastly increase costs, especially regarding chronic diseases. To this end, we propose a platform that aims at supporting the management of patients with Chronic Lymphocytic Leukemia (CLL), via an eHealth platform facilitating inter-physician interaction and the provision of treatment consultation by a specialized ADR management team comprised of CLL experts.
Text Extraction and Standardization System Development for Pathological Records in the Korea Biobank Network
Authors: Ko SooJeong , Park Sunghyeon , Oh SeolWhan , Im YunSeon , Jung Surin , Choi BoYeon , Kim Jaeyoon , Choi Wona , Choi InYoung
Published: May 2023

In Korea, the Korea Centers for Disease Control and Prevention operates the Korea BioBank Network (KBN). KBN has pathological records that collected in Korea and it is useful dataset for research. In this study, we established system that time efficient and reduced error by step-by-step data extraction process from KBN pathological records. We tested the extraction process by 769 lung cancer cohorts and 1292 breast cancer cohorts and accuracy is 91%. We expect this system can be used to efficiently process data from multiple institutions, including Korea BioBank Network.
Refinement of the Target Population for Colorectal Cancer Screening in France, Inventory as a Prelude to the Use of Medico-Administrative Database
Authors: Koïvogui Akoi , Benamouzig Robert , Duclos Catherine
Published: May 2023

The study describes the level of improvement in the risk of misclassification that would be achieved by refining the campaign target population using a query in the French medico-administrative database (SNDS). The SNDS’s use requires other new strategies that can minimize the number of people wrongly included in the campaigns, because its accuracy is less than 100%.
An Audit of Dietitians’ Documentation – Comparing the Level of Agreement Between the Audit Instruments Diet-NCP-Audit and NCP-QUEST
Authors: Lindberg Anja , Nyberg Maria , Orrevall Ylva , Liljeberg Evelina
Published: May 2023

To explore the inter-rater reliability of the Swedish translation of NCP-QUEST in a Swedish context and investigate the level of agreement between Diet-NCP-Audit and NCP-QUEST in assessment of documentation quality. A retrospective audit was conducted of 40 electronic patient records written by dietitians at one University Hospital in Sweden. NCP-QUEST showed good inter-rater reliability for the quality category (ICC = 0.85) and excellent inter-rater reliability for total score (ICC = 0.97).
The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care
Authors: Ameen Saleem , Wong Ming Chao , Yee Kwang Chien , Nøhr Christian , Turner Paul
Published: May 2023

Over the last decade, the explosion of “Big Data” and its fusion with AI has led many to believe that the development and integration of AI systems in healthcare will usher in a transformative revolution that democratises access to high quality healthcare and collectively improve patient outcomes. However, the nature of market forces in the evolving data economy, has started to show evidence that the opposite is more likely to be true. This paper argues that there is a poorly understood “Inverse Data Law” that will exacerbate the widening health divide between affluent and marginalised communities because: (1) data used to train AI systems favour individuals that are already engaged with healthcare, who have the lowest burden of disease, but the highest purchasing power; and (2) data used to drive market decisions around investment in AI health technology favours tools that increase the commodification of healthcare through over-testing, over-diagnosis, and the acute and episodic management of disease, over tools that support the patient to prevent disease. This dangerous combination is more likely to cripple efforts towards preventative medicine, as data collection and utilisation tends to be inversely proportional to the needs of the patients served – the inverse data law. The paper concludes by introducing important methodological considerations in the design and evaluation of AI systems to promote systems improvement for marginalised users.
Perceptions of Learning Activities in Electronic Health Record Transition
Authors: Schmidt Thomas , Nøhr Christian
Published: May 2023

Learning activities are at the front-line of first impressions. In this paper, the education and training program for a large electronic health record transition project is presented. Management, and staff were interviewed before, during, and after implementation on their perception, reception, and benefit of various learning activities. Daily clinical work and obligations complicate adherence to learning programs, and the clinical professions differ in their approach to mandatory activities. Local learning activities empower staff, and planners should consider embedding room for adjustment of learning program during implementation.
Feasibility of a Virtual Reality App to Promote Pulmonary Rehabilitation
Authors: Finkelstein Joseph , Parvanova Irena , Huo Xingye
Published: May 2023

One of the major barriers to joining pulmonary rehabilitation (PR) programs is a lack of awareness about its benefits, combined with overall skepticism about regular exercise among COPD patients. Empowering COPD patients with foundational knowledge about PR may potentially facilitate their decision to join a PR program. A virtual reality (VR) app may serve as an engaging and interactive means to deliver PR education; however, the feasibility of this approach in COPD patients is unknown. The goal of this project was to assess the feasibility of VR-based PR education in COPD patients. Using mixed methods design, the feasibility of the VR app was assessed by evaluating its usability, patient acceptance, and its impact on patient knowledge about PR. The results of the usability assessment showed high user acceptance of the VR system and the ability to successfully operate the VR appliances. The use of the VR education app resulted in a statistically significant increase in patient understanding of the main concepts of pulmonary rehabilitation. Further development and evaluation of VR-based systems for patient engagement and empowerment are warranted.
Access to Development Opportunities in Biomedical and Health Informatics
Authors: Villumsen Sidsel , Jensen Rikke Amalie Agergaard , Nielsen Klaus , Rian Ouafa , Jonasson Charlotte
Published: May 2023

In between users and trained informaticians, we find a group of people carrying out important work in implementing and further developing health information technology, without access to formal biomedical and health informatics (BMHI) training. Study findings show what is required of novices in BMHI to gain access to communities of practice through which expertise can be developed.
N-of-1 Analytics Makerspace: A Prototype for Cystic Fibrosis Self-Care and Co-Care
Authors: Hager Andreas , Wannheden Carolina
Published: May 2023

We have designed a prototype N-of-1 analytics makerspace, which is a collaborative work environment that provides a space for different stakeholders in healthcare to learn new skills and work together on projects that can improve individual patient care and the effectiveness of healthcare systems. Our prototype was designed to study the use of antibiotics in self-management for children with cystic fibrosis in Sweden but is intended to be disease agnostic and potentially include other complex medical conditions in the future.
The Demonstration of a Tool for Self-Estimating Digital Competence
Authors: Ahlin Karin
Published: May 2023

This study presents the results from a demonstration of a tool for self-estimation of digital competence for nurses and assistant nurses. The data was gathered from twelve participants working as leaders of older care homes. The results show that digital competence is of importance in health and social care, that the dimension of motivation is of utmost importance and that the presentation of the survey results should be flexible.
Expert Feedback on the Adaptation and Translation of Spanish Version of WiseApp
Authors: Schnall Rebecca , Ramirez Sergio Ozoria , Padilla Janeth Juarez , Halpern Mina , Olender Susan , Baez Pamela
Published: May 2023

HIV-related disparities also exist in developing countries, such as the Dominican Republic, where minority groups and/or those with low socioeconomic status experience higher disease burdens and worse health outcomes than those with higher socioeconomic status. We used a community-based approach to ensure the WiseApp intervention is culturally relevant and addresses the needs of our target population. Expert panelists made recommendations on how to simplify the language and features of the WiseApp to accommodate Spanish-speaking users who may have lower levels of education, or color or vision deficiencies.
Secur-e-Health Project: Towards Federated Learning for Smart Pediatric Care
Authors: Rb-Silva Rita , Ribeiro Xavier , Almeida Francisca , Ameijeiras-Rodriguez Carolina , Souza Julio , Conceição Luis , Taveira-Gomes Tiago , Marreiros Goreti , Freitas Alberto
Published: May 2023

The application of machine learning (ML) algorithms to electronic health records (EHR) data allows the achievement of data-driven insights on various clinical problems and the development of clinical decision support (CDS) systems to improve patient care. However, data governance and privacy barriers hinder the use of data from multiple sources, especially in the medical field due to the sensitivity of data. Federated learning (FL) is an attractive data privacy-preserving solution in this context by enabling the training of ML models with data from multiple sources without any data sharing, using distributed remotely hosted datasets. The Secur-e-Health project aims at developing a solution in terms of CDS tools encompassing FL predictive models and recommendation systems. This tool may be especially useful in Pediatrics due to the increasing demands on Pediatric services, and the current scarcity of ML applications in this field compared to adult care. Herein we provide a description of the technical solution proposed in this project for three specific pediatric clinical problems: childhood obesity management, pilonidal cyst post-surgical care and retinography imaging analysis.
Developing a Comprehensive Search Strategy for the Systematic Review of Clinical Decision Support Systems for Nursing Practice
Authors: Abi Khalil Cynthia , Saab Antoine , Rahme Jihane , Seroussi Brigitte
Published: May 2023

The search strategy of a literature review is of utmost importance as it impacts the validity of its findings. In order to build the best query to guide the literature search on clinical decision support systems applied to nursing clinical practice, we developed an iterative process capitalizing on previous systematic reviews published on similar topics. Three reviews were analyzed relatively to their detection performance. Errors in the choice of keywords and terms used in title and abstract (missing MeSH terms, failure to use common terms), may make relevant articles invisible.
Qualitative Assessment of Implementation of a Discharge Prediction Tool Using RE-AIM Framework
Authors: Finkelstein Joseph , Parvanova Irena , Xing Zhaopeng , Truong Tuyet-Trinh , Dunn Andrew
Published: May 2023

The implementation process in the routine clinical care of a new predictive tool based on machine learning algorithms has been investigated using the RE-AIM framework. Semi-structured qualitative interviews have been conducted with a broad range of clinicians to elucidate potential barriers and facilitators of the implementation process across five major domains: Reach, Efficacy, Adoption, Implementation, and Maintenance. The analysis of 23 clinician interviews demonstrated a limited reach and adoption of the new tool and identified areas for improvement in implementation and maintenance. Future implementation efforts of machine learning tools should support the proactive engagement of a wide range of clinical users since the very initiation of the predictive analytics project, provide higher transparency of the underlying algorithms, employ broader onboarding of all potential users on a periodic basis, and collect feedback from clinicians on an ongoing basis.
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
Authors: Amirahmadi Ali , Ohlsson Mattias , Etminani Kobra , Melander Olle , Björk Jonas
Published: May 2023

Using electronic health records data and machine learning to guide future decisions needs to address challenges, including 1) long/short-term dependencies and 2) interactions between diseases and interventions. Bidirectional transformers have effectively addressed the first challenge. Here we tackled the latter challenge by masking one source (e.g., ICD10 codes) and training the transformer to predict it using other sources (e.g., ATC codes).
Inter-Professional Communications During Follow-Up of Type 2 Diabetes Patients: An Exploratory Study
Authors: Marcilly Romaric , Lemaitre Madleen , Maalem Sonia , Baran Jan , Beuscart Jean-Baptiste , Quindroit Paul
Published: May 2023

Follow-up of patients with type 2 diabetes mellitus (T2DM) involves several healthcare professionals. The quality of their communication is crucial for optimizing care. This exploratory work aims to characterize those communications and their problems. Interviews were performed with general practitioners (GP), patients and other professionals. Data were analyzed deductively, and results were structured through a people map. We performed 25 interviews. GP, patients, nurses, community pharmacists, medical specialists and diabetologists are the main actors of the T2DM patients’ follow-up. Three communication issues were identified: difficulties in reaching the hospital diabetologist, delays in receiving reports, and difficulties for patient to transmit information. Results were discussed in terms of tools, care pathways and new roles to support communications during T2DM patients’ follow-up.
How Do User Participation and IT Self-Efficacy Influence User Attitudes Towards Smart Hospital Technology?
Authors: Kröner Saskia , Hassmann Jörg , Esdar Moritz , Maischak Julia , Hübner Ursula
Published: May 2023

Smart hospitals aim to advance digitalization to provide better and safer care and increase user satisfaction by minimizing documentation burden. The aim of this study is to investigate the potential impact and its logic of user participation and self-efficacy on the pre-usage attitude and behavioural intention towards IT for smart barcode scanner-based workflows. A cross-sectional survey was conducted in a system of 10 hospitals in Germany that are in the process of implementing intelligent workflow technology. Based on the answers of 310 clinicians, a partial least squares (PLS) model was developed which explained 71.3% of the variance in pre-usage attitude and 49.4% of the variance in behavioural intention. User participation significantly determined pre-usage attitude through perceived usefulness and trust, while self-efficacy significantly did so through effort expectancy. This pre-usage model sheds light on how users’ behavioural intention towards using smart workflow technology could be shaped. It will be complemented by a post-usage model according to the two-stage model of Information System Continuance.
Improving Well-Being in Schools – Lessons Learned from IoT Experts
Authors: Kitkowska Agnieszka , Ahlin Karin
Published: May 2023

The Internet of Things (IoT) is a source of knowledge about the surrounding environment and people in such an environment. The insights collected by IoT can provide the knowledge needed to improve people’s health and overall well-being. Schools are one environment where IoT is scarcely applied, yet, it is expected that this is where children and teenagers spend most of their time. Drawing on previous findings, this paper presents preliminary results from qualitative inquiry investigating how and what IoT-based solutions could support health and well-being in elementary educational settings.
Usability-Tests of Mechanical Ventilators: A Systematic Review
Authors: Volmerg Julia S. , Coldewey Beatrice , Röhrig Rainer , Lipprandt Myriam
Published: May 2023

The usability of ventilators is critical for patient safety. This systematic review shows the methods used in usability studies on ventilators, if those are similar in methodology. Furthermore, the usability tasks are compared to the requirements for manufactures during approval. Results show that the methodology and procedure of the studies are similar, but only cover part of the primary operating functions from their corresponding ISO Norm. Therefore optimisation of aspects of the study design, e.g., scope of tested scenarios, is possible.
Evaluation of Modeling Approaches for a Clinical Data Warehouse in a Highly Dynamic Environment
Authors: Lorenz Stephan , Gebler Richard , Bathelt Franziska , Sedlmayr Martin , Reinecke Ines
Published: May 2023

The availability of clinical data for researchers is crucial for an improvement of healthcare and research. For this purpose, the integration, harmonization and standardization of healthcare-data from various sources in a clinical data warehouse (CDWH) is highly relevant. Our evaluation taking into account the general conditions and requirements of the project, led us to choose the Data Vault approach for the development of a clinical data warehouse at the University Hospital Dresden (UHD).
A Categorial Structure for Identifying Physiological Measurement Observables
Authors: Thurin Anders
Published: May 2023

Patient measurements to characterize pathophysiological phenomena are often difficult to describe. A controlled terminology for this domain is needed, to describe methods, appropriate reference values and to report results. This is a proposal for a categorial structure for such a terminology
Few-Shot and Prompt Training for Text Classification in German Doctor’s Letters
Authors: Richter-Pechanski Phillip , Wiesenbach Philipp , Schwab Dominic M. , Kiriakou Christina , He Mingyang , Geis Nicolas A. , Frank Anette , Dieterich Christoph
Published: May 2023

To classify sentences in cardiovascular German doctor’s letters into eleven section categories, we used pattern-exploiting training, a prompt-based method for text classification in few-shot learning scenarios (20, 50 and 100 instances per class) using language models with various pre-training approaches evaluated on CARDIO:DE, a freely available German clinical routine corpus. Prompting improves results by 5-28% accuracy compared to traditional methods, reducing manual annotation efforts and computational costs in a clinical setting.
Information Extraction from Medical Texts with BERT Using Human-in-the-Loop Labeling
Authors: Šuvalov Hendrik , Laur Sven , Kolde Raivo
Published: May 2023

Neural network language models, such as BERT, can be used for information extraction from medical texts with unstructured free text. These models can be pre-trained on a large corpus to learn the language and characteristics of the relevant domain and then fine-tuned with labeled data for a specific task. We propose a pipeline using human-in-the-loop labeling to create annotated data for Estonian healthcare information extraction. This method is particularly useful for low-resource languages and is more accessible to those in the medical field than rule-based methods like regular expressions.
Announcement of the German Medical Text Corpus Project (GeMTeX)
Authors: Meineke Frank , Modersohn Luise , Loeffler Markus , Boeker Martin
Published: May 2023

The largest publicly funded project to generate a German-language medical text corpus will start in mid-2023. GeMTeX comprises clinical texts from information systems of six university hospitals, which will be made accessible for NLP by annotation of entities and relations, which will be enhanced with additional meta-information. A strong governance provides a stable legal framework for the use of the corpus. State-of-the art NLP methods are used to build, pre-annotate and annotate the corpus and train language models. A community will be built around GeMTeX to ensure its sustainable maintenance, use, and dissemination.
Narrative Trends over the COVID-19 Pandemic: Digital Social Listening to Inform WHO Infodemic Management
Authors: White Becky , Ishizumi Atsuyoshi , Yau Brian , Wright Amy , Lavery Lucy , Nguyen Tim , Briand Sylvie , Zecchin Tim , Purnat Tina D.
Published: May 2023

The COVID-19 infodemic is an overwhelming amount of information that has challenged pandemic communication and epidemic response. WHO has produced weekly infodemic insights reports to identify questions, concerns, information voids expressed and experienced by people online. Publicly available data was collected and categorized to a public health taxonomy to enable thematic analysis. Analysis showed three key periods of narrative volume peaks. Understanding how conversations change over time can help inform future infodemic preparedness and prevention planning.
‘Smart’ Buffalo Weight Estimation via Digital Technologies: Experiences from South Italy
Authors: Tamburis Oscar , Matera Roberta , Salzano Angela , Calamo Antonio , Vistocco Domenico , Neglia Gianluca
Published: May 2023

The present work aims at describing a viable “protocol” for unobtrusive direct/indirect monitoring of biometric parameters for the estimation of body conditions on Mediterranean Buffalo populations, using low-cost automated systems i.e., smart cameras endowed with depth perception capabilities.
Opportunistic Screening for Osteoporosis Using Hand Radiographs: A Preliminary Study
Authors: Mohammadi Farid Ghareh , Sebro Ronnie
Published: May 2023

Patients with low bone mineral density (BMD) are at risk for fractures however are often undiagnosed. Therefore, there is a need to opportunistically screen for low BMD in patients who present for other studies. This is a retrospective study of 812 patients aged 50 years or older who had dual-energy X-ray absorptiometry (DXA) and radiographs of the hands within 12 months of each other. This dataset was randomly split into training/validation (n=533) and test (n=136) datasets. A deep learning (DL) framework was used to predict osteoporosis/osteopenia. Correlations between the textural analysis of the bones and DXA measurements were obtained. We found that the DL model had an accuracy of 82.00%, sensitivity of 87.03%, specificity of 61.00% and an area under the curve (AUC) of 74.00% to detect osteoporosis/osteopenia. Our findings show that radiographs of the hand can be used to screen for osteoporosis/osteopenia and identify patients who should get formal DXA evaluation.
Client-Side Application of Deep Learning Models Through Teleradiology
Authors: Jodogne Sébastien
Published: May 2023

Deep learning models for radiology are typically deployed either through cloud-based platforms, through on-premises infrastructures, or though heavyweight viewers. This tends to restrict the audience of deep learning models to radiologists working in state-of-the-art hospitals, which raises concerns about the democratization of deep learning for medical imaging, most notably in the context of research and education. We show that complex deep learning models can be applied directly inside Web browsers, without resorting to any external computation infrastructure, and we release our code as free and open-source software. This opens the path to the use of teleradiology solutions as an effective way to distribute, teach, and evaluate deep learning architectures.
Associations Between Engagement with the BitHabit Digital Lifestyle Intervention and Changes in Type 2 Diabetes Risk Factors
Authors: Liedes Hilkka , Mattila Elina , Honka Anita , Absetz Pilvikki , Aittola Kirsikka , Manninen Suvi , Lintu Niina , Schwab Ursula , Eloranta Aino-Maija , Umer Adil , Tilles-Tirkkonen Tanja , Männikkö Reija , Ruotsalainen Ilona , Van Gils Mark , Lindström Jaana , Lakka Timo , Pihlajamäki Jussi , Vuorinen Anna-Leena
Published: May 2023

Type 2 diabetes (T2D) can be prevented or delayed through a healthy lifestyle. Digital behavior change interventions (DBCIs) may offer cost-effective and scalable means to support lifestyle changes. This study investigated associations between user engagement with a habit-formation-based DBCI, the BitHabit app, and changes in T2D risk factors over 12 months in 963 participants at risk of T2D. User engagement was characterized by calculating use metrics from the BitHabit log data. User ratings were used as a subjective measure of engagement. The use metrics and user ratings were the strongest associated with improvements in diet quality. Weak positive associations were observed between the use metrics and changes in waist circumference and body mass index. No associations were found with changes in physical activity, fasting plasma glucose, or plasma glucose two hours after an oral glucose tolerance test. To conclude, increased use of the BitHabit app can have beneficial impacts on T2D risk factors, especially on diet quality.
A Remote Monitoring Platform for the Management of Lower Limb Vascular Diseases
Authors: Souza Julio , Vieira Ana , Conceição Luís , Martins Rafael , Rodrigues Daniel , Corrente Gustavo , Xavier William , Sampaio Sérgio , Marreiros Goreti , Freitas Alberto
Published: May 2023

This short paper describes a remote monitoring platform proposed in the Inno4health project. The platform aims to guide patients and clinicians during the treatment of lower limb vascular disorders, namely, to correct abnormal foot pressure and temperature to prevent diabetic foot ulcers and to monitor interface pressure, leg position and elevation for venous ulcers patients.
Spectral Fusion of Heartbeat and Accelerometer Data for Estimation of Breathing Rate in Wearable Patches
Authors: Alhaskir Mohamed , Bauer Jennifer , Linke Florian , Schriewer Elisabeth , Weber Yvonne , Wolking Stefan , Röhrig Rainer , Rothermel Markus , Koch Henner , Kutafina Ekaterina
Published: May 2023

Despite developments in wearable devices for detecting various bio-signals, continuous measurement of breathing rate (BR) remains a challenge. This work presents an early proof of concept that employs a wearable patch to estimate BR. We propose combining techniques for calculating BR from electrocardiogram (ECG) and accelerometer (ACC) signals, while applying decision rules based on signal-to-noise (SNR) to fuse the estimates for improved accuracy.
Challenges of Estimating Global Feature Importance in Real-World Health Care Data
Authors: Markus Aniek F. , Fridgeirsson Egill A. , Kors Jan A. , Verhamme Katia M.C. , Rijnbeek Peter R.
Published: May 2023

Feature importance is often used to explain clinical prediction models. In this work, we examine three challenges using experiments with electronic health record data: computational feasibility, choosing between methods, and interpretation of the resulting explanation. This work aims to create awareness of the disagreement between feature importance methods and underscores the need for guidance to practitioners how to deal with these discrepancies.
Migration and Religious Radicalization: A Family Issue?
Authors: Valtolina Giovanni Giulio
Published: May 2023

One of the crucial issues of radicalism lately has been the involvement of family members in acts of terrorism. But families and their role in the radicalization process have not yet received proper attention from researchers, despite the growing interest shown by policy makers in several countries. This chapter provides an overview of the role of families in radicalization. Both research literature and policy and practice consider families as a potential risk of radicalization, as well as a source of protection and rehabilitation. Finally, the chapter highlights the importance of prevention, even a family level. Families may not notice change in family members who are undergoing a process of radicalization and specifically youngster may be at risk of radicalization, because of the long time they spend online.
Explanation Ontology: A general-purpose, semantic representation for supporting user-centered explanations
Authors: Chari Shruthi , Seneviratne Oshani , Ghalwash Mohamed , Shirai Sola , Gruen Daniel M. , Meyer Pablo , Chakraborty Prithwish , McGuinness Deborah L.
Published: May 2023

In the past decade, trustworthy Artificial Intelligence (AI) has emerged as a focus for the AI community to ensure better adoption of AI models, and explainable AI is a cornerstone in this area. Over the years, the focus has shifted from building transparent AI methods to making recommendations on how to make black-box or opaque machine learning models and their results more understandable by experts and non-expert users. In our previous work, to address the goal of supporting user-centered explanations that make model recommendations more explainable, we developed an Explanation Ontology (EO). The EO is a general-purpose representation that was designed to help system designers connect explanations to their underlying data and knowledge. This paper addresses the apparent need for improved interoperability to support a wider range of use cases. We expand the EO, mainly in the system attributes contributing to explanations, by introducing new classes and properties to support a broader range of state-of-the-art explainer models. We present the expanded ontology model, highlighting the classes and properties that are important to model a larger set of fifteen literature-backed explanation types that are supported within the expanded EO. We build on these explanation type descriptions to show how to utilize the EO model to represent explanations in five use cases spanning the domains of finance, food, and healthcare. We include competency questions that evaluate the EO’s capabilities to provide guidance for system designers on how to apply our ontology to their own use cases. This guidance includes allowing system designers to query the EO directly and providing them exemplar queries to explore content in the EO represented use cases. We have released this significantly expanded version of the Explanation Ontology at https://purl.org/heals/eo and updated our resource website, https://tetherless-world.github.io/explanation-ontology, with supporting documentation. Overall, through the EO model, we aim to help system designers be better informed about explanations and support these explanations that can be composed, given their systems’ outputs from various AI models, including a mix of machine learning, logical and explainer models, and different types of data and knowledge available to their systems.
Proactive health interventions in the workplace: The role of spatial playfulness in promoting mental health
Authors: Jiao Dian , Tang Jian , Guo Rui
Published: May 2023

BACKGROUND: The high prevalence of mental illnesses has a serious impact on productive life and there is an urgent need to intervene using a variety of active and effective measures. OBJECTIVE: The concept of playfulness in space is introduced into the design of work spaces oriented towards active health interventions, creating a close interaction between the body and the space through play, thus developing a positive effect on the promotion of the physical and mental health of the staff. METHODS: With the help of the spatial order theory, the analysis of the interaction between body and space is attempted to explore the form, structure and scene of space in order to optimize the body’s perception, cognition and behavior in the space, thus creating an indoor workspace model with positive intervention effects on human health. RESULTS: Based on the idea of spatial playful participation in active health interventions, this study explores the interaction between the body and the architectural space to enhance the perception and cognitive guidance of the space for the individual and to have a pleasant spiritual experience in the interaction to relieve work stress and enhance mental health. CONCLUSION: This series of discussions on the relationship between architectural space and the human body is of great relevance in improving the public health of occupational groups.
POLA KOMUNIKASI KELUARGA DALAM MEMBENTUK KEPRIBADIAN ISLAMI ANAK DI KAMPUNG SINAR HARAPAN RAJABASA JAYA KOTA BANDAR LAMPUNG
Authors: Nasor M. , Wahyu M. , Rifa’i Rendra Nasrul , Utama Esen Pramudya , Puspita Sari Nina Ayu Ayu
Published: May 2023

In Islam, children are very important. Islam does not treat children by wasting them. In essence, children are a mandate from Allah SWT. While parents are educators for their children, they have a great responsibility for their children's growth and development. As for the education carried out by parents to their children, it is solely to create people who are faithful, pious and knowledgeable who are able to develop themselves into obedient servants of Allah. This obedient servant of Allah can be seen from his personality, Islamic personality is behavior that is in accordance with Islamic values, both in the form of worship, especially prayer and fasting, as well as good morals, especially discipline, responsibility, and respect. Thus, parents as educators are obliged to form Islamic personalities in children from an early age, especially when children are 7-12 years old. In general, children at this age really like to play and often meet with other important activities. In addition, this age is also known as the ripe period for learning. So that parents can use it to instill religious behavior in children.

From this background, the author examines what are the patterns of family communication in shaping the personality of Islamic children in Sinar Harapan Village, Rajabasa Jaya Village, Bandar Lampung City? and what are the effects of family communication on the child's Islamic personality?. This study aims to explain the communication pattern of the child's family in shaping the Islamic personality and explain the effect of family communication on the child's Islamic personality. This research is a type of research that collects data from the field, which is descriptive qualitative. In taking the sample, the researcher used a purposive sampling technique, namely taking samples with certain criteria. Data collection tools used in this study were interviews, observation and documentation.

As for the findings in this study, families in Sinar Harapan Village use a communication pattern in the form of dyadic interpersonal communication which in the communication process uses a two-way communication model, and gets direct responses that are positive or negative. dyadic interpersonal relationships are carried out by means of hiwar, stories, examples, habituation, tarhib, advice and punishment. The effects of family communication on children include cognitive, affective and behavioral effects.
МАЛЮНОК ТАНЦЮ ЯК ВИРАЗНИЙ ЗАСІБ НАРОДНО-СЦЕНІЧНОЇ ХОРЕОГРАФІЇ
Authors: Ткаченко Ірина Олександрівна , Максименко Анатолій Іванович
Published: May 2023

У статті висвітлено теоретичні аспекти проблеми малюнку танцю як виразного засобу народно-сценічної хореографії. Застосування конкретно-наукових методів дослідження, зокрема термінологічний аналіз та інтерпретація наукової думки, дало змогу з’ясувати, що малюнок танцю є переміщенням танцівників сценічним майданчиком. Узагальнення матеріалів наукового пошуку засвідчили, що малюнком танцю називається траєкторія руху виконавців, яка залишається на поверхні підлоги. На основі аналізу, синтезу, узагальнення, систематизації доведено, що малюнок танцю народно-сценічної хореографії залежить від географічного розташування, побуту, місцевих традицій. Розглянуто класифікацію малюнку танцю (однопланові, багатопланові) та надано їх характеристику. Виокремлено базові фігури малюнку танцю народно-сценічної хореографії, зокрема хороводу. Установлено, що коло, коло в колі, два кола поруч, ворітця, равлик, вісімка, корзиночка, змійка, вулиця, колона є найбільш поширеними малюнками хороводу. Охарактеризовано особливості малюнків танцю, які притаманні різним народам світу, зокрема: грузинська хореографія має піраміду, яка символізує гори; китайська – асиметрію. Натомість танці слов’янських народів мають паралельні перегрупування. Лінійні види малюнків танцю притаманні ірландським та шотландським танцям.
ВПРОВАДЖЕННЯ ЗАСТАВНОГО МЕНЕДЖМЕНТУ НА ФІНАНСОВОМУ РИНКУ УКРАЇНИ
Authors: Білоус Костянтин
Published: May 2023

У статті досліджено сучасний стан управління заставою в правовому середовищі України та запропоновано законодавчі зміни для покращення інфраструктури ринку деривативів. Дослідження має на меті оцінити правову базу Законів України та нормативно-правові акти Національного банку України щодо впровадження механізмів управління заставою в українському законодавстві з метою забезпечення безпеки та доступності ринку. З огляду на інтеграцію України до світових фінансових ринків, прозора правова база для управління заставою має критичне значення для стабільності ринку. У роботі проаналізовано особливості управління заставою в Україні, досліджено останні законодавчі зміни та ініціативи щодо підвищення прозорості та стабільності ринку. Засновуючись на міжнародних стандартах, запропоновано законодавчі зміни для зміцнення правової інфраструктури управління заставою на ринку деривативів. Впровадження надійної правової рамки та механізмів, таких як заставний менеджмент та центральний кліринг, є важливим для забезпечення прозорості ринку, зменшення системних ризиків та підвищення довіри інвесторів. У статті наголошено на важливості впровадження найкращих міжнародних практик для сталої системи управління заставою в Україні, посилаючись на дослідження експертів у сфері фінансових ринків, управління заставою та правового регулювання. Аналіз наукової літератури виявляє проблеми та недоліки управління заставою в Україні та на глобальному рівні, оцінюючи їх вплив на стабільність та прозорість фінансового ринку. Дослідження акцентує увагу на потенційних перевагах введення центрального клірингового дому для операцій з деривативами в Україні. Центральна контрагент виступав б як посередник у деривативних угодах, вимагаючи від сторін розміщення застави з метою мінімізації ризику окремих контрагентів та забезпечення стабільності ринку. В результаті, впровадження механізмів управління заставою в Україні є важливим для розвитку зрілого фінансового ринку. Таким чином, рекомендовано внести законодавчі зміни та включити механізми управління заставою в українське законодавство для досягнення цієї мет з приведення фінансового ринку України у відповідність з європейськими стандартами та забезпечення майбутнього фінансового сектора.
Peluang Penerapan Penyimpanan Minuta Akta secara Elektronik menuju Era E-Notary berdasarkan Undang- Undang No. 2 Tahun 2014 tentang Jabatan Notaris
Authors: Mallolongan Litha Nabilla , Noor Hendry Julian
Published: May 2023

Penelitian ini bermaksud untuk menganalisis peluang terkait penerapan penyimpanan minuta akta notaris yang di alih mediakan menjadi ke dalam bentuk elektronik dimana selama ini minuta akta notaris di simpan secara konvensional. Tujuan lain dari penelitian ini adalah mengetahui optimalisasi penyimpanan minuta akta notaris secara elektronik. Penelitian ini merupakan penelitian hukum normatif, bersumber pada aturan-aturan hukum Jabatan Notaris beserta hukum Informasi dan Transaksi Elektronik dan Hukum Kearsipan yang merupakan sumber hukum tertulis. Analisis yang digunakan dalam penelitian ini adalah kualitatif dan disajikan secara deskriptif. Hasil penelitian ini menunjukkan bahwa Pasal 15 ayat 3 UUJN-P membuka peluang pada kegiatan notaris untuk dapat dilakukan secara elektronik. Pada Pasal 16 ayat 7 terdapat peluang diberlakukannya cyber notary/e-notary terhadap dokumen elektronik, maupun akta elektronik karena pembacaan akta dihadapan notaris adalah tidak wajib ketika para pihak memilih agar akta tersebut tidak dibacakan karena para pihak telah membacanya sendiri. Pasal 68 ayat (1) Undang-Undang Kearsipan, Peraturan Pemerintah No. 28 tahun 2012 tentang pelaksanaan Undang-Undang No. 43 tahun 2009 tentang Kearsipan, Pasal 5 ayat (4) huruf b UU ITE, memberikan interpretasi bahwa minuta akta notaris dapat disimpan secara elektronik. Dalam proses pengarsipan dokumen secara elektronik Peraturan Kepala ANRI (Arsip Nasional Republik Indonesia) Nomor 20 tahun 2011 tentang Pedoman Autentikasi Arsip Elektronik, dapat dijadikan contoh atau pedoman. Autentikasi dalam peraturan tersebut dapat berupa memberikan tanda dan / atau pernyataan tertulis atau tanda lainnya yang dapat memberikan tanda bahwa arsip yang dimaksud merupakan arsip yang diambil dari data original atau copy original, dimaksud agar nilai otentiknya tetap melekat dan tidak berkurang sama sekali.
Analisis Vegetasi Gulma pada Lahan Tanaman Jagung di Kecamatan Insana Tengah Kabupaten Timor Tengah Utara
Authors: Kamaluddin Kamaluddin , Hano’e Emanuel M. Y. , Pardosi Lukas
Published: May 2023

Penelitian ini dilaksanakan untuk mengetahui jenis gulma dan indeks keanekaragaman gulma pada tanaman jagung di Kecamatan Insana Tengah Kabupaten Timor Tengah Utara. Penelitian dilakukan dengan menggunakan metode kuadrat sebanyak 10 plot dengan ukuran 1x1 m2. Hasil penelitian menunjukkan bahwa ditemukan 11 Famili dengan 614 Individu pada lokasi penelitian. Spesies paling banyak ditemukan yaitu famili Asteraceaae sebanyak 403 individu, Famili Euphorbiaceae sebanyak 67 individu,  Famili Poaceae sebanyak 65 Individu dan Spesies paling sedikit ditemukan yaitu Famili Fabaceae dimana ditemukan 2 individu. Spesies gulma yang memiliki nilai SDR tertinggi dan terendah yaitu Sinedrella nodiflora L. dengan nilai SDR: 38,89%, dan Desmodium triflorium L. DC merupakan gulma yang memiliki nilai SDR paling rendah yaitu SDR: 1,66%. Nilai indeks keanekaragaman jenis gulma yaitu H’=1,461 dengan kategori sedang.
Karakterisasi Stomata dan Trikomata Daun Kirinyuh (Chromolaena odorata L.)
Authors: Makin Florian Mayesti Prima Remba , Welsiliana Welsiliana , Wiguna Gede Arya
Published: May 2023

Stomata dan trikomata merupakan modifikasi jaringan epidermis. Melalui stomata terjadi pertukaran gas oksigen, karbon dioksida, dan uap air dari daun ke alam sekitar dan sebaliknya. Trikoma biasanya muncul pada hampir seluruh permukaan luar organ tumbuhan baik organ vegetatif maupun organ reproduksi. Kirinyuh (Chromolaena odorata L.) adalah salah satu tumbuhan liar namun secara tradisional, daun kirinyuh telah digunakan sebagai obat dalam penyembuhan luka, mengobati radang tenggorokan, obat malaria, sakit kepala, antidiare, dan astringent, antiplasmodial, antihipertensi dan anti inflamasi. Kelenjar trikomata dapat menghasilkan metabolit sekunder yang dapat dimanfaatkan sebagai herbisida alami. Penelitian ini bertujuan mengkarakterisasi morfologi stomata dan trikomata daun kirinyuh. Metode yang digunakan adalah metode pengolesan aseton. Diperoleh panjang stomata 26,75 µm, lebar stomata 8,95 µm, bentuk stomata oval, sel penutup stomata berbentuk ginjal, dan tipe stomata anomositik. Rata-rata sebanyak 28 stomata ditemukan pada setiap area pengamatan dengan kerapatan stomata 232/mm2. Panjang trikomata daun kirinyuh 205,21 µm dan lebar 29,14 µm. Bentuk trikomata daun kirinyuh adalah multiseluler dan tipe trikomanya adalah non glandular. Ukuran panjang stomata termasuk kategori panjang, sedangkan lebar stomata termasuk kategori kurang lebar. Jumlah stomata daun kirinyuh yang ditemukan masih kategori sedikit dengan kerapatan tergolong rendah. Stomata daun kirinyuh hanya ditemukan pada sisi abaksial daun dan tidak ditemukan pada sisi adaksial, sedangkan trikomata ditemukan ditemukan pada kedua sisi permukaan daun kirinyuh.
Efektivitas Larva Black Soldier Fly (Hermetia Illucens) dalam Mereduksi Pakan Limbah Organik Sawi Putih dan Daun Singkong
Authors: Bay Maria Marselina , Mantolas Yardi , Pakaenoni Gonsianus
Published: May 2023

Black Soldier Fly (BSF) is an insect that reduces organic waste by utilizing its larvae which will extract energy and nutrients from vegetable waste such as mustard and cassava leaves waste, fruits, food scraps, animal carcasses, and feces as food ingredients. This study aimed to see the effectiveness of BSF larvae in reducing feed organic waste of chicory and cassava leaves. The method used in this research is a laboratory and experimental scale experiment. The results of this study showed that the effectiveness of BSF larvae in reducing organic waste feed on cassava leaf waste samples was 57% for 1x3 feeding frequency, but decreased in 1x1 feeding frequency, which was 40%. While the percentage value of sample reduction by BSF larvae in chicory samples was 53% for 1x3 feeding frequency, but experienced a decrease in 1x1 feeding frequency, which was 38%. The effectiveness level of BSF larvae in reducing waste samples can be said to be effective at 1x3 feeding frequency.