bluuebunny/crossref_metadata_2025 huggingface dataset:
A new approach to lymphedema following breast cancer treatment with lymphatic endothelial cell markers
Authors: NURLU Nilhan , BULUT Gül Tuğba
Published: May 2021

Amaç: Lenfödem (LE), aksiller lenf nodu diseksiyonu ve radyoterapi ile tedavi edilen meme kanserli olgularda yaygın gelişen iyatrojenik bir komplikasyondur. Bu çalışmada lenfödemli hastalarda meme kanseri tedavisi sonrası, lenfatik sistem endotelinden salınan, homeobox transkripsiyon faktörü (Prox-1), lenfatik damar endotel reseptörü-1 (LVYE-1) ve podoplanin (PDPN) belirteçlerinin serum düzeylerini araştırmayı amaçladık.

Metod: Çalışmanın LE grubunu meme kanseri tedavisi sonrası üst ekstremitede LE gelişen toplam 44 kadın hasta, kontrol grubunu ise demografik açıdan LE grubu ile benzer özellikler gösteren 44 sağlıklı kadın oluşturdu. Hastaların kol çevreleri ölçüldü ve her iki kol çevresi toplamları arasındaki fark (DSOAC) 2 cm veya ≥ %10 ise LE olarak kabul edildi. Serum Prox-1, LVYE-1 ve PDPN konsantrasyonları ticari ELISA (Enzyme-linked immunosorbent assay) ile ölçüldü.

Bulgular: LE grubunda Prox-1, LVYE-1 ve PDPN seviyeleri kontrol grubuna göre anlamlı olarak düşük bulundu (sırasıyla; p < 0.01, p = 0.02, p = 0.04). Prox-1 seviyeleri Evre 1 LE'li hastalarda Evre 2 LE’li hastalara göre anlamlı yüksekti (p
Determinants of intensive care prognosis in patients with “platelet indices” in chronic obstructive pulmonary disease and lung cancer
Authors: ERASLAN DOĞANAY Güler , CIRIK Mustafa Özgür
Published: May 2021

Aim: Platelet activation and consumption indicate worse prognosis in critical ill patients. Researchers found that the lungs play an important role in the production of mature platelets. Chronic obstructive pulmonary disease(COPD) is a respiratory disease affects the lungs and also has systemic effects due to inflammation. This study was conducted to examine prognosis and mortality with Platelet indices in COPD and lung cancer patients in intensive care.

Methods: We extracted clinical datas including patient demographics, Charlson Comorbidite Index, Acute Physiology and Chronic Health Evaluation II, Sequential Organ Failure Assessment scores, length of stay in ICU, length of stay in hospital, duration of mechanical ventilation, inotrope use, Plt count, MPV, PDW, and PCT values and 30-day mortality retrospectively.

Results: This study was conducted with the 344 COPD and 84 lung cancer patients’ data analysis admitted to ICU .In this study we found that Plt count, PDW, and MPV are also predict COPD while Plt count and MPV predict lung cancer.The study shown that, CCI, APACHE II, SOFA score, intrope use, MV duration and mortality were higher in lung cancer patients compared to COPD patients.

Conclusion: Plt indices can be a determinant in patients with COPD and lung cancer but they might not make a clear distinction for prognosis.
Immunohistochemical examination of p97/VCP expression in developing mouse pancreas and liver
Authors: KARTAL Bahar , ALİMOĞULLARI Ebru , AKCAN Gülben , ÇAYLI Sevil , VERGİLİ Muaz Alperen
Published: May 2021

Abstract

Aim: The 97-kDa Valosin-containing protein has important functions in proteolysis. Although the expression of p97 / VCP has been studied in many types of cells and tissues, the localization of p97 / VCP at cellular level in developing mouse pancreas and liver has not been determined. Therefore, the aim of our study was investigate the immuolocalization of p97/VCP in the rat fetal and postnatal liver and pancreas.

Material Methods: The liver and pancreas from fetal, postnatal (1, 5, 15, 35 days old ) and adult (50 days old) mice were examined by using immunohistochemistry in order to determine the expression of p97/VCP. Furthermore the development of mouse pancreas and liver were histomorphologically analyzed under light microscope.

Results: The histological structures of the mouse pancreas and liver were maintained in postnatal period. The histological differences between endocrine and exocrine pancreas were significantly observed from the postnatal 5th day. The expression of p97/VCP in Langerhans islets was determined from day 5. p97/VCP expression was also seen in the exocrine pancreas in all postnatal days. p97/VCP was expressed in developing pancreatic and liver tissues and its expression was increased with the development.

Conclusion: This study is the first to examine the distribution and the localization of p97/VCP in the fetal and postnatal rat liver and pancreas. This study forms the basis for clinical studies in order to determine the function of p97 / VCP in liver and pancreatic cells.
Investigation of the effect of tens treatment on cardiac electrical activity using proarrhythmogenic markers
Authors: ÖTEN Erol , ÇAPRAZ Mustafa
Published: May 2021

Objective: It was aimed to investigate the effect of transcutaneous electrical nerve stimulation (TENS) treatment, which is widely used for pain, on cardiac electrical activity by using new proarrhythmogenic markers that give an idea on cardiac arrhythmia.

Material Method: Forty patients (21 females, 19 males, mean age 56.60 ± 10.38) who applied to our outpatient clinic with the complaint of pain in the left shoulder or limitation of motion were included in our study. A fifteen-session physical therapy program was applied to the patients. Twelve-lead electrocardiography (ECG) was performed before treatment, at the end of the first day of treatment, and after treatment; and heart rate, QT interval (cQT) corrected according to Bazett formula, Tp-e / QT and electrophysiological balance index (iCEB) ratio were measured. The relationship of the measurements before treatment-first day after treatment, before treatment-fifteenth day after treatment and first day after treatment-fifteenth day after treatment was evaluated by Paired-Samples T test analysis.

Results: In our study, when heart rate, cQT, Tp-e / QT and iCEB values were statistically analyzed, no significant difference was observed between measurements, since p> 0.05.

Conclusion: In our study, when the heart rate, new proarrhythmogenic markers cQT, Tp-e / QT and iCEB values were examined in patients who received physical therapy to the left shoulder region, it was seen that TENS treatment did not have a significant effect on cardiac rhythm.
COVID-19 and myocarditis/myocardial injury
Authors: OKYAY Kaan
Published: May 2021

Myocarditis is defined as inflammation of the myocardium, and it presents with different clinical pictures, and its diagnosis has some difficulties. The prognosis of myocarditis is aetiology-dependent, and treatment is fundemantally supportive except for “endometrial biopsy proven” cases which requires spesific therapies including immunomodulators and intravenous immunoglobulins. SARS-CoV-2 affects cardiovascular systems directly or via indirectly mechanisms. COVID-19 infection increases the risks of myocardial injury, myocarditis, myocardial infarction, heart failure, venous thromboembolism and arrhythmias. The underlying mechanism of troponin elevation during COVID-19 infections is not exactly explained. In this review, the relationship between COVID-19 and myocardial involvement was discussed. Still, multidisciplinary trials are needed to explain this important situation.
Quality of Life as an Indicator for Care Delivery in Clinical Oncology Using FHIR
Authors: Beutter Chantal N.L. , Ross Jan , Werner Patrick , Vladimirova Dilyana , Martens Uwe M. , Fegeler Christian
Published: May 2021

Introduction: Health-related quality of life (HR-QoL) as a parameter for patient well-being is becoming increasingly important.[1] Nevertheless, it is mainly used as an endpoint in studies rather than as an indicator for adjustments in therapy. In this paper we will present an approach to gradually integrate quality of life (QoL) as a control element into the care delivery of oncology. Concept: Acceptance, usability, interoperability and data protection were identified and integrated as key indicators for the development. As an initial approach, a questionnaire tool was developed to provide patients a simplified answering of questionnaires and physicians a clearer presentation of the results. Implementation: As communication standard HL7 FHIR was used and known security concepts like OpenID Concept were integrated. In a usability study, first results were achieved by asking patients in the waiting room to answer a questionnaire, which will be discussed with the physician in the appointment. This study was conducted in 2019 at theSLK Clinics Heilbronn and achieved 86% participation of all respondents with an average age of 67 years. Discussion: Although the evaluation study could prove positive results in usability and acceptance, it is necessary to aim for longitudinal surveys in order to include QoL as a control element in the therapy. However, a longitudinal survey through questionnaires leads to decreasing compliance and increasing response bias. [2] For this reason, the concept needs to be expanded. With sensors a continuous monitoring can be carried out and the data can be mapped to the individual, interpreted by machine learning. Conclusion: Questionnaires are a concept that has been successfully applied in studies for years. However, since care delivery poses different challenges, the integration of new concepts is inevitable. The authors are currently working on an extension of the use of questionnaires with patient generated data through sensors.
Merging Genomics Public Datasets with Clinical Cancer Registry Data – Lessons Learned
Authors: Schall Lorena , Bochum Sylvia , Pobiruchin Monika
Published: May 2021

Publicly available datasets – for example via cBioPortal for Cancer Genomics – could be a valuable source for benchmarks and comparisons with local patient records. However, such an approach is only valid if patient cohorts are comparable to each other and if the documentation is complete and sufficient. In this paper, records from exocrine pancreatic cancer patients documented in a local cancer registry are compared with two public datasets to calculate overall survival. Several data preprocessing steps were necessary to ensure comparability of the different datasets and a common database schema was created. Our assumption that the public datasets could be used to augment the data of the local cancer registry could not be validated, since the analysis on overall survival showed a significant difference. We discuss several reasons and explanations for this finding. So far, comparing different datasets with each other and drawing medical conclusions on such comparisons should be conducted with great caution.
The Classification of Short Scientific Texts Using Pretrained BERT Model
Authors: Danilov Gleb , Ishankulov Timur , Kotik Konstantin , Orlov Yuriy , Shifrin Mikhail , Potapov Alexander
Published: May 2021

Automated text classification is a natural language processing (NLP) technology that could significantly facilitate scientific literature selection. A specific topical dataset of 630 article abstracts was obtained from the PubMed database. We proposed 27 parametrized options of PubMedBERT model and 4 ensemble models to solve a binary classification task on that dataset. Three hundred tests with resamples were performed in each classification approach. The best PubMedBERT model demonstrated F1-score = 0.857 while the best ensemble model reached F1-score = 0.853. We concluded that the short scientific texts classification quality might be improved using the latest state-of-art approaches.
Adaption of the OMOP CDM for Rare Diseases
Authors: Zoch Michele , Gierschner Christian , Peng Yuan , Gruhl Mirko , Leutner Liz. A. , Sedlmayr Martin , Bathelt Franziska
Published: May 2021

The OMOP Common Data Model (OMOP CDM) is an option to store patient data and to use these in an international context. Up to now, rare diseases can only be partly described in OMOP CDM. Therefore, it is necessary to investigate which special features in the context of rare diseases (e.g. terminologies) have to be considered, how these can be included in OMOP CDM and how physicians can use the data. An interdisciplinary team developed (1) a Transition Database for Rare Diseases by mapping Orpha Code, Alpha ID, SNOMED, ICD-10-GM, ICD-10-WHO and OMOP-conform concepts; and (2) a Rare Diseases Dashboard for physicians of a German Center of Rare Diseases by using methods of user-centered design. This demonstrated how OMOP CDM can be flexibly extended for different medical issues by using independent tools for mappings and visualization. Thereby, the adaption of OMOP CDM allows for international collaboration, enables (distributed) analysis of patient data and thus it can improve the care of people with rare diseases.
Federated Deep Learning Architecture for Personalized Healthcare
Authors: Chen Helen , Mohapatra Shubhankar , Michalopoulos George , He Xi , McKillop Ian
Published: May 2021

Using deep learning to advance personalized healthcare requires data about patients to be collected and aggregated from disparate sources that often span institutions and geographies. Researchers regularly come face-to-face with legitimate security and privacy policies that constrain access to these data. In this work, we present a vision for privacy-preserving federated neural network architectures that permit data to remain at a custodian’s institution while enabling the data to be discovered and used in neural network modeling. Using a diabetes dataset, we demonstrate that accuracy and processing efficiencies using federated deep learning architectures are equivalent to the models built on centralized datasets.
MainzelHandler: A Library for a Simple Integration and Usage of the Mainzelliste
Authors: Preciado-Marquez Daniel , Becker Ludger , Storck Michael , Greulich Leonard , Dugas Martin , Brix Tobias J.
Published: May 2021

Pseudonymization plays a vital role in medical research. In Germany, the Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF) has developed guidelines on how to create pseudonyms and how to handle personally identifiable information (PII) during this process. An open-source implementation of a pseudonymization service following these guidelines and therefore recommended by the TMF is the so-called “Mainzelliste”. This web application supports a REST-API for (de-) pseudonymization. For security reasons, a complex session and tokening mechanism for each (de-) pseudonymization is required and a careful interaction between front- and backend to ensure a correct handling of PII. The objective of this work is the development of a library to simplify the integration and usage of the Mainzelliste’s API in a TMF conform way. The frontend library uses JavaScript while the backend component is based on Java with an optional Spring Boot extension. The library is available under MIT open-source license from https://github.com/DanielPreciado-Marquez/MainzelHandler.
Challenges in Building of Deep Learning Models for Glioblastoma Segmentation: Evidence from Clinical Data
Authors: Kurmukov Anvar , Dalechina Aleksandra , Saparov Talgat , Belyaev Mikhail , Zolotova Svetlana , Golanov Andrey , Nikolaeva Anna
Published: May 2021

In this article, we compare the performance of a state-of-the-art segmentation network (UNet) on two different glioblastoma (GB) segmentation datasets. Our experiments show that the same training procedure yields almost twice as bad results on the retrospective clinical data compared to the BraTS challenge data (in terms of Dice score). We discuss possible reasons for such an outcome, including inter-rater variability and high variability in magnetic resonance imaging (MRI) scanners and scanner settings. The high performance of segmentation models, demonstrated on preselected imaging data, does not bring the community closer to using these algorithms in clinical settings. We believe that a clinically applicable deep learning architecture requires a shift from unified datasets to heterogeneous data.
FhirSpark – Implementing a Mediation Layer to Bring FHIR to the cBioPortal for Cancer Genomics
Authors: Reimer Niklas , Unberath Philipp , Busch Hauke , Ingenerf Josef
Published: May 2021

cBioPortal is a commonly used data warehousing solution for genomic cancer studies. The software is being extended for patient care application in a molecular tumor board by the MIRACUM consortium within the Medical Informatics Initiative Germany. A key feature for this use case is the ability to enter therapy recommendations for individual patients, which requires interoperability with the hospital information system. A RESTful interface between cBioPortal and an external mediation layer was selected from the different implementation options. It achieves interoperability by using a FHIR capable server to store data and applying the HL7 FHIR Genomics Reporting implementation guide. For systems not supporting the FHIR standard, the well-established HL7 Version 2 standard is available as a fallback export format.
GAN-Based Prediction of Time Series
Authors: Festag Sven , Spreckelsen Cord
Published: May 2021

The study aims at generating initial and directional insights in the applicability of conditional recurrent generative adversarial nets for the imputation and forecasting of medical time series data. Our experiment with blood pressure series showed that a generative recurrent autoencoder exhibits significant individual learning progress but needs further tuning to benefit from joint training.
A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things
Authors: Farhad Arshad , Woolley Sandra I. , Andras Peter
Published: May 2021

This paper presents a scoping review of federated learning for the Internet of Medical Things (IoMT) and demonstrates the limited amount of research work in an area which has potential to improve patient care. Federated Learning and IoMT – as standalone technologies – have already proved to be highly disruptive but there is a need for further research to apply federated learning to the IoMT.
An Automated Approach to Differentiate Drug Resistant Tuberculosis in Chest X-ray Images Using Projection Profiling and Mediastinal Features
Authors: Tulo Sukanta Kumar , Ramu Palaniappan , Swaminathan Ramakrishnan
Published: May 2021

In this study, an attempt has been made to differentiate Drug Resistant Tuberculosis (DR-TB) in chest X-rays using projection profiling and mediastinal features. DR-TB is a condition which is non-responsive to at least one of anti-TB drugs. Mediastinum variations can be considered as significant image biomarkers for detection of DR-TB. Images are obtained from a public database and are contrast enhanced using coherence filtering. Projection profiling is used to obtain the feature lines from which the mediastinal and thoracic indices are computed. Classification of Drug Sensitive (DS-TB) and DR-TB is performed using three classifiers. Results show that the mediastinal features are found to be statistically significant. Support vector machine with quadratic kernel is able to provide better classification performance values of greater than 93%. Hence, the automated analysis of mediastinum could be clinically significant in differentiation of DR-TB.
A COVID-19 Decision Support System for Phone Call Triage, Designed by and for Medical Students
Authors: Vrel Jean-Patrick , Oulmane Samy , Boukobza Adrien , Burgun Anita , Tsopra Rosy
Published: May 2021

During spring 2020, SARS-CoV-2 pandemic induced shortage of medical equipment, hospital capacity and staff. To tackle this issue, medical students have been strongly involved in early patient triage through medical phone call regulation. Here, we present an intelligent web-based decision support system for COVID-19 phone call regulation, developed by and for, medical students to help them during this difficult but crucial task. The system is divided into 5 tabs. The first tab displays administrative information, clinical data related to life-threatening emergency, and personalized recommendations for patient management. The second tab displays a PDF report summarizing the clinical situation; the third tab displays the guidelines used for establishing the recommendations, and the fourth tab displays the overall algorithm in the form of a decision tree. The fifth tab provided a short user guide. The system was assessed by 21 medical staff. More than 90% of them appreciated the navigation and the interface, and found the content relevant. 90,5% of them would like to use it during the medical regulation. In the future, we plan to use this system during simulation-based medical learning for the initial medical training of medical students.
Evaluation of a Clinical Decision Support System in the Domain of Chronic Wound Management
Authors: Vogel Stefan , Richter Jendrik , Wache Stefanie , Pischek-Koch Kerstin , Auchter Simone , Zebbities Sebastian , Güttler Karen , Hübner Ursula , Pryzsucha Mareike , Hüsers Jens , Sellemann Björn
Published: May 2021

The PosiThera project focuses on the management of chronic wounds, which is multi-professional and multi-disciplinary. For this context, a software prototype was developed in the project, which is intended to support medical and nursing staff with the assistance of artificial intelligence. In accordance with the user-centred design, national workshops were held at the beginning of the project with the involvement of domain experts in wound care in order to identify requirements and use cases of IT systems in wound care, with a focus on AI. In this study, the focus was on involving nursing and nursing science staff in testing the software prototype to gain insights into its functionality and usability. The overarching goal of the iterative testing and adaptation process is to further develop the prototype in a way that is close to care.
Preliminary Qualitative Evaluation of Patient-Related Perspectives Related to the Implementation of a Predictive Algorithm in a Telehealth System for COPD
Authors: Bender Clara , Hangaard Stine , Kronborg Thomas , Hejlesen Ole Kristian , Secher Pernille Heyckendorff
Published: May 2021

The aim of the present study was to evaluate patient-related perspectives from a five-week test of the implementation of a COPD prediction algorithm. The test intended to discover and avoid potential errors prior to testing the COPD prediction algorithm in a two-armed randomized controlled trial (RCT). The COPD prediction algorithm aims to predict exacerbations in COPD based on home measurements. In the present study, the algorithm was implemented in a currently deployed telehealth system. Five weeks after implementation, six interviews were conducted, including five interviews with patients with COPD and one interview with a specialized COPD nurse. The participants were overall satisfied with the telehealth system including the COPD prediction algorithm. However, technical issues must be addressed before the COPD prediction algorithm is ready to be tested in the RCT. Moreover, communication with the monitoring nurses should be clearer based on the COPD nurse’s experiences. In conclusion, the participants were satisfied with the integration of the COPD prediction algorithm in the telehealth system. The identification of technical issues shows the importance of including a technical test period in a similar trial setup.
Pharmacovigilance and Clinical Environment: Utilizing OMOP-CDM and OHDSI Software Stack to Integrate EHR Data
Authors: Dimitriadis Vlasios K. , Gavriilidis George I. , Natsiavas Pantelis
Published: May 2021

Information Technology (IT) and specialized systems could have a prominent role towards the support of drug safety processes, both in the clinical context but also beyond that. PVClinical project aims to build an IT platform, enabling the investigation of potential Adverse Drug Reactions (ADRs). In this paper, we outline the utilization of Observational Medical Outcomes Partnership – Common Data Model (OMOP-CDM) and the openly available Observational Health Data Sciences and Informatics (OHDSI) software stack as part of PVClinical platform. OMOP-CDM offers the capacity to integrate data from Electronic Health Records (EHRs) (e.g., encounters, patients, providers, diagnoses, drugs, measurements and procedures) via an accepted data model. Furthermore, the OHDSI software stack provides valuable analytics tools which could be used to address important questions regarding drug safety quickly and efficiently, enabling the investigation of potential ADRs in the clinical environment.
Comparing SDTM and FHIR® for Real World Data from Electronic Health Records for Clinical Trial Submissions
Authors: Riepenhausen Sarah , Mertens Cornelia , Dugas Martin
Published: May 2021

Real world data for use in clinical trials is promising. We compared the SDTM for clinical trial data submission with FHIR® for routine documentation. After categorization of variables by relevance, clinically relevant SDTM items were mapped to FHIR®. About 30% in both were seen as clinically relevant. The majority of these SDTM items were mappable to FHIR® Observation resource.
IT Evaluation of Foundation Healthcare Group Vanguard Project
Authors: Tapuria Archana , Kordowicz Maria , Ashworth Mark , Ferlie Ewan , Curcin Vasa , Koleva-Kolarova Rositsa , Fox-Rushby Julia , Edwards Sylvia , Crilly Tessa , Wolfe Charles
Published: May 2021

The aim of the Foundation Healthcare Group (FHG) Vanguard model was to develop a sustainable local hospital model between two National Health Service (NHS) Trusts (a London Teaching Hospital Trust and a District General Hospital Trust) that makes best use of scarce resources and can be replicated across the NHS, UK. The aim of this study was to evaluate the provision, use and implementation of the IT infrastructure; based on qualitative interviews and focused mainly on the perspectives of the IT staff and the clinicians’ perspectives. In total 24 interview transcripts, along with ‘Acute Care Collaboration’ questionnaire responses, were analysed using a thematic framework for IT infrastructure, sharing themes across the vascular, paediatric and cardiovascular strands of the FHG programme. Findings indicated that Skype for Business had been an innovative and helpful development widely available to be used between the two Trusts. Clinicians initially reported lack of IT support and infrastructure expected at the outset for a national Vanguard project, but later appreciated that remote access to most clinical applications between the two Trusts became operational. The Local Care Record (LCR), an IT project was perceived to have been delivered successfully in South London. Shared technology reduced patient travelling time by providing locally based shared care. Spreading and scaling-up innovations from the Vanguard sites was the aspiration and challenge for system leaders.
Analysing the Selection of Appropriate Technical Solutions for Nurses in a Clinical Setting
Authors: Hechtel Nicole , Krückeberg Jörn , Sebastião Maria , Klawunn Ronny
Published: May 2021

This work focuses the selection of technical solutions for professional nursing in a clinical setting. For a participatory approach the needs of the nursing staff are queried and analysed. Supplemented by data of patients a baseline for the selection of technical solutions is created.
Study into COVID-19 Crisis Using Primary Care Mental Health Consultations and Prescriptions Data
Authors: Lemanska Agnieszka , Hoang Uy , Jeffreys Nathan , Bankhead Clare , Bhui Kam , Ferreira Filipa , Harcourt Sally , James Anthony , Liyanage Harshana , Nicholson Brian D. , Sherlock Julian , Smith Gillian , Smith Nadia A.S. , Thomas Spencer A. , Williams John , De Lusignan Simon
Published: May 2021

The effect of the 2020 pandemic, and of the national measures introduced to control it, is not yet fully understood. The aim of this study was to investigate how different types of primary care data can help quantify the effect of the coronavirus disease (COVID-19) crisis on mental health. A retrospective cohort study investigated changes in weekly counts of mental health consultations and prescriptions. The data were extracted from one the UK’s largest primary care databases between January 1st 2015 and October 31st 2020 (end of follow-up). The 2020 trends were compared to the 2015-19 average with 95% confidence intervals using longitudinal plots and analysis of covariance (ANCOVA). A total number of 504 practices (7,057,447 patients) contributed data. During the period of national restrictions, on average, there were 31% (3957 ± 269, p < 0.001) fewer events and 6% (4878 ± 1108, p < 0.001) more prescriptions per week as compared to the 2015-19 average. The number of events was recovering, increasing by 75 (± 29, p = 0.012) per week. Prescriptions returned to the 2015-19 levels by the end of the study (p = 0.854). The significant reduction in the number of consultations represents part of the crisis. Future service planning and quality improvements are needed to reduce the negative effect on health and healthcare.
Digital Health in the Management of Pediatric Growth Hormone Therapy – 10 Years of Developments
Authors: Koledova Ekaterina , Le Masne Quentin , Spataru Amalia , Bagha Merat , Dixon David
Published: May 2021

Growth hormone administration is approved for use in a number of growth failure conditions in children. Optimal growth outcome requires continuous daily injections over many years, leading to problems of persistence and adherence with therapy. The easypod™ connect ecosystem enables electronic monitoring of injection and dose history, transmitted to a secure cloud database via the internet or cellular networks. Thus, healthcare providers can easily monitor adherence with therapy and be alerted to problems. The growlink™ patient app has been added to the ecosystem to provide solutions that can engage and educate patients and their families/caregivers. growlink™ also allows patients to self-report height and weight, enabling healthcare providers to track growth progression. The patient support program, TuiTek and the easypod™ Augmented Reality (AR) app are being developed within the ecosystem to support telehealth services, increase disease awareness and reduce therapy-related anxiety. easypod™ connect provides objective assessments of adherence, shown to be maintained at a high level over several years, and analyses showed that increased adherence was significantly associated with a better growth outcome. Studies have identified factors that influence persistence and adherence with GH therapy via the easypod™ connect ecosystem. These novel technologies are generating solutions that enable data-driven personalized care for children with growth disorders and optimize long-term clinical outcomes.
Emergency Remote Learning in Nursing Education During the COVID-19 Pandemic
Authors: Jeon Eunjoo , Peltonen Laura-Maria , Block Lorraine , Ronquillo Charlene , Tayaben Jude L. , Nibber Raji , Pruinelli Lisiane , Perezmitre Erika Lozada , Sommer Janine , Topaz Maxim , Eler Gabrielle Jacklin , Shishido Henrique Yoshikazu , Wardaningsih Shanti , Sutantri Sutantri , Ali Samira , Alhuwail Dari , Abd-Alrazaq Alaa , Akhu-Zaheya Laila , Lee Ying-Li , Shu Shao-Hui , Lee Jisan
Published: May 2021

Due to the corona (COVID-19) pandemic, several countries are currently conducting non-face-to-face education. Therefore, teachers of nursing colleges have been carrying out emergency remote education. This study developed a questionnaire to understand the status of Emergency Remote Learning (ERL) in nursing education internationally, translated it into 7 languages, and distributed it to 18 countries. A total of 328 nursing educators responded, and the most often used online methods were Social networking technology such as Facebook, Google+ and Video sharing platform such as YouTube. The ERL applied to nursing education was positively evaluated as 3.59 out of 5. The results of the study show that during the two semesters nursing college professors have well adapted to this unprecedent crisis of teaching. The world after COVID-19 has become a completely different place, and nursing education should be prepared for ‘untact’ education.
Delivering WHO’s Life-Saving Information in Real-Time During a Pandemic Through an Online Learning Platform: Evidence from Global Use
Authors: Utunen Heini , George Richelle , Ndiaye Ngouille , Tokar Anna , Attias Melissa , Gamhewage Gaya
Published: May 2021

Accessibility, multilingualism and real-time knowledge transfer are the tenets of the OpenWHO learning platform. A descriptive analysis was conducted using anonymised statistical datasets retrieved from the OpenWHO reporting system to understand global use trends. When examining OpenWHO use in the areas with the highest burden of COVID-19 cases, a strong correlation was identified between the burden of COVID-19 and OpenWHO user activity. Further, health professionals are the top users of COVID-19 materials. The massive demand for OpenWHO courses confirms the need for real-time learning materials in accessible, multilingual formats during a pandemic. Learning is a global public good and is an essential component of the response to health emergencies.
Obstacles to Using Assistive Technology for Older Adults – Results from a Focus Group Analysis
Authors: Fotteler Marina , Risch Beate , Gaugisch Petra , Furmanek Jan-Lukas , Swoboda Walter , Mayer Sarah , Kohn Brigitte , Dallmeier Dhayana , Denkinger Michael
Published: May 2021

Much hope is placed in the use of assistive technologies (AT) to support older adults and retain their independence and quality of life. AT could also be a way to help fulfill the increasing requirements of caring for an aging population. While many devices are freely available, successful and broad adoption is progressing slowly. In a qualitative analysis, we investigated the popularity of AT and the willingness to and obstacles for use. Eleven older adults aged 62–85 participated in three groups, each focusing on a specific age-related case example. Using content analysis, statements have been categorized into three levels: the affected person, their surroundings, and supportive devices. Information (knowledge, consultation) was the topic spoken about the most (n=101), followed by statements focusing on everyday life and the use of assistive devices (n=99). Comments on economic topics carried the least weight (n=28). The biggest obstacles for the reluctant adoption of AT don’t seem to be acceptance issues but rather a lack of knowledge of AT and where to get counseling. Thus, the provision and promotion of coherent information material and accessible consultation for users and relatives should be prioritized. AT training for healthcare professionals can provide further opportunities.
Use of e-Health by Healthcare Professionals vs. non-Healthcare Professionals
Authors: Wynn Rolf , Oyeyemi Sunday O. , Marco-Ruiz Luis , Budrionis Andrius , Yigzaw Kassaye Yitbarek , Bellika Johan G.
Published: May 2021

The role of e-health is increasing worldwide. We surveyed the use of e-health in a large-scale population-based study, involving a representative sample of the Norwegian population aged above 40 years. Two-thirds of the health professionals had used search engines, apps, social media or video services for health purposes – while this was the case for approximately half of the non-health professionals.
Integrated Infodemic Surveillance System: The Case of COVID-19 in South Korea
Authors: Park Gil-sung , Bae Jintae , Lee Jong Hun , Yun Byung Yeon , Lee Byunghwee , Shin Eun Kyong
Published: May 2021

This study merges multiple COVID-19 data sources from news articles and social media to propose an integrated infodemic surveillance system (IISS) that implements infodemiology for a well-tailored epidemic management policy. IISS is an à-la-carte infodemic surveillance solution that enables users to gauge the epidemic related consensus, which compiles epidemic-related data from multiple sources and equipped with various methodological toolkits – topic modeling, Word2Vec, and social network analysis. IISS can provide reliable empirical evidence for proper policymaking. We demonstrate the heuristic utilities of IISS using empirical data from the first wave of COVID-19 in South Korea. Measuring discourse congruence allows us to gauge the distance between the discourse corpus from different sources, which can highlight consensus and conflicts in epidemic discourse. Furthermore, IISS detects discrepancies between social concerns and main actors.
Construction of a Physical Factor Resource for Exposome Informatics Research
Authors: Hawthorne Christopher , Quigley Niamh , McClements Callum , Lopez-Campos Guillermo H.
Published: May 2021

Exposome research is focused on all the exposures individuals experience during their lifetime and how it shapes their health and development of disease. The chemical and biological aspects of the exposome are readily available in data formats. In comparison there is a lack of data frameworks available for physical factors (e.g. noise, lighting, electromagnetic fields) and their biological relationships which would allow a greater understanding of the contribution of the physical environment on disease development and burden. We present the construction of a prototype that captures knowledge on physical factors and their interactions with genes and diseases derived from the biomedical literature to reflect the physical exposome.
Zwischen Agonie und Aufbruch
Authors: Prasse Nick
Published: May 2021

Der Kulturbereich in den Vereinigten Staaten steht aktuell vor mehreren Herausforderungen: Historisch gewachsene Strukturen der Kulturfinanzierung stehen zunehmend in der Kritik, die Trump-Regierung strich öffentliche Kulturausgaben und die Covid-Pandemie verschärft die Existenzängste vieler Kulturschaffender. Der Artikel analysiert die gegenwärtigen Bedingungen und Entwicklungslinien US-amerikanischer Kulturpolitik. Wie stellt sich die soziale Lage der Kulturschaffenden dar? Lassen sich Korrelationen zwischen der überwiegenden Abwesenheit öffentlicher Kulturförderung und den Lebens- und Arbeitsbedingungen der Künstler*innen erkennen? Wie wirkt sich die Pandemie auf einen primär privatwirtschaftlich organisierten Kulturbereich aus? Welche politischen Reaktionen, Interessenkonstellationen und Mobilisierungen sind erkennbar?
Für oder gegen den Staat?
Authors: Gallaher Carolyn , Fox Jaclyn
Published: May 2021

In den letzten Jahren hat es auch auf der extremen Rechten einen Mobilisierungsschub gegeben. In dem Beitrag wird davon ausgegangen, dass eine Paramilitarisierung durch Milizen geschehen konnte, die mit »Weißen Nationalisten« gemeinsame Sache machen oder als Vollstrecker für Donald Trump und verbündete republikanische Politiker agieren würden. Tatsächlich scheinen alle rechtsextremen Gruppen am 6. Januar 2021 beim Angriff auf das Kapitol Trump als denjenigen gesehen zu haben, der zentrale Befehle geben würde. Das ist nicht geschehen. Aber die Beteiligung von so vielen »überzeugten Gläubigen« bei dieser Aktion macht die Frage nach der Paramilitarisierung noch dringlicher. Die Beteiligten könnten eine kritische Masse für künftige Bemühungen bieten, Pro-Trump-Paramilitärs jenseits der organisierten Gruppen entstehen zu lassen.
PENERAPAN METODE PERSEDIAAN DALAM PERENCANAAN PAJAK
Authors: Sonu Sri Sunarni , Budiarso Novi Swandari
Published: May 2021

Inventories are generally owned and used by companies for sale, for normal business operations, or for goods that are to be used or consumed in making goods for sale. There are two methods that can be used by taxpayers in assessing inventory and using inventory to calculate the cost of goods sold namely the first in first out method and the average method. The use of the FIFO method will result in a smaller cost of goods sold than the Average method so that the company's net income will be greater and the tax burden that must be borne by taxpayers is also greater. While the use of the Average method will result in a smaller profit margin so that for tax burden efficiency it is more effective to use the average method than the FIFO method. In other words, the smaller the profit margin obtained, the smaller the amount of tax burden that must be paid.
ВЕДЕННЯ БУХГАЛТЕРСЬКОГО ОБЛІКУ В УМОВАХ ВПРОВАДЖЕННЯ СУЧАСНИХ ІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ
Authors: Бабінська Соломія
Published: May 2021

У статті розглянуто сутність технології блокчейн, її значення у процесі ведення бухгалтерського обліку на підприємстві. Визначено основні переваги та недоліки, які можуть виникнути при застосуванні технології блокчейн у процесі ведення бухгалтерського обліку на суб’єктах господарської діяльності. Запропоновано послідовність етапів впровадження блокчейну у процес ведення бухгалтерського обліку та визначено завдання, які виникають на кожному з них. Передбачено такі етапи: розробляння, впровадження та використання. Перший етап (розробляння) полягає у формулюванні мети та завдань щодо впровадження даної технології. Після чого слід перейти до наступного етапу (впровадження), де важливим моментом є коригування внутрішніх нормативів ведення бухгалтерського обліку та організаційної структури на підприємстві. І останнім етапом (використання) є виконання усіх робіт від захисту інформації до розподілу доступу і відповідальності за здійснювані процеси.
КОНЦЕПТУАЛЬНІ ОСНОВИ ПОСТІНДУСТРІАЛЬНОГО ЕТАПУ РОЗВИТКУ ЕКОНОМІЧНОЇ СИСТЕМИ: ТЕОРЕТИЧНІ ЗАСАДИ
Authors: Черничко Тетяна , Козик Ірина
Published: May 2021

Стаття присвячена актуальним питанням визначення теоретичних основ постіндустріального типу розвитку економічної системи. Проведено критичний аналіз позицій провідних вчених щодо сутнісних характеристик постіндустріальної економіки. Обґрунтовується, що наукові витоки теорії постіндустріального типу розвитку ґрунтуються на концептуальних положеннях теорії постіндустріального суспільства Белла. Проведено дослідження основних етапів періодизації розвитку суспільства на основі хвильової теорії Елвіна Тоффлера. Окреслено основні риси, визначено рушійні сили та чинників формування, наведено характеристику третього етапу розвитку – постіндустріального суспільства. Зроблено висновок, що суспільство постіндустріального типу з’являється та розвивається не внаслідок еволюційних законів або специфічних історичних подій, а як результат впливу суспільства самого на себе.
Water deficit in the soybean breeding
Authors: Pimentel João Roberto , Carvalho Ivan Ricardo , Troyjack Cristian , Junior Gilberto Troyjack , Szareski Vinicius Jardel , Conte Giordano Gelain , Loro Murilo Vieira , Magano Deivid Araújo , Hutra Danieli Jacoboski
Published: May 2021

The climate unpredictability causes long periods of drought, becoming the main risk factor in soybeans production fields and consequent losses to farmers in Brazil and worldwide. As sessile organisms, plants are constantly challenged by a wide range of environmental stresses, including drought. Growth constraints and stress due to these environmental changes result in reduced yield and significant harvesting losses. The response to abiotic stresses is a very complex phenomenon, since several stages of plant development can be affected by a particular stress and often several stresses affect the plant simultaneously. In order to mitigate the damages caused by the climate, new soybean cultivars adapted to the drought and the diversified climate are necessary, as well as technological advances in the production of soybeans that must advance with the increase of cultivated area. Therefore, the mechanisms underlying tolerance and adaptation to stress have been the focus of intensive research. In this sense, the objective of this review is to provide an overview of the evolution of genetic improvement regarding the search for more drought-tolerant cultivars, as well as to verify which strategies are used in the genetic improvement of soybean in the search of these genotypes.
ДЕТЕРМІНІЗМ Е. ДЮРКГЕЙМА В ТЕОРІЇ ПЕДАГОГІКИ І ОСВІТИ
Authors: Сізов В. В. , Славська Я. А. , Бондаренко О. А.
Published: May 2021

У статті аналізуються педагогічні погляди Е. Дюркгейма, що були викладені у виданні «Освіта та соціологія». Відзначається, що педагогічний детермінізм Дюркгейма – це закони розвитку суспільства, які безпосередньо визначають характер освіти, місце та роль у ньому педагогіки. Виявлено, що детермінізм Дюркгейма в теорії освіти має певні межі і визначається основними елементами діалектики, а саме: цілі освіти і культурно-історичний елемент, який містить такі складові, як історія національної педагогіки та вплив суспільства і соціального середовища. Особливий елемент теорії освіти Дюркгейма пов'язується з поняттям національного менталітету. Діалектично всі елементи та складові частини освітньої теорії Дюркгейма формують освітню культуру суспільства. Відзначено, що у Дюркгейма цілі освіти – це її сенс, а культурно-історичний елемент – це обов’язкова умова реалізації цілей; соціальне середовище не є абстрактним явищем, але є конкретно вираженим у специфіці групових соціально-культурних відносин людини особливим простором, який формує особистість і є включеним у систему освіти як компонент культурно-історичного фактору; менталітет – сфера несвідомого, визначеного попередніми етапами культурного розвитку, що й є комплексом стійкої мотивації особистісної та групової поведінки. Імплікативно, виділені елементи педагогічних ідей Дюркгейма дають привід їх поєднати і назвати «Культурно-історичною теорією освіти Е. Дюркгейма». Культурно-історичний компонент в теорії Дюркгейма у сфері освіти і педагогіки, який використовується сьогодні як методологічна основа вивчення і створення конструкції освіти в національному суспільстві, міг би сам по собі володіти ціннісними характеристиками, протидіяти руйнуванню національної свідомості і закладати основи для його збереження та безболісної адаптації. Відзначено, що ідея Дюркгейма полягає в тому, що свідомість повинна бути здатною природним чином сприймати інновацію. Інновація позитивно сприймається свідомістю і забезпечується несвідомим, при цьому обидва чинники виходять з культурно-історичних традицій. Отже, інновація – результат еволюційного природного процесу, вона не відторгається практикою і утворює в повній мірі повноцінний елемент освітньої культури суспільства.
ФОРМУВАННЯ СОЦІАЛЬНО-КОМУНІКАТИВНОЇ КОМПЕТЕНТНОСТІ МАЙБУТНІХ ФАХІВЦІВ СОЦІАЛЬНОЇ СФЕРИ
Authors: Стьопкіна А. С. , Трубник І. В.
Published: May 2021

У статті обґрунтовано актуальність формування соціально-комунікативної компетентності майбутніх фахівців соціальної сфери (спеціальності «Соціальна робота», «Соціальне забезпечення»), наведено соціально-комунікативні компетенції, зазначені в освітніх програмах відповідних спеціальностей. Автори пропонують застосовувати методи та прийоми проблемного навчання в процесі вивчення дисципліни «Соціально-комунікативний розвиток особистості» та інших фахових дисциплін з метою формування соціально-комунікативних компетенцій. Описують вимоги до проблемних ситуацій, їх будову, основні складові, умови ефективного вирішення проблемних ситуацій (питань, завдань), ступені складності проблемних ситуацій, етапи вирішення проблеми та інші особливості вирішення проблемних ситуацій професійного або науково-пошукового характеру в умовах аудиторної роботи з майбутніми фахівцями соціальної сфери; наводять конкретні приклади проблемних ситуацій.

Автори доводять, що використання проблемних ситуацій у процесі формування соціально-комунікативної компетентності сприяє активізації соціальної взаємодії спочатку на заняттях, а потім з партнерами іншого соціокультурного середовища. У результаті сформована соціально-комунікативна компетентність розвиває не тільки комунікативні вміння, а й сприяє розвитку компетенцій соціальної взаємодії, розвитку творчих умінь здобувачів у межах компетентнісної парадигми сучасної освіти. Даний напрям сучасної освіти ефективно впливає на розвиток творчої особистості, яка вміє ставити і вирішувати проблеми соціального і професійного характеру.