bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship between Work-Family Conflict and Job Satisfaction of Female Teachers of Universities
Authors: Kashif Mahvish Fatima , Rehman Sadia
Published: May 2021

The present correlation study was aimed to examine the relationship between work-family conflict and job satisfaction among female teachers in the universities of Lahore. The population of the study was female teachers of public and private universities in Lahore City. The total number of female university teachers was one thousand four hundred and ninetyseven. Four hundred and fifty female university teachers (30% of the total population) were selected as a sample of the study. The questionnaire developed by Carlson, Kacmar, & Wayne (2000) was used to measure work-family conflict, and the questionnaire developed by Hayat (1998) was used to measure job satisfaction. Multiple regression, independent sample t-test and one-way ANOVA were used to analyze the data. Independent sample t-test was applied to compare the two groups, such as type of institution, and One-way ANOVA was used to compare the groups on the basis of designation of the teachers. Major findings revealed that there was a significant and negative relationship between work-family conflict and job satisfaction. It was recommended that training, seminars should be arranged for teachers to deal with their work and familyrelated problems.
Preliminary Analysis of Structured Reporting in the HiGHmed Use Case Cardiology: Challenges and Measures
Authors: Kindermann Aljoscha , Tute Erik , Benda Sebastian , Löpprich Martin , Richter-Pechanski Phillip , Dieterich Christoph
Published: May 2021

The HiGHmed consortium aims to create a shared information governance framework to integrate clinical routine data. One challenge is the replacement of unstructured reporting (e.g. doctoral letters) with structured reporting in clinical routine. The Heidelberg cardiology department evaluates dynamic PDF forms for structured data reporting of heart failure (HF) patients. In this use case, we aim to identify potential caveats or shortcomings in data processing at an early stage. We employed data mining strategies to detect patterns related to incomplete or false data, which we found to be present among all data types. We then discuss the characteristics of the baseline patient cohort in Heidelberg to find out about specific peculiarities and potential biases, which may be site-specific. Briefly, our patient population is predominantly male (67%), NYHA I & II are the most common severity classes, NYHA IV is missing entirely. Most patients have a dilated cardiomyopathy (DCM) or coronary heart disease (CHD) diagnosed as their cause of HF. Finally, we also analyzed how comorbidities and risk factors relate to specific disease entities of heart failure patients. Family anamnesis was more frequent among cardiomyopathy patients than among CHD patients, who show a more dominating presence of dyslipidemia instead. Generally, the most dominant risk factor was arterial hypertension, while at the other end of the scale alcoholism appears to be underreported.
A Multi-User Terminology Mapping Toolbox
Authors: Mate Sebastian , Seuchter Susanne A. , Ehrenberg Katharina , Deppenwiese Noemi , Zierk Jakob , Prokosch Hans-Ulrich , Kraska Detlef , Kapsner Lorenz A.
Published: May 2021

Semantic interoperability is a major challenge in multi-center data sharing projects, a challenge that the German Initiative for Medical Informatics is taking up. With respect to laboratory data, enriching site-specific tests and measurements with LOINC codes appears to be a crucial step in supporting cross-institutional research. However, this effort is very time-consuming, as it requires expert knowledge of local site specifics. To ease this process, we developed a generic manual collaborative terminology mapping tool, the MIRACUM Mapper. It allows the creation of arbitrary mapping workflows involving different user roles. A mapping workflow with two user roles has been implemented at University Hospital Erlangen to support the local LOINC mapping. Additionally, the MIRACUM LabVisualizeR provides summary statistics and visualizations of analyte data. We developed a toolbox that facilitates the collaborative creation of mappings and streamlines the review as well as the validation process. The two tools are available under an open source license.
Reproducible Transport of Information
Authors: Orthuber Wolfgang
Published: May 2021

Reproducible information is important in science, medicine and other professional fields. Repeating the same experiment with measurement should yield the same information as the result. This original information should also be transported digitally in reproducible form, as a globally well-defined sequence of numbers. The article explains that “Domain Vectors” (DVs) with the structure “UL plus sequence of numbers” are well suited for this purpose. “UL” is an efficient link to the online definition of the sequence of numbers. DVs are globally comparable and searchable and have other important advantages. It is concluded that DVs can fill an important gap in the digital representation of information.
APERITIF – Automatic Patient Recruiting for Clinical Trials Based on HL7 FHIR
Authors: Banach Alexandra , Ulrich Hannes , Kroll Björn , Kiel Alexander , Ingenerf Josef , Kock-Schoppenhauer Ann-Kristin
Published: May 2021

Clinical trials are carried out to prove the safety and effectiveness of new interventions and therapies. As diseases and their causes continue to become more specific, so do inclusion and exclusion criteria for trials. Patient recruitment has always been a challenge, but with medical progress, it becomes increasingly difficult to achieve the necessary number of cases. In Germany, the Medical Informatics Initiative is planning to use the central application and registration office to conduct feasibility analyses at an early stage and thus to identify suitable project partners. This approach aims to technically adapt/integrate the envisioned infrastructure in such a way that it can be used for trial case number estimation for the planning of multicenter clinical trials. We have developed a fully automated solution called APERITIF that can identify the number of eligible patients based on free-text eligibility criteria, taking into account the MII core data set and based on the FHIR standard. The evaluation showed a precision of 62.64 % for inclusion criteria and a precision of 66.45 % for exclusion criteria.
openEHR Is FAIR-Enabling by Design
Authors: Frexia Francesca , Mascia Cecilia , Lianas Luca , Delussu Giovanni , Sulis Alessandro , Meloni Vittorio , Del Rio Mauro , Zanetti Gianluigi
Published: May 2021

The FAIR Principles are a set of recommendations that aim to underpin knowledge discovery and integration by making the research outcomes Findable, Accessible, Interoperable and Reusable. These guidelines encourage the accurate recording and exchange of data, coupled with contextual information about their creation, expressed in domain-specific standards and machine-readable formats. This paper analyses the potential support to FAIRness of the openEHR specifications and reference implementation, by theoretically assessing their compliance with each of the 15 FAIR principles. Our study highlights how the openEHR approach, thanks to its computable semantics-oriented design, is inherently FAIR-enabling and is a promising implementation strategy for creating FAIR-compliant Clinical Data Repositories (CDRs).
Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection
Authors: Kumar Himanshu , Ganapathy Nagarajan , Puthankattil Subha D. , Swaminathan Ramakrishnan
Published: May 2021

Emotions are essential for the intellectual ability of human beings defined by perception, concentration, and actions. Electroencephalogram (EEG) responses have been studied in different lobes of the brain for emotion recognition. An attempt has been made in this work to identify emotional states using time-domain features, and probabilistic random forest based decision fusion. The EEG signals are collected for this from an online public database. The prefrontal and frontal electrodes, namely Fp1, Fp2, F3, F4, and Fz are considered. Eleven features are extracted from each electrode, and subjected to a probabilistic random forest. The probabilities are employed to Dempster-Shafer’s (D-S) based evidence theory for electrode selection using decision fusion. Results demonstrate that the method suggested is capable of classifying emotional states. The decision fusion based electrode selection appears to be most accurate (arousal F-measure = 77.9%) in classifying the emotional states. The combination of Fp2, F3, and F4 electrodes yields higher accuracy for characterizing arousal (65.1%) and valence (57.9%) dimension. Thus, the proposed method can be used to select the critical electrodes for the classification of emotions.
Visualizing Food-Drug Interactions in the Thériaque Database
Authors: Lalanne Frédéric , Bedouch Pierrick , Simonnet Cyril , Depras Vincent , Bordea Georgeta , Bourqui Romain , Hamon Thierry , Thiessard Frantz , Mougin Fleur
Published: May 2021

This paper presents a prototype for the visualization of food-drug interactions implemented in the MIAM project, whose objective is to develop methods for the extraction and representation of these interactions and to make them available in the Thériaque database. The prototype provides users with a graphical visualization showing the hierarchies of drugs and foods in front of each other and the links between them representing the existing interactions as well as additional details about them, including the number of articles reporting the interaction. The prototype is interactive in the following ways: hierarchies can be easily folded and unfolded, a filter can be applied to view only certain types of interactions, and details about a given interaction are displayed when the mouse is moved over the corresponding link. Future work includes proposing a version more suitable for non-health professional users and the representation of the food hierarchy based on a reference classification.
Evaluating Site-Level Implementations of the HL7 FHIR Standard to Support eSource Data Exchange in Clinical Research
Authors: Garza Maryam Y. , Rutherford Michael W. , Adagarla Bhargav , Eisenstein Eric , Kumar Karan R. , Zimmerman Kanecia O. , Topaloglu Umit , Zozus Meredith
Published: May 2021

Direct extraction and use of electronic health record (EHR) data is a long-term and multifaceted endeavor that includes design, development, implementation and evaluation of methods and tools for semi-automating tasks in the research data collection process, including, but not limited to, medical record abstraction (MRA). A systematic mapping of study data elements was used to measure the coverage of the Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) standard for a federally sponsored, pragmatic cardiovascular randomized controlled trial (RCT) targeting adults. We evaluated site-level implementations of the HL7® FHIR® standard to investigate study- and site-level differences that could affect coverage and offer insight into the feasibility of a FHIR-based eSource solution for multicenter clinical research.
ICIPEMIR: Improving the Completeness, Interoperability and Patient Explanations of Medical Imaging Reports
Authors: Lauriot Dit Prevost Arthur , Trencart Marie , Gaillard Vianney , Bouzille Guillaume , Besson Rémi , Sharma Dyuti , Puech Philippe , Chazard Emmanuel
Published: May 2021

Introduction: Although electronic health records have been facilitating the management of medical information, there is still room for improvement in daily production of medical report. Possible areas for improvement would be: to improve reports quality (by increasing exhaustivity), to improve patients’ understanding (by mean of a graphical display), to save physicians’ time (by helping reports writing), and to improve sharing and storage (by enhancing interoperability). We set up the ICIPEMIR project (Improving the completeness, interoperability and patients explanation of medical imaging reports) as an academic solution to optimize medical imaging reports production. Such a project requires two layers: one engineering layer to build the automation process, and a second medical layer to determine domain-specific data models for each type of report. We describe here the medical layer of this project. Methods: We designed a reproducible methodology to identify -for a given medical imaging exam- mandatory fields, and describe a corresponding simple data model using validated formats. The mandatory fields had to meet legal requirements, domain-specific guidelines, and results of a bibliographic review on clinical studies. An UML representation, a JSON Schema, and a YAML instance dataset were defined. Based on this data model a form was created using Goupile, an open source eCRF script-based editor. In addition, a graphical display was designed and mapped with the data model, as well as a text template to automatically produce a free-text report. Finally, the YAML instance was encoded in a QR-Code to allow offline paper-based transmission of structured data. Results: We tested this methodology in a specific domain: computed tomography for urolithiasis. We successfully extracted 73 fields, and transformed them into a simple data model, with mapping to a simple graphical display, and textual report template. The offline QR-code transmission of a 2,615 characters YAML file was successful with simple smartphone QR-Code scanner. Conclusion: Although automated production of medical report requires domain-specific data model and mapping, these can be defined using a reproducible methodology. Hopefully this proof of concept will lead to a computer solution to optimize medical imaging reports, driven by academic research.
Towards a Knowledge Graph-Based Explainable Decision Support System in Healthcare
Authors: Rajabi Enayat , Etminani Kobra
Published: May 2021

The decisions derived from AI-based clinical decision support systems should be explainable and transparent so that the healthcare professionals can understand the rationale behind the predictions. To improve the explanations, knowledge graphs are a well-suited choice to be integrated into eXplainable AI. In this paper, we introduce a knowledge graph-based explainable framework for AI-based clinical decision support systems to increase their level of explainability.
Evaluating Complexity of Digital Learning in a Multilingual Context: A Cross-Linguistic Study on WHO’s Emergency Learning Platform
Authors: Zhao Yu , Samo Giuseppe , Utunen Heini , Stucke Oliver , Gamhewage Gaya
Published: May 2021

Reproduction of knowledge, especially tacit knowledge can be expensive during a pandemic. One of the most common causes is the reduced information accessibility during the translation process. Having the ability to assess the linguistic complexity of any given contents could potentially improve knowledge reproduction. Authors conduct two cross-linguistic studies on the World Health Organization (WHO)’s emergency learning platform to assess the linguistic complexity of two online courses in 10 languages. Morpho-syntactically annotated treebanks, unannotated materials from Wikipedia and language-specific corpora are set as control groups. Preliminary findings reveal a clear reduced complexity of learning contents in the most candidate languages while retaining the maximum amount of information. Creating a baseline study on low-resourced languages on the learning genre could be potentially useful for measuring impact of normative products at country and local level.
Investigating the Success of “Asklepieio Voulas” Hospital Information System
Authors: Thanos Loukas , Gallos Parisis , Zoulias Emmanouil , Mantas John
Published: May 2021

Hospital Information Systems assessment is important to ensure the quality of provided healthcare services. This research evaluates the success of the clinical information system used in the General Hospital “Asklepieio Voulas”. A questionnaire was developed based on the DeLone & McLean information systems success model, and used on February 2020, to record the users’ opinions regarding the information system. The reliability of the questionnaire was tested by applying Cronbach’s alpha analysis, descriptive statistics was calculated for all variables of the questionnaire, and new variables was created to investigate the relationships between the model’s factors. Correlation analysis between the factors and linear multiple regression analysis between some of the factors of the DeLone & McLean success model were conducted 218 users responded to the survey, 56.3% of them were medical doctors, 24.1% nurses, and 19.6% other staff of the hospital. Results highlight that the users of the system are satisfied with it. A77.3% of the participants believe that they perform their work more easily when using the system, while 89.3% of the participants believe that the system is useful in their work. According to the results of the model, system quality and information quality seems to be related with the system usage. Information quality plays the most important role in the use of the system while the system quality plays the most important role in user satisfaction. Based on the users’ opinions, the “Asklepieio Voulas” Hospital Information System can be assumed as successful.
FAIRifying Clinical Studies Metadata: A Registry for the Biomedical Research
Authors: Meloni Vittorio , Sulis Alessandro , Mascia Cecilia , Frexia Francesca
Published: May 2021

The data produced during a research project are too often collected for the sole purpose of the study, therefore hindering profitable reuse in similar contexts. The growing need to counteract this trend has recently led to the formalization of the FAIR principles that aim to make (meta)data Findable, Accessible, Interoperable and Reusable, for humans and machines. Since their introduction, efforts are ongoing to encourage FAIR principles adoption and to implement solutions based on them. This paper reports on the FAIR-compliant registry we developed to collect and serve metadata describing clinical trials. The design of the registry is based on the FAIR Data Point (FDP) specifications, the state-of-the-art reference for FAIRified metadata sharing. To map the metadata relevant to our use case, we have extended the DCAT-based semantic model of the FDP adopting well-established ontologies in the biomedical and clinical domain, like the Semanticscience Integrated Ontology (SIO). Current implementation is based on the Molgenis software and provides both a user interface and a REST API for metadata discovering. At present the registry is being loaded with the metadata of the 18 clinical studies included in the ‘I FAIR Program’, a project finalised to the dissemination of FAIR best practices among the clinical researchers in Sardinia (Italy). After a testing phase, the registry will be publicly available, while the new model and the source code will be released open source.
Spatial Inequity in Access to Intensive Care Unit Beds at Regional Level in Italy
Authors: Pecoraro Fabrizio , Luzi Daniela , Clemente Fabrizio
Published: May 2021

The high demand of hospitalization in the intensive care units (ICUs) during the first wave of the COVID-19 outbreak brought out the critical issues of the limited capacity of the regional systems to deal with high patient inflows in a short period of time. In this view, a rapid and efficient reallocation of resources is one of the main challenges to be addressed by regional systems to prevent overload and saturation. Aim of this study is to assess the spatial accessibility of ICU beds in the 20 Italian regions to capture the equity distribution of critical care services across the country. This analysis may contribute to gain a deeper understanding of the allocation of health resources. It can provide input for policy makers in view of a possible reorganization of the national system in terms of both its preparedness for emergency period and routine capability.
Comparative Analysis of Public Data Sets to Identify Stemness Markers That Differentiate Liver Cancer Stem Cells
Authors: Borziak Kirill , Finkelstein Joseph
Published: May 2021

Cancer stem cells (CSCs) represent an important field in translational medicine for generating novel cancer treatments. To identify important stemness markers in liver CSCs that potentially explain their resistance to treatment, we analyzed 10865 single-cell RNA-seq samples across 42684 coding and non-coding genes. Our results show that CSCs have significantly increased expression of two Yamanaka factors (Oct4, 2.14X and SOX2, 1.13X) and three stemness factors (CD44, 3.25X; KRT7, 2.2X; SOX9, 1.71X), relative to liver progenitor cells. Our study demonstrates the potential power of harnessing shared big data for driving translational medicine for novel hypothesis generation.
High Engagement of Patients Monitored by a Digital Health Ecosystem Indicates Significant Improvements of Key r-hGH Treatment Metrics
Authors: Spataru Amalia , Quarteroni Silvia , Arnaud Lilian , van Dommelen Paula , Koledova Ekaterina , Le Masne Quentin
Published: May 2021

The early adoption of digital health solutions in the treatment of growth disorders has enabled the collection and analysis of more than 10 years of real-world data using the easypod™ connect platform. Using this rich dataset, we were able to study the impact of engagement on three key treatment-related outcomes: adherence, persistence of use, and growth. In total, data for 17,906 patients were available. The three features, regularity of injection (≤2h vs >2h), change of comfort setting (yes/no), and opting-in to receive injection reminders (yes/no), were used as a proxy for engagement. Patients were assigned to the low-engagement group (n=1,752) when all of their features had the low-engagement flag (>2h, no, no) and to the high-engagement group (n=1,081) when all of their features had the high-engagement flag (≤2h, yes, yes). The low-engagement group was down-sampled to 1,081 patients (subsample of n=37 for growth) using the iterative proportional fitting algorithm. Statistical tests were used to study the impact of engagement to the outcomes. The results show that all three outcomes were significantly improved by a factor varying from 1.8 up to 2.2 when the engagement level was high. These results should encourage the promotion of engagement and associated behaviors by both patients and healthcare professionals.
User-Centred Design of a Digital Care Plan for Patients and Professionals in Cross-Organisational Teams
Authors: Smaradottir Berglind F. , Severinsen Gro-Hilde , Steinsbekk Aslak , Berntsen Gro K.R.
Published: May 2021

Care for patients with multimorbidity and long-term complex needs is costly and with demographic changes this group is growing. The research project Dignity Care addresses how to improve the care for this patient group by studying how a conceptual shared digital care plan for complex clinical pathways can guide and support cross-organisational care teams. This paper presents the user-centred design process for the digital care plan development. Panels of patients and health care professionals will participate in co-creation user workshops and simulation of complex patients’ pathways. The main contribution from this work is recommendations for how to actively involve user groups in digital health development, applying a partly remote approach of user-centred design methodology during the Covid-19 pandemic.
Interoperability Architecture of the ADLIFE Patient Empowerment Platform
Authors: Erturkmen Gokce Banu Laleci ,   ADLIFE Consortium, Yuksel Mustafa , Baskaya Mert , Sarigul Bunyamin , Teoman Alper , Yilmaz Gökhan , de Manuel Esteban
Published: May 2021

Chronic diseases introduce challenges for the patients to manage the changing requirements of the disease. Patient empowerment activities are a critical component to assist patients in their long-term care journey. In order to be effective, patient empowerment tools need to be well-integrated with the chronic disease management tools used at the clinical sites. This paper explores and analyzes the exploitation of HL7 FHIR to design and implement an interoperable patient empowerment platform that can be seamlessly integrated with external chronic disease management and Electronic Health Record (EHR) systems
Quantifying Missingness in Wearable Heart Rate Recordings
Authors: Collins Tim , Woolley Sandra I. , Oniani Salome , Pandyan Anand
Published: May 2021

Wrist-worn photoplethysmography (PPG) heart rate monitoring devices are increasingly used in clinical applications despite the potential for data missingness and inaccuracy. This paper provides an analysis of the intermittency of experimental wearable data recordings. Devices recorded heart rate with gaps of 5 or more minutes 41.6% of the time and 15 or more minutes 3.8% of the time.
A Medical Report Feature for OSSE Rare Disease Registries
Authors: Schueler Katja , Zieschank Axel , Göbel Jens , Vasseur Jessica , Schaaf Jannik , Hohenfellner Katharina , Wildenhain Sarah , Storf Holger
Published: May 2021

Web-based patient registries support clinicians by providing a way to effectively store and process data. Here, we present a new feature for the open-source registry software OSSE: medical reports generated with R Markdown. As part of a rare disease research project, we describe the process from requirements assessment to the current state of technical implementation. The feature offers clinicians the possibility to download customised as well as generic reports from an OSSE rare disease registry.
Tinkering Around the Edges
Authors: Egger Lukas
Published: May 2021

Die Masseninhaftierung in den USA wurde in den letzten Jahren auch von Teilen der beiden Großparteien als Problem erkannt – allen voran von den Demokraten. Seit der Präsidentschaft Obamas kam es sowohl auf Bundesebene als auch in vielen Bundesstaaten zu Reformen, die sich insbesondere auf die Verringerung der Strafen fu?r minderschwere Drogendelikte konzentrierten. Als theoretische Grundlage dieses Fokus dient den ReformerInnen häufig eine Erzählung u?ber die Masseninhaftierung, die am prägnantesten von Michelle Alexander in ihrem Buch The New Jim Crow formuliert worden ist. Im Artikel wird eine Kritik an dieser Erzählung entwickelt und gezeigt, dass die Konzentration auf den »Krieg gegen die Drogen« ernsthaften Reformen des Systems der Strafjustiz im Weg steht.
A NATO afganisztáni szerepvállalása
Authors: Kováts Levente Sándor
Published: May 2021

A 2001. szeptember 11-i terrortámadás utáni afganisztáni  háború újabb lehetőséget biztosított a NATO számára, hogy az Észak-Atlanti régió határain túl is jelentős szerepet  vállaljon a nemzetközi biztonság javításában. Az ISAF hamar a szövetség legnagyobb műveletévé nőtte ki magát, és  befejeztével a NATO továbbra is, immár 17 éve, tevékenyen  részt vesz az afganisztáni helyzet rendezésében. A háború  kitörése óta a harmadik elnököt iktatják be az Amerikai  Egyesült Államokban. Mind a három elnök eltérő stratégiát  követett, ez pedig meghatározta a NATO stratégiáját is.
Proposta De Implementação Do Marketing Digital No Processo De Captação De Novos Alunos: Estudo De Caso Em Uma Empresa Do Segmento Educacional
Authors: Pinheiro Jhennifer Raquel da Silva , Lima Iedely Kyssia Ferreira , Coutinho Andrea Chagas , Almeida Victor da Silva , Roberto José Carlos Alves
Published: May 2021

O presente artigo busca analisar e implementar estratégias de marketing digital para a melhoria e funcionalidade de uma empresa do mercado educacional. Com o levantamento de dados na primeira fase do diagnóstico organizacional foi possível identificar que a área funcional do marketing da empresa x estava em situação crítica por ser de pequeno porte e a falta de conhecimento da importância do marketing para captação de novos alunos. A pesquisa teve como objetivo geral analisar e aplicar as estratégias do marketing digital, e suas ferramentas na escola e como objetivos específicos, identificar nos meios bibliográficos estratégias e melhores práticas de marketing digital para o segmento educacional e esquematizar uma estratégia de introdução das ferramentas de marketing digitais na organização. A ferramenta de qualidade que foi posto em prática é 5W2H, utilizando questões para a composição de planos de ações interventivas, ou seja, perguntas essenciais e respostas conforme a necessidade da empresa como: Elaborar estratégia de implementação do marketing digital no segmento educacional, propor a ferramenta benchmarking, implementar o inbound Marketing e aplicar treinamento da estratégia do marketing digital aos funcionários. Foi possível observar que as ações interventivas foram propostas mediante a ferramenta de qualidade que possibilita para instituição de ensino a promoção de melhorias no serviço e captação de novos alunos.
ЄВРОПЕЙСЬКА ПОЛІТИКА ЗГУРТУВАННЯ: КОНЦЕПТУАЛЬНІ ЗАСАДИ, ІМПЕРАТИВИ ДЛЯ УКРАЇНИ
Authors: Прокопчук Оксана , Ковальчук Олександр , Усюк Тетяна
Published: May 2021

У статті викладено результати дослідження концептуальних та прикладних основ європейської політики згуртування, що можуть бути успішно апробованими в умовах України. На основі використання сукупності індикаторів, що практикуються в країнах Європейського Союзу, здійснено аналіз економічного, соціального та територіального згуртування регіонів України. Їх комплексна оцінка доводить взаємозалежність та взаємообумовленість економічного, соціального та територіального згуртування. Встановлено, що для усіх адміністративних областей України характерним є низький рівень соціальної та територіальної згуртованості. Відповідно, інвестиційні пріоритети, визначені у політиці згуртування Європейського Союзу (інноваційність, екологічність, єдність, соціальна орієнтованість, наближеність до громадян), мають бути стратегічними імперативами регіональної політики України.
ВОЛИНЬ В ІСТОРІЇ ПРАВОСЛАВНОГО ПРОСВІТНИЦТВА (1900-1939 рр.): НАУКОВІ РОЗВІДКИ
Authors: Русин Г. А.
Published: May 2021

У статті проаналізовано історію православного просвітництва на Волині. Подано, що від початку свого існування Українська церква користувалась широкою автономією. З національно-державницьким рухом зростало й змагання за її незалежність. У XX ст. складовою цього процесу був національно-церковний рух на Волині. Православна церква посідає помітне місце в політичному, культурному й соціально-економічному житті українського народу. Тривалий період її роль у формуванні національної ідентичності українців штучно ігнорувалась, хоча церква завжди була вагомим засобом впливу на суспільну свідомість.

Зазначено, що православне духовенство зробило значний внесок у розвиток культурної сфери краю. Велику роль священники відводили підвищенню загального освітнього рівня, моральному вихованню своїх вірян, дослідженню історії своєї батьківщини та пам’яткоохоронній діяльності.

З’ясовано, що зміни режимів, політичних систем не змогли похитнути її авторитет, оскільки з нею асоціювалися духовні почуття людини. В періоди бездержавного існування українського народу церква підтримувала національно-творчі процеси і як суспільна організація з могутньою християнською ідеологією об’єднувала народ.

Значення Православної церкви у національно-політичних процесах усвідомлювала частина української інтелігенції та інших верств, розгорнувши в першій половині XX ст. боротьбу за повернення церковній організації національних ознак.

Тому вивчення історії Православної церкви має першорядне значення для відтворення цілісної картини минулого українського народу. Церковним процесам на Волині 20-40-х рр. XX ст. належить важлива роль у загальноукраїнському національно-визвольному русі та у відродженні Української держави і церкви.

Знання минулого Української церкви потрібні і для подолання багатьох штучних стереотипів, які перешкоджають формуванню в Україні демократичного громадянського суспільства. Церковно-історичні дослідження розкривають причини сучасної міжконфесійної напруженості, з’ясовують її витоки і навіть подають варіанти можливих виходів з неї.
ФОРМУВАННЯ У МАЙБУТНЬОГО ВЧИТЕЛЯ МУЗИЧНОГО МИСТЕЦТВА ВМІНЬ ХУДОЖНЬО-ПЕДАГОГІЧНОГО АНАЛІЗУ МУЗИЧНИХ ТВОРІВ
Authors: Боднарук І. М.
Published: May 2021

У статті розглядається процес формування вмінь художньо-педагогічного аналізу музичних творів під час вивчення студентами різних фахових музичних дисциплін. Досліджуються погляди науковців щодо визначення сутності та змісту поняття «художньо-педагогічний аналіз», його впливу на розвиток музичного сприймання школярів.

Визначаються основні педагогічні умови, які сприяють ефективному формуванню у майбутнього фахівця вмінь художньо-педагогічного аналізу музичних творів. До таких умов віднесено: забезпечення ґрунтовної музично-теоретичної підготовки студента; засвоєння студентом методичних знань щодо особливостей музичного сприймання учнів і специфіки організації з ними процесу слухання музики; професійно-педагогічну спрямованість викладання фахових музичних дисциплін; постійне закріплення набутих студентом вмінь у практичній діяльності.

Описуються основні форми роботи, які формують у майбутніх фахівців вміння художньо-педагогічного аналізу музичних творів. Виділяються найбільш типові недоліки при написанні студентами анотацій та здійсненні усного аналізу музичних творів під час аудиторних занять і проходження різних видів педагогічної практики. Наголошується на тому, що формування у студента вищезазначених вмінь має здійснюватися систематично протягом усього періоду навчання у закладі вищої освіти.
ПІДТРИМКА ОБДАРОВАНИХ ШКОЛЯРІВ В УКРАЇНІ ТА ЗАКОРДОНОМ: ПРОБЛЕМИ ПОРІВНЯЛЬНОГО АНАЛІЗУ
Authors: Алфімов В. М.
Published: May 2021

Стаття присвячена дослідженню проблем компаративістики у галузі педагогічної підтримки обдарованих школярів. Розкриті завдання, функції та фактори педагогічної підтримки обдарованих школярів в Україні та закордоном в контексті компаративістики. Підкреслено, що порівняльна педагогіка покликана об’єктивно вивчати міжнародний досвід становлення теорії і практики освіти. Це стосується й педагогіки обдарованості, основними завданнями якої є пояснення, передбачення і перевірка. Із цих завдань випливають такі її функції як пояснювальна, прогностична, критична та функція перенесення. Відмічається, що рекомендації компаративіста можуть впливати на політику в галузі досліджень і практики шкільної обдарованості у вітчизняній педагогіці, що не можна допускати неточностей у цих порадах. Рекомендації мають бути чіткими, зрозумілими виконавцям і адресовані керівникам освіти, шкільним управлінцям, педагогам, батькам та самим учням. Втім, розробляючи рекомендації, слід пам’ятати, що традиції, які склалися у тій чи іншій країні, не завжди можна переносити на національну систему освіти через рівень економічного розвитку країн, цінності народу тощо. Таксономія результатів, які мають бути враховані при аналізі педагогічної підтримки обдарованих учнів, має бути такою: освітня політика; організація підтримки (національний, регіональний, муніципальний, шкільний рівні); фінансування заходів; навчальні плани й навчальні програми, посібники (слід пам’ятати, що їх зміст в різних країнах орієнтується на різні філософські системи – прагматизм, раціоналізм, гуманізм тощо, різні педагогічні концепції); орієнтація змісту освіти. Також слід врахувати досвід підготовки педагогічних кадрів до роботи із обдарованими школярами, сімейне виховання, допомогу різноманітних благодійних фондів, позакласну роботу.
ПРОБЛЕМИ ДИСТАНЦІЙНОГО НАВЧАННЯ: ДОСВІД ТА ПЕРШІ ВИСНОВКИ
Authors: Зеленов Є. А. , Кобзарь М. В. , Теміров В. І.
Published: May 2021

В статті порушується питання щодо використання дистанційної форми навчання у якості повсякденної (неокласичної) практики освітнього процесу. Наголошується, що масове комунікативне розведення у просторі носія-передавача та отримувача навчальної інформації створює нову освітню парадигму, яка нівелює існуючу традиційну модель класно-аудиторного спілкування сторін. Стверджується, що всебічний перехід на дистанційну освіту суперечить самій сутності вищої школи, а саме: формуванню в рамках природно-наукового середовища повноцінної соціальної та інтелектуальної особистості. Попереджається, що дистанційна освіта ні в якому разі не повинна стати вище за традиційну, а має розглядатися лише як вимушена або допоміжна дія, обмежена часом і кількістю вправ. Визначені аспекти дослідження феномену дистанційного навчання: навчальний, соціальний, комерційний, технічний, цивілізаційний або гуманітарний. Проаналізований досвід дистанційного навчання в СНУ ім. В. Даля у період першого карантинного обмеження (весняний семестр 2020 р.). Відзначені основні віртуальні платформи і системи, задіяні у цьому процесі: MOODLE, Skype, Zoom, Discort, Big Blue Button conference. Виявлені ситуативні та перспективні негативні моменти масового застосування дистанційної системи навчання, а саме: емоційно-психологічні, гуманітарно-освітні, процедурні та навчально-технічні. Зроблено висновки про незворотність процесу «цифровізації» суспільства, і, в першу чергу, освіти, та про необхідність ретельного дослідження питань соціально-психологічних наслідків широкого застосування дистанційного навчання в закладах середньої та вищої освіти.
Socialization as a Way for Improving Student Morality Behavior
Authors: Phillips Sharon Campbell-
Published: May 2021

This paper explores whether the college level educational institutions in Bangladesh ensure scopes enough to teach, learn and exercise morality behaviors from the part of the learners. The data were collected from the fifty participants of targeted population of a ‘X’ college of Bangladesh. A semi-structured questionnaire was used as data collection instrument and both qualitative and quantitative data were intended to receive. The sample was selected through snowball sampling procedure from the ‘Y’ department of ‘X’ college. ‘Y’ department was selected randomly. Then, data was analyzed on the basis of ratio and nominal scale to analyze the data.
INTELLIGENT DATA ANALYSIS IN BIOMEDICAL RESEARCH: ARTIFICIAL NEURAL NETWORKS
Authors: Narkevich A. N. , Vinogradov K. A. , Paraskevopulo K. M. , Grjibovski A. M.
Published: May 2021

Substantial amounts of biomedical data are being accumulated every year. Large datasets are accumulated in specialized repositories, electronic document management systems, medical information systems, and other repositories. Classical statistical analysis does not always provide opportunities for analysis of these large datasets; therefore, intelligent data analysis (IDA) is becoming more popular in biomedical research. This paper is an introduction to artificial neural networks - one of the most popular methods of IDA. An artificial neural network is an attempt to build a mathematical analog of the brain and mathematically simulate the transmission of a nerve impulse between neurons. We present an example of the application of artificial neural networks in medical research using SPSS and Statistica software packages. The article describes a medical research question, an example of a dataset and a guide on construction and training of an artificial neural network as well as interpretation of the results.
First-Motion Focal Mechanism Solutions for 2015–2019 M ≥ 4.0 Italian Earthquakes
Authors: Ciaccio Maria G. , Di Stefano Raffaele , Improta Luigi , Mariucci Maria T. ,   BSI Working Group
Published: May 2021

A list of 100 focal mechanism solutions that occurred in Italy between 2015 and 2019 has been compiled for earthquakes with magnitude M ≥ 4.0. We define earthquake parameters for additional 22 seismic events with 3.0 ≤ M < 4.0 for two specific key zones: Muccia, at the northern termination of the Amatrice–Visso–Norcia 2016–2018 central Italy seismic sequence, and Montecilfone (southern Italy) struck in 2018 by a deep, strike-slip Mw 5.1 earthquake apparently anomalous for the southern Apennines extensional belt. First-motion focal mechanism solutions are a good proxy for the initial rupture and they provide important additional information on the source mechanism. The catalog compiled in the present paper provides earthquake parameters for individual events of interest to contribute, as a valuable source of information, for further studies as seismotectonic investigations and stress distribution maps. We calculated the focal mechanisms using as a reference the phase pickings reported in the Italian Seismic Bulletin (BSI). We visually checked the reference picks to accurately revise manual first-motion polarities, or include new onsets when they are not present in the BSI dataset, for the selected earthquakes within the whole Italian region, with a separate focus on the Amatrice–Visso–Norcia seismic sequence area from August 24, 2016 to August 24, 2018. For the Montecilfone area, we combined the information on the geometry and kinematics of the source of the 2018 Mw 5.1 event obtained in this study with available subsurface and structural data on the Outer Apulia Carbonate Platform to improve understanding of this intriguing strike-slip sequence. Our analysis suggests that the Montecilfone earthquake ruptured a W–E trending strike-slip dextral fault. This structure is confined within the Apulia crystalline crust and it might represent the western prolongation of the Mattinata Fault–Apricena Fault active and seismogenic structures. The calculated focal mechanisms of the entire catalog are of good quality complementing important details on source mechanics from moment tensors and confirming the relevance of systematically including manually revised and more accurate polarity data within the BSI database.
Crosstalk Between LXR and Caveolin-1 Signaling Supports Cholesterol Efflux and Anti-Inflammatory Pathways in Macrophages
Authors: Ramírez Cristina M. , Torrecilla-Parra Marta , Pardo-Marqués Virginia , de-Frutos Mario Fernández , Pérez-García Ana , Tabraue Carlos , de la Rosa Juan Vladimir , Martín-Rodriguez Patricia , Díaz-Sarmiento Mercedes , Nuñez Uxue , Orizaola Marta C. , Través Paqui G. , Camps Marta , Boscá Lisardo , Castrillo Antonio
Published: May 2021

Macrophages are immune cells that play crucial roles in host defense against pathogens by triggering their exceptional phagocytic and inflammatory functions. Macrophages that reside in healthy tissues also accomplish important tasks to preserve organ homeostasis, including lipid uptake/efflux or apoptotic-cell clearance. Both homeostatic and inflammatory functions of macrophages require the precise stability of lipid-rich microdomains located at the cell membrane for the initiation of downstream signaling cascades. Caveolin-1 (Cav-1) is the main protein responsible for the biogenesis of caveolae and plays an important role in vascular inflammation and atherosclerosis. The Liver X receptors (LXRs) are key transcription factors for cholesterol efflux and inflammatory gene responses in macrophages. Although the role of Cav-1 in cellular cholesterol homeostasis and vascular inflammation has been reported, the connection between LXR transcriptional activity and Cav-1 expression and function in macrophages has not been investigated. Here, using gain and loss of function approaches, we demonstrate that LXR-dependent transcriptional pathways modulate Cav-1 expression and compartmentation within the membrane during macrophage activation. As a result, Cav-1 participates in LXR-dependent cholesterol efflux and the control of inflammatory responses. Together, our data show modulation of the LXR-Cav-1 axis could be exploited to control exacerbated inflammation and cholesterol overload in the macrophage during the pathogenesis of lipid and immune disorders, such as atherosclerosis.
Assessing the Electrochemical Stability Window of NASICON-Type Solid Electrolytes
Authors: Benabed Yasmine , Rioux Maxime , Rousselot Steeve , Hautier Geoffroy , Dollé Mickaël
Published: May 2021

All-Solid-State Lithium Batteries (ASSLBs) are promising since they may enable the use of high potential materials as positive electrode and lithium metal as negative electrode. This is only possible through solid electrolytes (SEs) stated large electrochemical stability window (ESW). Nevertheless, reported values for these ESWs are very divergent in the literature. Establishing a robust procedure to accurately determine SEs’ ESWs has therefore become crucial. Our work focuses on bringing together theoretical results and an original experimental set up to assess the electrochemical stability window of the two NASICON-type SEs Li1.3Al0.3Ti1.7(PO4)3 (LATP) and Li1.5Al0.5Ge1.5(PO4)3 (LAGP). Using first principles, we computed thermodynamic ESWs for LATP and LAGP and their decomposition products upon redox potentials. The experimental set-up consists of a sintered stack of a thin SE layer and a SE-Au composite electrode to allow a large contact surface between SE and conductive gold particles, which maximizes the redox currents. Using Potentiostatic Intermittent Titration Technique (PITT) measurements, we were able to accurately determine the ESW of LATP and LAGP solid electrolytes. They are found to be [2.65–4.6 V] and [1.85–4.9 V] for LATP and LAGP respectively. Finally, we attempted to characterize the decomposition products of both materials upon oxidation. The use of an O2 sensor coupled to the electrochemical setup enabled us to observe operando the production of O2 upon LAGP and LATP oxidations, in agreement with first-principles calculations. Transmission Electron Microscopy (TEM) allowed to observe the presence of an amorphous phase at the interface between the gold particles and LAGP after oxidation. Electrochemical Impedance Spectroscopy (EIS) measurements confirmed that the resulting phase increased the total resistance of LAGP. This work aims at providing a method for an accurate determination of ESWs, considered a key parameter to a successful material selection for ASSLBs.
AutoEncoder-Based Computational Framework for Tumor Microenvironment Decomposition and Biomarker Identification in Metastatic Melanoma
Authors: Zhao Yanding , Dong Yadong , Sun Yongqi , Cheng Chao
Published: May 2021

Melanoma is one of the most aggressive cancer types whose prognosis is determined by both the tumor cell-intrinsic and -extrinsic features as well as their interactions. In this study, we performed systematic and unbiased analysis using The Cancer Genome Atlas (TCGA) melanoma RNA-seq data and identified two gene signatures that captured the intrinsic and extrinsic features, respectively. Specifically, we selected genes that best reflected the expression signals from tumor cells and immune infiltrate cells. Then, we applied an AutoEncoder-based method to decompose the expression of these genes into a small number of representative nodes. Many of these nodes were found to be significantly associated with patient prognosis. From them, we selected two most prognostic nodes and defined a tumor-intrinsic (TI) signature and a tumor-extrinsic (TE) signature. Pathway analysis confirmed that the TE signature recapitulated cytotoxic immune cell related pathways while the TI signature reflected MYC pathway activity. We leveraged these two signatures to investigate six independent melanoma microarray datasets and found that they were able to predict the prognosis of patients under standard care. Furthermore, we showed that the TE signature was also positively associated with patients’ response to immunotherapies, including tumor vaccine therapy and checkpoint blockade immunotherapy. This study developed a novel computational framework to capture the tumor-intrinsic and -extrinsic features and identified robust prognostic and predictive biomarkers in melanoma.