bluuebunny/crossref_metadata_2025 huggingface dataset:
Potensi Dan Karakteristik Limbah Padat Fly Ash Dan Bottom Ash Hasil Pembakaran Batubara PT. Bakti Nugraha Yuda Energy Terhadap Kuat Tekan Paving Block
Authors: Kartika Sari Enda , Putri Yuliantini Eka , Lindawati  , Desromi Ferry , Nurmeyliandari Revianty
Published: June 2023

PT. Bakti Nugraha Yuda Energy memiliki pembangkit tenaga uap dengan menggunakan batubara sebagai bahan bakar utama. Limbah Hasil Pembakaran Batubara (LHPB) terus bertambah tetapi terbatas penyimpanannya. Penelitian ini dilakukan untuk mengidentifikasi potensi dan karakteristik limbah hasil pembakaran batubara yang dihasilkan dan potensinya untuk paving block. Penelitian ini bertujuan untuk  mengetahui kadar penggunaan fly ash dan bottom ash yang optimal untuk paving block dan karakteristiknya. Metode yang dilakukan berupa survey langsung. Data yangdari pengujian langsung di laboratorium terhadap kuat tekan paving block pada  campuran fly ash dan bottom ash. Data sekunder berupa data karakteristik fly ash dan botom ash dan literatur lainnya. Dari pengujian, kuat tekan tertinggi pada paving block pada subtitusi fly ash dan bottom ash 30 % sebesar 105.38 MPa. Peningkatan kuat tekan terjadi akibat kandungan silika yang tinggi yang terdapat pada fly ash dan bottom ash. Karakteristik batubara di PLTU  PT. Bakti Nugraha Yuda Energy adalah silika dan besi sebagai unsur kandungan utama, dan usur lainnya yaitu aluminium, kalsium, titanium dan kalium. Fly ash dan bottom ash memiliki kandungan mineral yang tinggi yaitu didominasi oleh phasa quartz 61,8% dengan struktur kristal trigonal (hexagonal axes).
Potensi Air Tanah Di Kota Palembang
Authors: Andayani Reni , Umari Zuul Fitriana
Published: June 2023

Air tanah memberikan distribusi yang cukup penting karena jumlahnya mencapai 30.061% dari seluruh air tawar yang ada. Menurut Kementerian Energi dan Sumber Daya Mineral, potensi air tanah di Indonesia mencapai sekitar 100 milyar m3 yang tersebar di seluruh daratan Indonesia Pada penelitian ini dilakukan perhitungan ketinggian muka air tanah dan tampungan air tanah .  Sumur pantau dilakukan pada wilayah Kecamatan Ilir Timur I Kota Palembang dengan pertimbangan, masih cukup banyak masyarakat yang menggunakan sumur gali. Data primer didapatkan dari pengukuran ketinggian air tanah langsung di lapangan. Perhitungan evapotranspirasi menggunakan Metode Penman Modifikasi, dan perhitungan curah hujan hujan wilayah menggunakan Metode Aritmatik. Perhitungan potensi air tanah menggunakan Metode Thornthwaite. Hasil analisis ketinggian muka air tanah didapatkan rata-rata 3,44 m. Klasifikasi fluktuasi muka air tanah menunjukkan wilayah tersebut berada pada tingkat sedang. Perhitungan tampungan muka air dengan Metode Thornthwaite menunjukkan bahwa kapasitas tampungan terbesar terjadi pada April yaitu 157 m3 dan pada bulan-bulan basah yaitu November hingga April, namun di bulan-bulan kering tampungan mendekati nilai nol
Studi Mikrostruktur Foamed Concrete dengan Penambahan Serat Daun Nanas Menggunakan Scanning Electron Microscope (SEM)
Authors: Irawan Teddy , Sutama Adji , Marice Agustini
Published: June 2023

Penggunaan bahan limbah sebagai material tambahan pada beton saat ini telah menjadi poin penting dalam industri konstruksi. Hal ini terjadi karena kebutuhan akan bahan baku konstruksi yang semakin meningkat, sedangkan sumber daya alam semakin terbatas. Penggunaan bahan limbah juga dapat memberikan dampak positif baik terhadap beton dan lingkungan seperti mampu meningkatkan sifat mekanik beton dan mengurangi jumlah limbah yang dibuang ke lingkungan. Pada penelitian ini menggunakan bahan limbah berupa serat daun nanas yang dijadikan sebagai bahan tambahan untuk pembuatan foamed concrete. Persentase serat daun nanas yang digunakan sebesar 0% dan 0,2% dengan panjang serat 0 mm, 10 mm, 20 mm dan 30 mm. Adapun material yang digunakan untuk memproduksi foamed concrete berupa semen portland, fly ash, agregat halus, foam, dan air. Hasil pengujian kuat tekan foamed concrete menunjukkan bahwa campuran FCN0,2-30 menghasilkan kuat tekan yang optimum sebesar 4,76 MPa. Hasil pengujian SEM menunjukkan bahwa mikrostruktur foamed concrete dengan penambahan serat daun nanas menghasilkan matriks beton yang semakin padat dan serat daun nanas tersebut berkontribusi mengisi celah-celah yang terdapat pada beton. Selain itu, mikrostruktur foamed concrete dengan penambahan serat daun nanas memiliki pori-pori yang lebih sedikit dan lebih kecil dibandingkan dengan mikrostruktur foamed concrete tanpa adanya serat daun nanas
Agreements and contracts in the field of family relations: correlation and features of legal regulation
Authors: Letova Nataliya V.
Published: June 2023

In the article, the author presents the differences between categories “agreement” and “contract”, analyzes their features of application in the field of family relations, criteria are defined for their differences in Civil and Family Law. The author proves the backbone relationship between the grounds for the emergence of agreements, contracts and their content in the field of family relations, determines their essence, concludes that there is a certain “mixture” of these categories in the norms of the Family Code of the Russian Federation. The article substantiates that it is unacceptable to consider “agreement” and “contracts” as identical categories, since this leads not only to their incorrect application in practice in the regulation of family relations, but also does not allow them to be differentiated from contracts used in the field of civil relations. Such a theoretical “gap” leads to the impossibility of a clear distinction between transactions under Family and Civil Law.
The innovative word of Academician I.M. Ragimov I.M. Ragimov. On the morality of punishment / foreword by H.D. Alikperov
Authors: Toschenko Zhan T.
Published: June 2023

We would like to note right away that we are dealing with the work of Doctor of Law, Professor, foreign member of the Russian Academy of Sciences I.M. Ragimov, Honored Lawyer of the Republic of Azerbaijan, in which he offers to reflect on this important and practically undeveloped problem – the relationship between morality and punishment – not only to lawyers, but also to a wide range of representatives of all social and humanitarian sciences. And even more – to all readers, one way or another interested in the knowledge of law and such an important problem as the nature of punishment. This is especially important for a mass audience, since the book is written in a good Russian literary language, which clearly and clearly sets out difficult legally complex problems. Usually in the social science literature, the relationship between law and morality is analyzed in terms of how and on what grounds they differ from each other. It shows how their interrelationship changed during a particular historical period, among a particular people, and how this was reflected in legislation. I.M. Ragimov offers a unique idea – to consider the problems of morality of punishment itself, the limits of its understanding, possible interpretation and use under a variety of circumstances. This innovative idea, in our opinion, goes back to the same approach in law, which was laid down by Russian lawyers at the beginning of the twentieth century – B.A. Kistyakovsky, N.M. Korkunov, P.I. Novgorodtsev et al, who drew attention to why legal acts are not reflected in the minds and consciousness of people and why many laws remain formal documents and remain the lot of only the legislators themselves. In other words, those who deal with the adoption of laws should know how they reach and are fixed in the public consciousness and behavior. The purpose of this review is to analyze this phenomenon on the basis of such an important scientific and applied concept as “social contract”, which is mentioned in the monograph, but only from certain positions. It is on him, taking into account the philosophical, sociological, socio-psychological approach, that we will focus our attention.
The search for the “legal Grail” has been completed (Reflections on the fields of fundamental research “Military Law” in the era of transformation of the current world order)
Authors: Yatskin Andrey
Published: June 2023

The fundamental monographic study “Military Law” comprehensively examines the issues of legal regulation of public relations related to the functioning of the military organization of the state, provides a detailed theoretical justification of the independence of Military Law as a branch of Russian law, its key sub-branch - the law of armed conflicts.
Legal status of the prosecutor in arbitration proceedings
Authors: Mikhailova Ekaterina V.
Published: June 2023

The article examines the legal position of the prosecutor in the system of participants in arbitration proceedings. Based on the analysis of the nature of arbitration proceedings and civil cases considered by arbitration courts, it was concluded that, despite the consolidation of the independent constitutional status of arbitration proceedings as a separate procedural form of protection, it is still impossible to draw a clear distinction between civil and arbitration proceedings. Both in civil and in arbitration proceedings, both private law and public law disputed legal relations are the subject of judicial activity. This circumstance determines the commonality of the goals and objectives of civil and arbitration proceedings, which directly affects the procedural status of the persons involved in the case. The prosecutor traditionally treats the legislator to the persons participating in the case, both in civil and in arbitration proceedings. A retrospective look at Russian procedural legislation led to the conclusion that it is necessary to maintain the supervisory function of the prosecutor not only in civil, but also in arbitration proceedings. The truncated powers of the prosecutor in the arbitration process do not correspond to the tasks he performs in the field of civil jurisdiction, and it is proposed to expand them in a number of areas.
The Russian idea in the Philosophy of Law
Authors: Savenkov Alexander N.
Published: June 2023

The Russian idea concept is revealed in the article, its manifestation in the Russian Philosophy of Law is shown. It is noted that the concept of the Russian idea was in the center of attention of many figures of Russian culture, who tried to comprehend the essence of Russian history, culture and statehood. The concept of the Russian idea included at least three components: the Philosophy of History, the Philosophy of Culture and the Philosophy of Law. The Russian Phi-losophy of Law has become the logical conclusion of reflections on the history of the Russian people, its national identity and statehood. The Russian Philosophy of Law, its indissoluble connection with the national worldview and Russian statehood are shown in the article. The conclusion is formulated that the Russian Philosophy of Law is a great value, making a signifi-cant contribution to national and world culture.
СТРЕСОСТІЙКІСТЬ ЯК СКЛАДОВА САМОЗБЕРЕЖЕННЯ ПСИХІЧНОГО ЗДОРОВ’Я ФАХІВЦІВ СОЦІОНОМІЧНОГО ПРОФІЛЮ
Authors: КОМАР Таїсія , ВАРГАТА Оксана , ХОПТЯНА Олександра
Published: June 2023

У статті розкрито актуальність проблеми стресостійкості як складової самозбреження психічного здоров’я та здоров’я фахівця соціономічного профілю. Здійснено теоретичний аналіз праць українських психологів-науковців з проблеми стресу, стресостійкості, емоційної стійкості фахівців,  здоров’язбереження та самозбереження. Описано важливість підвищення рівня стресостійкості та емоційної стійкості фахівців сфери людина-людина для покращення їх ефективності й правильності вирішення професійних завдань, мінімізації робочого стресу та покращення їх психічного стану. Досліджено важливість впровадження здоров’язберігаючих технологій, просвітницьких, корекційних та навчальних заходів для самооздоровленя та самозбереження психічного здоров’я фахівцями соціономічного профілю. Уточнено сутність понять: стрес, стресостійкість, емоційна стійкість, емоційне вигорання, психічне здоров’я, самозбереження та здоров’язбережувальні технології.

Визначено, що стресостійкість та емоційна стійкість є важливими складовими психічного здоров’я фахівця, адже в сучасних умовах спеціалісти соціономічного профілю стикаються з різними дистресами на роботі, погіршенням умов праці, психосоматичними наслідками стресу. Приділено увагу впливу емоційного чинника стресу на здоров’я фахівця соціономічного профілю. Визначено, що стресостійкість та емоційна стійкість є прямопропорційними до якості психічного здоров’я фахівця та його професійної діяльності. Розглянуто поняття стресостійкості та емоційної стійкості як складових самозбереження.

Висвітлено результати емпіричного дослідження рівня стресостійкості та емоційної стійкості за розробленими методиками. За результати дослідження визначено, що переважає середній рівень стресостійкості та емоційної стійкості серед фахівців соціономічного профілю, що свідчить про наявність проблем з якість психічного здоров’я та необхідністю до самозбереження. Перспективою подальшого дослідження вбачаємо у впровадженні та розробці здоров’язберігаючих технологій, тренінгів самооздоровлення та самозбереження у закладах для навчання фахівців соціономічного профілю.
ЕМПІРИЧНЕ ДОСЛІДЖЕННЯ ОСОБЛИВОСТЕЙ СОЦІАЛЬНО−ПСИХОЛОГІЧНОЇ АДАПТАЦІЇ МОЛОДІ У ПЕРІОД ВІЙСЬКОВИХ ДІЙ В УКРАЇНІ
Authors: ШПОРТУН Оксана , РЕДЬКА Інга
Published: June 2023

Дана стаття розкриває особливості поняття соціально-психологічної адаптації. Визначено, що соціально-психологічна адаптація – це процес взаємного обміну інформацією про соціально-психологічні характеристики між трудовим колективом та індивідом, встановлення на цій основі контактів та взаємовідносин, що забезпечують можливість ефективної сумісної праці та неформального спілкування. Соціальні події, що відбуваються в світі й країні, змушують юнаків і дівчат самостійно робити вибір, особисто орієнтуватись у всьому. Основним новоутворенням юнацького віку є особистісне самовизначення, від якого залежать усі інші види самовизначення юнаків і дівчат. До основних соціально-психологічних детермінантів особистісного самовизначення юнаків і дівчат, що мають смислове значення, належать: значущість проблем, що обговорюються з однолітками; коло референтних осіб; ціннісні орієнтації; цілеспрямованість взаємин; сфери самореалізації; ставлення до соціуму й осмислення себе в ньому; майбутні плани, їх конкретний зміст; вибір професії, орієнтація в ньому на соціально чи особистісно значущі чинники; міра впевненості у виборі лінії поведінки. Теоретичними засадами вивчення тенденцій дезадаптації на даному віковому етапі є численні якісні зрушення у фізіологічному, психічному, соціальному аспектах розвитку молодої людини в цей період. У даній роботі досліджувалися молоді люди, які перебувають саме у стані соціально-економічної кризи – війна в Україні.
РЕЗУЛЬТАТИ ДОСЛІДЖЕННЯ ІНДИВІДУАЛЬНО-ПСИХОЛОГІЧНИХ ОСОБЛИВОСТЕЙ ОСОБИСТОСТІ ПРОЯВУ СТРЕСОСТІЙКОСТІ: ГЕНДЕРНИЙ АСПЕКТ
Authors: КУЛЕШОВА Олена , МІХЕЄВА Людмила
Published: June 2023

У статті представлений аналіз стану дослідження проблеми стресостійкості особистості, гендерних відмінностей індивідуально-психологічних особливостей її проявів. Обґрунтовано актуальність проблеми підвищення стресостійкості сучасної людини як першочергової задачі держави для підтримання суспільного спокою, соціальної стабільності, можливості прогнозувати та керувати процесами, що відбуваються в суспільстві.

Проаналізовано результати проведеної експериментально-дослідної роботи: виділено рівні прояву стресостійкості у чоловіків та жінок, визначено їх залежність від індивідуально-психологічних особливостей особистості. встановлено, що в індивідуально-психологічних особливостях прояву стресостійкості у чоловіків та жінок існують відмінності.
ПСИХОЛОГО-ПРАВОВІ ОСОБЛИВОСТІ СИСТЕМИ ЮРИДИЧНОЇ КОНСУЛЬТАТИВНОЇ ПРАКТИКИ
Authors: ПЕТЯК Олена
Published: June 2023

У статті розглядаються питання специфіки діяльності юридичної консультативної практики. Встановлено, що в діяльності юриста-консультанта переважають реконструктивна та комунікативна складові. Орієнтуючись на знання психологічних теорій, юрист-консультант усвідомлено збирає анамнез, прогнозує наслідки різних обставин, створює програму корекції та пояснює клієнту, за рахунок чого може бути досягнутий терапевтичний або розвиваючий ефект. Встановлено, що юрист-консультант, приступаючи до консультативної роботи, повинен напрацювати такі компоненти професійно-психологічної готовності: а) професійні та психологічні знання; б) професійно-психологічні вміння; в) професійно розвинені психологічні риси; г) професійно-психологічну стійкість.
History of immunotherapy of malignant tumors
Authors: Kramchaninov M.M. , Moiseenko V.M.
Published: June 2023

cancer, solid tumors, antitumour drugs, immunotherapy, monoclonal antibodies, checkpoint inhibitors
IMPLEMENTASI PERANGKAT PEMBELAJARAN BERBASIS MASALAH GUNA MENGEMBANGKAN KECERDASAN EMOSIONAL MAHASISWA MATEMATIKA
Authors: Armiati Armiati
Published: June 2023

Emotional intelligence is recognized as an ability to participate influential in determining one's success. This paper will discuss the research results relating to the development of emotional intelligence of students of mathematics. Based on survey results revealed the existence of positive changes in emotional intelligence of students after attending a course using problem-based learning tools.
The Effectiveness of the BAHAGIA Package on the Subjective Well-Being of Post-Stroke Patients
Authors: Melsandi Melsandi , Mohtar M Sobirin , Asmadiannor Asmadiannor
Published: June 2023

Background: stroke can leave symptoms or further impacts in all aspects of life such as loss of doing activities and changing roles. Changes that occur in post-stroke patients need to be given home care therapy, one of which is using the "BAHAGIA" Package which consists of a series of words BINGAH, AYEM, HANDOKO, ABIYASA, GALIH, IGUH, and APIK.Purpose: to determine the effectiveness of the BAHAGIA Package on the Subjective Well-Being of post-stroke patients in the Cempaka Putih Public Health Center, Banjarmasin.Methods: this study used quantitative research with Pre-Experimental pre-post test design and purposive sampling technique, totaling 30 people. The data collection instrument used a questionnaire.Results: based on research results from Subjective Well-Being respondents in the medium category as many as 2 people (7%) and high as many as 28 people (93%). The results of the Wilcoxon test obtained a significance value of 0.000 0.05 indicating that there is an effectiveness of the BAHAGIA Package on the Subjective Well-Being of post-stroke patients.Conclusion: based on the results of the study, it can be concluded that there is an effectiveness of the BAHAGIA Package on the Subjective Well-Being of post-stroke patients in the Work Area.
Characterizations of Matrix and Compact Operators on BK Spaces
Authors: GÖKÇE Fadime
Published: June 2023

In the present paper, by estimating operator norms, we give some characterizations of infinite matrix classes $\left( \left\vert E_{\mu }^{r}\right\vert _{q},\Lambda\right) $ and $\left( \left\vert E_{\mu }^{r}\right\vert _{\infty },\Lambda\right) $, where the absolute spaces $\ \left\vert E_{\mu }^{r}\right\vert _{q},$ $\left\vert E_{\mu }^{r}\right\vert _{\infty }$ have been recently studied by G\"{o}k\c{c}e and Sar{\i }g\"{o}l \cite{GS2019c} and $\Lambda$ is one of the well-known spaces $c_{0},c,l_{\infty },l_{q}(q\geq 1)$. Also, we obtain necessary and sufficient conditions for each matrix in these classes to be compact establishing their identities or estimates for the Hausdorff measures of noncompactness.
Arched beams of Bresse type: New thermal couplings and pattern of stability
Authors: Bittencourt Moraes G.E. , de Camargo S.J. , Jorge Silva M.A.
Published: June 2023

This is the second paper of a trilogy intended by the authors in what concerns a unified approach to the stability of thermoelastic arched beams of Bresse type under Fourier’s law. Differently of the first one, where the thermal couplings are regarded on the axial and bending displacements, here the thermal couplings are taken over the shear and bending forces. Such thermal effects still result in a new prototype of partially damped Bresse system whose stability results demand a proper approach. Combining a novel path of local estimates by means of the resolvent equation along with a control-observability analysis developed for elastic non-homogeneous systems of Bresse type proposed in trilogy’s first paper, we are able to provide a unified methodology of the asymptotic stability results, by proving the pattern of them with respect to boundary conditions and the action of temperature couplings, which is in compliance with our previous and present goal.
Modified bee colony optimization with opposition learning algorithm on use of medical data clustering
Authors: Sahoo Srikanta Kumar , Pattanaik Priyabrata , Mohanty Mihir Narayan
Published: June 2023

Clustering has gained popularity in the data mining field as one of the primary approaches for obtaining data distribution and data analysis. The medical data analysis for different diseases is a great challenge in current research. The benefits of opposition based learning such as faster convergence rate and better approximate result in finding global optimum can be helpful in this area. To achieve faster convergence and better clustering results for medical data, in this work, the authors have proposed an approach utilising modified bee colony optimization with opposition based learning and k-medoids technique. The initial centroid plays an important role in the bee colony optimization based clustering. The proposed approach uses k-medoids algorithm for this task. In order to facilitate faster convergence, it adds the opposite bees which are located at exactly the opposite location of the initial bees. The exploration task is performed by both of these kinds of bees to find potential solutions. This increases the algorithm’s capacity for exploration and, consequently, the rate of convergence. Five distinct medical datasets collected from the UCI library are investigated to demonstrate the algorithm’s efficacy. The implementation results demonstrate that the algorithm gives better convergence rate and clustering quality compared to some the existing algorithms.
Infodemic Insights on Trust in a Health Emergency: A Narrative Deep-Dive
Authors: White Becky K. , Lavery Lucy , Ishizumi Atsuyoshi , Wright Amy , Foley Tom , Nguyen Tim , Briand Sylvie , Machiri Sandra , Hassan Noha , Pastorino Agnese , Purnat Tina D.
Published: June 2023

Trust in authorities is important during health emergencies, and there are many factors that influence this. The infodemic has resulted in overwhelming amounts of information being shared on digital media during the COVID-19 pandemic, and this research looked at trust-related narratives during a one-year period. We identified three key findings related to trust and distrust narratives, and a country-level comparison showed less mistrust narratives in a country with a higher level of trust in government. Trust is a complex construct and the findings of this study present results that warrant further exploration.
Prototype Expert System for Gout Diagnosis on an Outpatient Basis
Authors: Osmolovsky Ivan , Zarubina Tatyana , Shostak Nadezhda , Klimenko Alesya , Kondrashov Artem
Published: June 2023

Gout is a systemic disease that is caused by the deposition of monosodium urate crystals in various tissues which leads to inflammation in them. This disease is often misdiagnosed. It leads to the lack of adequate medical care and development of serious complications, such as urate nephropathy and disability. The current situation can be improved by optimizing the medical care provided to patients, which requires searching for new strategies in terms of diagnosis. One of these strategies is the development of an expert system for providing information assistance to medical specialists which was a purpose of this study. The developed prototype expert system for gout diagnosis has knowledge base including 1144 medical concepts and 5 640 522 links, intelligent knowledge base editor and software which helps practitioner make the final decision. It has sensitivity of 91,3% [95% CI, 89,1%-93,1%], specificity of 85,4% [95% CI, 82,9%-87,6%] and AUROC 0,954 [95% CI, 0,944-0,963].
Identifying the Optimal Location of Facial EMG for Emotion Detection Using Logistic Regression
Authors: Barigala Vinay Kumar , Sriram Kumar P  , Govarthan Praveen Kumar , PJ Swarubini , Aasaithambi Mythili , Ganapathy Nagarajan , Pa Karthik , Kumar Deepesh , Agastinose Ronickom Jac Fredo
Published: June 2023

In this study, we analyzed the utility of electromyogram (EMG) signals recorded from the zygomaticus major (zEMG), the trapezius (tEMG), and the corrugator supercilii (cEMG) for emotion detection. We computed eleven-time domain features from the EMG signals to classify the emotions such as amusing, boring, relaxing, and scary. The features were fed to the logistic regression, support vector machine, and multilayer perceptron classifiers, and model performance was evaluated. We achieved an average 10-fold cross-validation classification accuracy of 67.29%. 67.92% and 64.58% by LR using the features extracted from the EMG signals recorded from the zEMG, tEMG, and cEMG, respectively. The classification accuracy improved to 70.6% while combining features from the zEMG and cEMG for the LR model. However, the performance dropped while including the features of EMG from all three locations. Our study shows the importance of utilizing the zEMG and cEMG combination for emotion recognition.
Experience from the Development of HL7 FHIR IG for Gatekeeper Project
Authors: Gazzarata Roberta , Chronaki Catherine , Gallego Alba , Gaeta Eugenio , Fico Giuseppe , Zampognaro Paolo , Mercalli Franco , Giuliani Francesco , Allocca Carlo , Cangioli Giorgio
Published: June 2023

The GATEKEEPER (GK) Project was financed by the European Commission to develop a platform and marketplace to share and match ideas, technologies, user needs and processes to ensure a healthier independent life for the aging population connecting all the actors involved in the care circle. In this paper, the GK platform architecture is presented focusing on the role of HL7 FHIR to provide a shared logical data model to be explored in heterogeneous daily living environments. GK pilots are used to illustrate the impact of the approach, benefit value, and scalability, suggesting ways to further accelerate progress.
FHIR DataProvider for ReactAdmin: Leveraging User Interface Creation for Medical Web Applications
Authors: Scheible Raphael , Alkier David , Wendroth Justus , Mayer Julian , Boeker Martin
Published: June 2023

In medical data science, FHIR provides an increasingly used information model, which will lead to the creation of FHIR warehouses in the future. To efficiently work with a FHIR-based representation, users need a visual representation. The modern UI framework ReactAdmin (RA) enhances usability by leveraging current web standards such as React and Material Design. Rapid development and implementation of usable modern UIs is made possible by its high modularity and many widgets available in the framework. For data connection to different data sources RA needs a DataProvider (DP), which maps the communication from the server to the provided components. In this work, we present a DataProvider for FHIR that enables future UI developments for FHIR servers using RA. A demo application demonstrates the DP’s capabilities. The code is published under MIT license.
Predicting Mortality in COVID-19 Patients Using 6 Machine Learning Algorithms
Authors: Kourmpanis Nikolaos , Liaskos Joseph , Zoulias Emmanouil , Mantas John
Published: June 2023

In late 2019, COVID-19 appeared and has since spread worldwide as the new pandemic, causing more than 6 million deaths. In dealing with this global crisis, the contribution of Artificial Intelligence was also important through the possibilities of creating predictive models through Machine Learning algorithms, which are already successfully applied to solving a multitude of problems, for many scientific fields. This work aims to find the best model for predicting the mortality of patients with COVID-19, through the comparison of 6 classification algorithms, i.e. Logistic Regression, Decision Trees, Random Forest, eXtreme Gradient Boosting, Multi-Layer Perceptrons, K-Nearest Neighbors. We used a dataset containing more than 12 million cases which was cleansed, modified, and tested for each model. The best model is XGBoost (Precision: 0.93764, Recall: 0.95472, F1-score: 0.9113, AUC_ROC: 0.97855 and Runtime: 6.67306 sec), which is recommended for the prediction and priority treatment of patients with high mortality risk.
A Regressive Model to Study the Hospitalization for Laparoscopic Appendectomy: A Multicenter Study
Authors: Marino Marta Rosaria , Bottino Vincenzo , De Falco Nadia , Basile Nicoletta , Russo Mario Alessandro , Triassi Maria
Published: June 2023

Appendicitis is a most common abdominal condition worldwide, and appendectomy especially laparoscopic appendectomy is among the most commonly performed general surgeries. In this study, data were collected from patients who underwent laparoscopic appendectomy surgery at the Evangelical Hospital “Betania” in Naples, Italy. Linear multiple regression was used to obtain a simple predictor that can also assess which of the independent variables considered to be a risk factor. The model with R2 of 0.699 shows that comorbidities and complications during surgery are the main risk factors for prolonged LOS. This result is validated by other studies conducted in the same area.
Conciliation and Approval of Quality Principles for the Self-Declaration of the Quality of Health Apps
Authors: Albrecht Urs-Vito , Pustozerov Evgenii , Von Jan Ute
Published: June 2023

This poster describes the conciliation and approval process of the unified set of criteria for self-declaration of health app quality. The timeline underlines the necessity of transparency and open communication in regulations.
Decreasing Admissions but Increasing Readmissions for Mental Health in-Patient Treatment in Scotland, UK
Authors: Cooke Elizabeth A. , Lemanska Agnieszka , Thomas Spencer A.
Published: June 2023

We have analysed mental health data for in-patient admissions from 1997 to 2021 in Scotland. The number of patient admissions for mental health patients is declining despite population numbers increasing. This is driven by the adult population; child and adolescent numbers are consistent. We find that mental health in-patients are more likely to be from deprived areas: 33 % of patients are from the most deprived areas, compared to only 11 % from the least deprived. The average length of stay for a mental health in-patient is decreasing, with a rise in stays lasting less than a day. The number of mental health patients who have been readmitted within a month fell from 1997 to 2011, then increased to 2021. Despite the average stay length decreasing, the number of overall readmissions is increasing, suggesting patients are having more, shorter stays.
Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data
Authors: Aziz Sarah , Ahmed Arfan , Abd-Alrazaq Alaa , Qidwai Uvais , Farooq Faisal , Sheikh Javaid
Published: June 2023

In 2019 alone, Diabetes Mellitus impacted 463 million individuals worldwide. Blood glucose levels (BGL) are often monitored via invasive techniques as part of routine protocols. Recently, AI-based approaches have shown the ability to predict BGL using data acquired by non-invasive Wearable Devices (WDs), therefore improving diabetes monitoring and treatment. It is crucial to study the relationships between non-invasive WD features and markers of glycemic health. Therefore, this study aimed to investigate accuracy of linear and non-linear models in estimating BGL. A dataset containing digital metrics as well as diabetic status collected using traditional means was used. Data consisted of 13 participants data collected from WDs, these participants were divided in two groups young, and Adult Our experimental design included Data Collection, Feature Engineering, ML model selection/development, and reporting evaluation of metrics. The study showed that linear and non-linear models both have high accuracy in estimating BGL using WD data (RMSE range: 0.181 to 0.271, MAE range: 0.093 to 0.142). We provide further evidence of the feasibility of using commercially available WDs for the purpose of BGL estimation amongst diabetics when using Machine learning approaches.
Data and Information Problems in Health Care and How Creative Methods Might Solve Them
Authors: Mess Elisabeth Veronica , Krumme Julia , Kramer Frank , Teynor Alexandra
Published: June 2023

This paper discusses the concept of data and information and highlights the problems associated with their usage in healthcare. While data refers to facts and statistics collected for reference or analysis, information includes the context provided to data to gain meaning. Healthcare professionals use the information obtained from data to improve patients’ health status and satisfaction. Nevertheless, the value of information depends on the data and how it is presented. As a result, many problems can arise in the collection and processing of data and the provision of information. In this paper, these are called data and information problems. One possible approach to reduce such problems in the future could be to use creative methods. To initially address this idea, exemplary keyword research was carried out, and examples are presented in this paper.
Legal and Ethical Challenges in the Development of mHealth Applications
Authors: Waibel Ann-Kathrin , Karthan Maximilian , Seifert Nadine , Fotteler Marina , Swoboda Walter
Published: June 2023

Researchers frequently face ethical and privacy challenges on health applications. Ethics is a branch of moral philosophy and deals with the “right” and “good” actions of humans, which often leads to dilemmas. Reasons for this are social and societal dependencies of the respective norms. Data protection is regulated by law throughout Europe. This poster provides guidance on these challenges.
The User, the Watch, and the Bestseller: Study on the Utilization of Smart Medical Wearables and Their User Manuals
Authors: Simon Aniko , Xinyu Qiu , Kara Peter A. , Lakovic Luka , Ognjanovic Ivana , Sendelj Ramo , Reich Christoph , Roganovic Milovan , Mantas John , Bokor Laszlo
Published: June 2023

In this paper, we present a study on the utilization of smart medical wearables and the user manuals of such devices. A total of 342 individuals provided input for 18 questions that address user behavior in the investigated context and the connections between various assessments and preferences. The presented work clusters individuals based on their professional relation to user manuals and analyzes the obtained results separately for these groups.
Towards Improving Data Quality in Electronic Medical Records: An Investigation of Data Completeness in a Tertiary Hospital in Rwanda
Authors: Uwase Melissa , Iradukunda Jean De Dieu , Rusa Divine Umutesi , Ndahimana Raphael , Mvuyekure Briand , Birindabagabo Pascal , Ruton Hinda , Mpunga Tharcisse , Mugisha Michael , Twizere Celestin , Tumusiime David
Published: June 2023

Data quality is a primary barrier to using electronic medical records (EMR) data for clinical and research purposes. Although EMR has been in use for a long time in LMICs, its data has been seldomly used. This study aimed to assess the completeness of demographic and clinical data in a tertiary hospital in Rwanda. We conducted a cross-sectional study and assessed 92,153 patient data recorded in EMR from October 1st to December 31st, 2022. The findings indicated that over 92% of social demographic data elements were complete, and the completeness of clinical data elements ranged from 27% to 89%. The completeness of data varied markedly by departments. We recommend an exploratory study to understand further reasons associated with the completeness of data in clinical departments.
Community-Centered User Research for the Development of the WHO’s Epidemic and Pandemic Preparedness Platform, the Hive
Authors: Briand Sylvie , Hess Sarah , Lee John , Sheridan Katherine , Nguyen Tim , Yau Brian
Published: June 2023

Each epidemic and pandemic is accompanied by an infodemic. The infodemic during the COVID-19 pandemic was unprecedented. Accessing accurate information was difficult and misinformation harmed the pandemic response, the health of individuals and trust in science, governments and societies. WHO is building a community-centered information platform, the Hive, to deliver on the vision of ensuring that all people everywhere have access to the right information, at the right time, in the right format in order to make decisions to protect their health and the health of others. The platform provides a safe space for knowledge-sharing, discussion, collaboration, and access to credible information. The Hive platform is an innovative minimum viable product that seeks to leverage the complex information ecosystem and the invaluable role of communities to share and access trustworthy health information during epidemics and pandemics.
Patient Perceptions of a Virtual Reality-Based System for Pulmonary Rehabilitation: A Qualitative Analysis
Authors: Gabriel Aileen S. , Tsai Te-Yi , Xhakli Taulant , Finkelstein Joseph
Published: June 2023

The objective of this study was to evaluate the attitudes, beliefs, and perspectives of patients diagnosed with Chronic Obstructive Pulmonary Disease (COPD) while using a virtual reality (VR) system supporting a home-based pulmonary rehabilitation (PR) program. Patients with a history of COPD exacerbations were asked to use a VR app for home-based PR and then undergo semi-structured qualitative interviews to provide their feedback on using the VR app. The mean age of the patients was 72±9 years ranging between 55 and 84 years old. The qualitative data were analyzed using a deductive thematic analysis. Findings from this study indicated the high acceptability and usability of the VR-based system for engaging in a PR program. This study offers a thorough examination of patient perceptions while utilizing a VR-based technology to facilitate access to PR. Future development and deployment of a patient-centered VR-based system will consider patient insights and suggestions to support COPD self-management according to patient requirements, preferences, and expectations.
Survey Results on Online Teaching and Learning Environments in the European EMMA Project
Authors: Ströckl Daniela Elisabeth , Hoffland Marvin D. , Zoulias Emmanouil
Published: June 2023

In the Erasmus+ project EMMA, a concept for a common digital teaching and learning platform is to be developed for an online joint master program. In the initial phase, a status quo survey was carried out among the consortium members, which shows which digital infrastructures are already in use and which functions are considered particularly important by the teachers. This paper shows the first results of the short survey via online questionnaire and discusses the challenges derived from it. Due to the non-homogeneous infrastructure and software use, there are neither the teaching-learning platform nor digital communication applications tools that are used equally by all six European higher education institutions. However, the consortium pursues the idea of specifying a limited tool pool order to strengthen the user experience and usability of teachers and students with different interdisciplinary backgrounds and digitalization expertise.
Remote Monitoring of Patients with Implantable Devices-Telemonitoring and Chronic Diseases
Authors: Tsirintani Maria
Published: June 2023

The high health care costs and poor quality associated with heart failure have led to the development of remote patient monitoring (RPM or RM) systems and cost-effective disease management strategies. RM of cardiac implantable electronic devices (CIEDs) is the application of communication technology to patients carrying a pacemaker (PM), an implantable cardioverter defibrillator (ICD) for cardiac resynchronization therapy (CRT) or an implantable loop recorder (ILR). The aim of this study is to define and analyze the benefits of modern telecardiology to provide patients with remote clinical assistance especially for patients with implantable devices for early detection of the development of heart failure as well as the limitations inherent therein. Furthermore, the study examines the benefits of telemonitoring in chronic and cardiovascular diseases proposing holistic care. A systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses-PRISMA methodology. The results highlight that telemonitoring has augmented beneficial effects on clinical outcomes of heart failure, including, a reduction in mortality, heart failure hospitalization, all cause hospitalization and also an improvement in Quality of Life.
COVID-19 in Eye Surgery: The Case of a University Hospital
Authors: Marino Marta Rosaria , Costaiola Ciro , Magri Paola , Longo Giuseppe , Triassi Maria , Improta Giovanni
Published: June 2023

Coronavirus epidemic has quickly become a global health threat. The ophthalmology department, like all other departments, have adopted resource management and personnel adjustment maneuvers. The aim of this work was to describe the impact of covid on the Ophthalmology Department of University Hospital “Federico II” of Naples. In the study logistical regression was used for a comparison between the pandemic and the previous period, analyzing patient features. The analysis showed a decrease in the number of accesses; reduction of the length of stay; and the statistically dependent variables are as follows: LOS, discharge procedures and admission procedure.
UPRITE: Promoting Positive Posture in Children and Adolescents
Authors: Perimal-Lewis Lua , Light James , Strobel Jörg
Published: June 2023

Technology use associated with habitual posture is linked with the decline in mental well-being. The objective of this study was to evaluate the potential of posture improvement through game play. 73 children and adolescents were recruited, and accelerometer data collected through game play was analyzed. The data analysis reveals that the game/app affects and encourages upright/vertical posture.
Digital Transformation Efforts in Greece: Evaluation of the E-Prescription System
Authors: Georgopoulou Eirini , Liaskos Joseph , Zoulias Emmanouil , Mantas John
Published: June 2023

In recent years, Greece has made efforts towards digital transformation. The most significant was the installation and use of eHealth systems and applications by health professionals. The purpose of this study is to investigate the views of physicians on the usefulness, ease of use and user satisfaction of the eHealth applications and especially the e-prescription system. Data were collected by using a 5-point Likert-scale questionnaire. The study indicated that the usefulness, ease of use and user satisfaction of eHealth applications: a)are rated at moderate levels and b) are not affected by characteristics such as gender, age, education, years of practicing the medical profession, the type of medical practice and the use of different electronic applications.
Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data
Authors: Shah-Mohammadi Fatemeh , Finkelstein Joseph
Published: June 2023

Chronic Obstructive Pulmonary Disease (COPD) exacerbation exhibits a set of overlapping symptoms with various forms of cardiovascular disease, which makes its early identification challenging. Timely identification of the underlying condition that caused acute admission of COPD patients in the emergency room (ER) may improve patient care and reduce care costs. This study aims to use machine learning combined with natural language processing (NLP) of ER notes to facilitate differential diagnosis in COPD patients admitted to ER. Using unstructured patient information extracted from the notes documented at the very first hours of admission to the hospital, four machine learning models were developed and tested. The random forest model demonstrated the best performance with F1 score of 93%.
Organizational and Human Factors in Green Medical Informatics – A Case Study in Dutch Hospitals
Authors: Sijm-Eeken Marieke , Marcilly Romaric , Jaspers Monique , Peute Linda
Published: June 2023

Medical Informatics brings methods and solutions that could support reducing healthcare’s ecological footprint. Initial frameworks for Green Medical Informatics solutions are available, however these do not address organizational and human factors. Including these factors in evaluation or analysis of (technical) interventions aimed at making healthcare more sustainable, is essential for improving usability as well as effectiveness of these interventions. Interviews with healthcare professionals from Dutch hospitals led to preliminary insights into which organizational and human factors impact the implementation and adoption of sustainable solutions. Results indicate that forming multi-disciplinary teams is considered an important factor for realizing intended outcomes in terms of reducing carbon emissions and waste. Some other key factors mentioned are formalizing tasks, allocating budget and time, creating awareness and changing protocols to promote sustainable diagnosis and treatment procedures.
A Deep Learning Model for Classifying Histological Types of Colorectal Polyps
Authors: Panteris Vasileios , Kalles Dimitris , Verykios Vassilios S. , Vgenopoulou Stefani , Pierrakou Aikaterini , Dalainas Ilias , Feretzakis Georgios
Published: June 2023

In this study a deep learning architecture based on a convolutional neural network has been evaluated for the classification of white light images of colorectal polyps acquired during the process of a colonoscopy, to estimate the accuracy of the optical recognition of histologic types of polyps. Convolutional neural networks (CNNs), a subclass of artificial neural networks that have gained dominance in several computer vision tasks, are gaining popularity in many medical fields, including endoscopy. The TensorFlow framework was used for implementing EfficientNetB7, which was trained with 924 images, drawn from 86 patients. 55% of the polyps were adenomas, 22% were hyperplastic, and 17% were lesions with sessile serrations. The validation loss, accuracy, and AUC ROC were 0.4845, 0.7778, and 0.8881 respectively.
Creative Art Therapy as an Efficient Way to Improve the Well-Being of People Living with Dementia
Authors: Zilidou Vasiliki , Petsani Despoina , Billis Antonis , Bamidis Panagiotis
Published: June 2023

Dementia is characterized by a decline in cognition and loss of functional abilities. It is becoming more and more prevalent which places a tremendous strain on the health and social care systems, in parallel the caregivers are under a lot of stress. Engaging in creative activities such as painting, drawing, dance, music, and drama can help reduce stress, anxiety, and depression, and promote a sense of can be beneficial for patients with dementia as it can help them maintain their cognitive abilities. Educating people with dementia, their relatives, and professionals to improve their quality of life through innovative creative arts therapies such as music, dance, and drama supported by digital tools is an invaluable resource for people and organizations seeking to improve their wellness. Furthermore, it is highlighted the value of involving family members and caregivers in the therapeutic process, recognizing their critical role in supporting the well-being of people with dementia.