bluuebunny/crossref_metadata_2025 huggingface dataset:
Proses Berpikir Refraktif Siswa dalam Menyelesaikan Masalah Matematika Ditinjau dari Tipe Kepribadian Extrovert
Authors: Sari Putri Diana , Putra Eric Dwi , Sulisawati Dwi Noviani
Published: June 2022

Penelitian ini bertujuan untuk menggambarkan secara jelas tentang proses berpikir refraktif siswa extrovert dalam menyelesaikan masalah matematika. Penelitian ini merupakan penelitian kualitatif dengan subjek penelitian adalah siswa bertipe kepribadian extrovert dari siswa kelas IX D SMP Negeri 5 Jember.Â  Teknik pengumpulan data menggunakan wawancara dan tes. Data yang diperoleh dianalisis berdasarkan indikator berpikir refraktif dengan menggunakan triangulasi waktu. Penelitian dilakukan dari Oktober 2021 sampai November 2021. Hasil penelitian menunjukkan bahwa siswa dengan kepribadian extrovert dapat mengumpulkan informasi, menafsirkan informasi, serta menghubungkan informasi pengetahuan sebelumnya yang telah dimiliki untuk menyelesaikan soal. Pada proses penyelesaian, siswa extrovert dapat mengajukan 2 alternatif solusi penyelesaian, kemudian mengeliminasi alternatif tersebut untuk memperoleh solusi penyelesaian terbaik. Selanjutnya, siswa extrovert dapat menyelesaikan soal berdasarkan strategi yang dipilihnya, menentukan jawaban dengan tepat serta menyimpulkannya dengan valid. Hal ini menunjukkanÂ  siswa extrovert mampu berpikir refraktif sesuai dengan indikator berpikir refraktif.
Crisis in Modern teaching: What went wrong?
Authors: Radaev Vadim
Published: June 2022

Crisis in modern teaching is examined as a result of an inflow of the new generations of university students in the 2010s. This crisis is reflected in demolition of traditional text culture, progressing rejection of the cultural capital passive accumulation, emergence of the alternative educational programs, new requirements to the teaching materials, increasing difficulties in keeping attention of the students, erosion of their sustainable motivation, noticeable decline of the teachers’ authority, persistent attempts to question the assessment systems, spread of new ethic, and strengthening of students’ intentions to defend their rights.
Goffman as We Remember
Authors: Sokolov Mikhail M.
Published: June 2022

Has Goffman influenced the development of contemporary sociology? On the one hand, he remains a most widely read and the most candidly worshiped figure in the XX century social science. On the other hand, the disciplinary “memes” associated with him, are at best utterly simplified (“the dramaturgical perspective”), and at worst completely misleading (widespread understanding of “frame” as synonymous with a definition of a situation). The most immediate continuation of his work can be found in sociolinguistics, not in sociology. Goffman’s strange status of a milestone, which is remembered, but not followed, can be explained by the changing sociologists’ implicit understanding of their discipline mission, which they, however, are not ready to embrace completely.
Vyacheslav Ivanov and the Phenomenon of Byronism: Aspects of Liberty
Authors: Muratova Yaroslava Yu.
Published: June 2022

The subject-matter of the article is the phenomenon of Byronic work as it is perceived by the Russian outstanding poet-symbolist Vyacheslav Ivanov, particularly the issue of liberty in its specific form of Byronism. It is underlined that in Romanticism the term “liberty” has several gradations – liberty, freedom, independence. In Russian culture Pushkin’s initial evaluation of Byron has been very influential, it combined the admiration of his struggle for independence, appreciation of his style and shrewd criticism of Byronic characters. The Pushkin view of Byron’s legacy was later adopted and developed by Dostoevsky in his Pushkin Speech and Vyacheslav Ivanov in several articles – Byron and the Idea of Anarchy, On Pushkin’s The Gypsies, The phenomenon of Byronism in Russian Consciousness, and the Novel in Verse. The article focuses in particular on the ideas of Ivanov about anarchy as the highest form of liberty with regard to Byron’s last completed poem The Island.
From Moravia to Pskov: Text and Extratexts of the St. Sophia Triodion
Authors: Krysko Vadim
Published: June 2022

The article is devoted to the analysis of a previously unpublished caption to the drawing in the Triodion manuscript Nr. 84 of the collection of the Cathedral of St Sophia in the Russian National Library, St Petersburg, and to the study of paleographic, orthographic and linguistic features of this codex. Based on paleographic data, the Sophia Triodion should date back to the second half of the 14th century. The identification of one of the handwritings of the manuscript with the main handwriting of the Service Menaia Nr. 101, 106, and 111 from the collection of the Synodal Typography in the Russian State Archives of Early Acts, Moscow, allows placing the codex Soph. 84 in the circle of manuscripts associated with the famous Pskov scriptorium of Andrei, priest of the St. Nicholas Church. The orthographic analysis of the handwritings presented in Soph. 84 shows that the scribes of most of the manuscript (before fol. 199 and after fol. 230) are opposed as rather conservative for the 14th century to the scribes who copied the ff. 199–230. Perhaps the scribes of this “conservative&8j1; part sought to accurately convey the orthographic features of the ancient antigraph of Triodion, which, as some researchers believe, dates back to the Moravian period of the development of Slavic writing; the latter thesis is confirmed by some Western Slavic linguistic features preserved by the text of the Soph. 84. At the same time, all four scribes have interspersed phonetic dialectisms: tsokanye (ts–ch merger), zhg < *zdj/*zg(i) and a single example of the merger of whistling and hushing consonants – the most important argument in favor of the Pskov origin of the manuscript.
The Dichotomy of Land Laws in South Africa: The Challenges Faced by Women in Accessing Land
Authors: A Mubecua Mandla , Simphiwe Nojiyeza Innocent
Published: June 2022

In sub-Saharan Africa (SSA) and other parts of the world, women rely on farming for the generation of their livelihood. However, their effort is limited by the dichotomy of land laws (statutory and customary land laws). The statutory land law promotes equality between men and women, giving women the right to buy, sell and inherit land. On the other hand, customary land law is grounded in patriarchal notions, where land is only allocated to a male figure as the head of the household. This law is the one that mostly supports men and rejects women. It is against this background that the present study argues that the dichotomy of land laws affects women. As a result, they experience a higher level of poverty than men. The present article used the legal pluralism theory to explain the existence of two different land laws in South Africa. Additionally, the study relied extensively on secondary sources as means of collecting relevant and required data. It employed strict textual analysis of the available literature relevant to the challenges of women in land ownership. The findings of the study show that the existence of customary law affects women who rely heavily on farming for their survival. On the basis of these, the study recommends that even though there are different land rights, the government should develop programmes that will ensure simultaneous operationalisation of these land laws. In addition, as much as there can be two laws that govern South African land, they should not contradict each other. Secondly, the land should be inheritable by both the male and female in a household.
Locked in Abuse: Intimate Partner Violence against Women during the COVID-19 Pandemic
Authors: Mkhize Simangele , Nomathemba Sibisi Nomakhosi
Published: June 2022

Abstract The whole world has been affected by the COVID-19 pandemic that has held the health and livelihoods of people in its grip since 2020. In their initial response to the pandemic, governments throughout the world implemented social distancing restrictions, also referred to as lockdown, that required people to remain at home to prevent the spread of the virus. Intimate partner violence is a persistent challenge in South Africa and the COVID-19 crisis and lockdown measures have caused great concerns about their impact on women and domestic issues, especially those who reside with violent partners. This paper attempts to explore the impact of intimate partner violence on women during the COVID-19 lockdown period in South Africa. A qualitative method was used to collect data from previous studies, news reports, and two social media platforms. Due to COVID-19 restrictions, data from 2020 and 2021 data were collected from Facebook and Twitter. Keywords such as “gender-based violence”, “GBV during lockdown”, “intimate partner violence”, “abused women”, and hashtags with the words “stopkillingwomen”, “menaretrash”, “justiceforwomen”, and “GBV” were used to find information. To augment the findings of the study, data were also collected from reports by the government of South Africa that were issued since the beginning of lockdown in March 2020 as well as peer-reviewed scholarly articles. The findings showed that most victims of gender-based violence (GBV) lived with abusive partners during the lockdown. The Minister of Police supported the findings during a media briefing, mentioning that the number of gender-based violence complaints continued to remain high during lockdown. People on social media posted emotional messages about this topic and generally shared their anger that victims of GBV do not get justice as the perpetrators do not get sentenced. The study recommends that GBV in South Africa should be addressed more practically. Moreso, laws should be more rigorously enforced to bring perpetrators to book and to protect any potential female victims from any form of abuse, especially GBV.
On Vocabulary Learning Strategies in ESP: A Students’ Perspective
Authors: Zamfir Tania
Published: June 2022

The paper discusses the role of vocabulary learning in English for Specific Purposes. When learning ESP, vocabulary is viewed as a micro-skill

that needs to be developed, while in ESP teaching, we may speak of semitechnical vocabulary (Baker 1988) characterized by its association with a specific subject area, which shares characteristics of both technical and core vocabulary. The focus of this paper is to identify the main vocabulary problems faced by students in ESP. The investigation will reveal that the chief problem faced by ESP students is their narrow knowledge of vocabulary, which leads to difficulties in speaking and understanding oral and written messages.
Managing Exchange Rate Volatility during Political Crises
Authors: Darie F.C. , Tache I.
Published: June 2022

The goal of this paper is to show how the exchange rate volatility could be managed during political crises, using as a case study the fragile

the political relationship between USA and Turkey between 2014-2019. The Turkish Lira has dramatically dropped against the US dollar to a record low level in August 2018. The Turkish president accused the American president of economic war, insisting that his country would survive an economic assault, but neglecting to comfort financial markets (worried about the breakdown of the national currency of a crucial emerging economy). Meanwhile, investors feared that a financial crisis could spread throughout Europe. Fears of contagion remained high, although the central bank of Turkey pledged to provide liquidity for Turkish banks. In this background, this paper tries to find if different specifications of univariate GARCH models can anticipate volatility in the foreign exchange market. Our study uses estimates from a symmetric GARCH model, namely GARCH (1,1) for the TRY/USD exchange rate. The data set was obtained from “Investing.com” and covers

the period January 2014 – to October 2019. This study shows that GARCH (1, 1) can be successfully applied in modeling and forecasting the volatility trend of the currencies and so in exchange rate administration.
Mathematical Expression of Internode Characteristics of Yellow Ampel Bamboo (“Bambusa vulgaris” var. Striata)
Authors: Mulyana B. , Reorita R.
Published: June 2022

Most bamboo research has focused on growth performance, physic-chemical attributes, and biomass estimation. There are few studies on elaborating the biometrics of bamboo, especially in internodes mathematical expression. In this study, we revealed the mathematical expression of bamboo internode along the culm. We used 30 samples of culms and cut each culm by its internodes. A total of 928 sample internodes were measured for the outer diameter, wall thickness, and length of internodes. The findings showed that the mathematical expression for two-dimensional culm morphometric was a two and three-order function. In contrast, the three and four-dimensional culm morphometric were a four-order function. Moreover, the relationship between relative internode number (RIN) and relative internode length (RIL), and relative cumulated internode length (RCIL) showed a third-order function.
EVALUASI PENGGUNAAN ANTIBIOTIKA PADA PASIEN LEUKEMIA LIMFOBLASTIK AKUT DENGAN DEMAM NEUTROPENIA DI RUMAH SAKIT UMUM DAERAH ABDUL WAHAB SJAHRANIE SAMARINDA
Authors: Simbolon Octaviana Maria , Geograf Liniati
Published: June 2022

ABSTRACT

The use of antibiotics is one of the management of neutropenic fever in patients with acute

lymphoblastic leukemia (ALL). Irrational and excessive antibiotics can promote resistance to

certain bacteria. The aim of this study was to evaluate the use of antibiotics given to ALL patients

with neutropenic fever qualitatively and quantitatively. This type of observational research was

conducted with a descriptive method using a cross-sectional design. Retrospective data collection

from medical records of ALL patients who received antibiotics during 2017-2018. The quality of

antibiotic use was analyzed using the Gyssens method, while the quantity of antibiotic use was

analyzed using the DDD method per 100 bed days. Based on the results of the study of 7 ALL

patients with neutropenic fever, the rational (category 0) use of antibiotics was 50% and the

irrational (category I-IV) use of antibiotics was 50%. The use of inappropriate antibiotic dose (category IIA) was 25%, the use of the antibiotic inaccurate interval of use (category IIB) was

10%, and there was no indication that antibiotic use (category V) was 15%. Quantitative

evaluation of the use of antibiotics using the DDD method per 100 bed days showed that the total

use of antibiotics was 7 types with a DDD value of 100 patient days of 19.15. The most widely used

antibiotic is the cephalosporin class, namely cefotaxime with a DDD value of 6.51.

Keywords: antibiotics, leukemia, quality, quantity
AKTIVITAS ANTIOKSIDAN EKSTRAK KULIT PISANG KEPOK, PISANG MAS DAN PISANG NANGKA MENGGUNAKAN METODE DPPH
Authors: Rahmi Azimatur , Hardi Nadya , Hevira Linda
Published: June 2022

ABSTRACTBanana is one of the most common crops in Indonesia. Banana peel contains phenolic antioxidant compounds. This study used extraction, DPPH, and spectrophotometry to determine the potential antioxidant activity of three types of banana peels, namely kepok banana peel, trout banana peel, and jackfruit banana peel. Banana peel simplisia powder was extracted by maceration using 96% ethanol as solvent. The resulting banana peel extract was then phytochemical screening for flavonoid compounds, tannins, alkaloids, steroids, and terpenoids. This antioxidant activity test used a qualitative method using TLC and quantitative method with reagent of 0.2 N DPPH by UVVis spectrophotometry. The results showed that the three banana peels tested had antioxidant activity and it is classified as active. The IC50 values for the ethanolic extracts of kepok banana peel, trout banana peel, and jackfruit banana peel were 9,702 ppm, 13,322 ppm and 10,747 ppm respectively. Ascorbic acid as a comparison obtained an IC50 value of 9,613 ppm. From the data obtained, kepok banana peel extract has the highest antioxidant than extract of trout banana peel, and jackfruit banana peel.Keywords: antioxidant, DPPH, jackfruit banana peel, kepok banana peel, trout banana peel
AKTIVITAS BAWANG PUTIH (Allium sativum L.) SEBAGAI AGEN ANTIBAKTERI
Authors: Kristiananda Debi , Allo Juvita Lisu , Widyarahma Veronica Arien , Lusiana Lusiana , Noverita Jeanne Magistra , Octa Riswanto Florentinus Dika , Setyaningsih Dewi
Published: June 2022

ABSTRACTGarlic (Allium sativum L.) has various potentials in overcoming diseases, one of which is as an antibacterial. The purpose of this study was to explore, analyze and review the activity of garlic (Allium sativum L.) as an antibacterial agent. This study uses a literature search method using search sites such as Google Scholar, Pubmed, ScienceDirect, AYU, NCBI, Elsevier, PlosOne, and Google Scholar. by entering keywords such as antibacterial, Garlic, and Allium sativum L. Garlic contains secondary metabolites that function as antibacterial agents such as alkaloids, tannins, saponins, flavonoids, allicin. Garlic has been shown to inhibit the growth of gram-positive and negative bacteria species Escherichia, Salmonella, Staphylococcus, Streptococcus, Klebsiella, Proteus, Bacillus, Clostridium, P. aeruginosa, K. pneumoniae and, Bifidobacterium lactis predominantly using the paper disk and well diffusion method.Keywords: Allium sativum L, Antibacterial, Diffusion, Garlic
Impact of Class I Software as Medical Devices (SaMDs) on Public Health
Authors: Machal Marlon Luca
Published: June 2022

There exist numerous low-risk class I SaMDs with CE marking under European Medical Device Directives (MDD). However, if the manufacturers will make any significant change to these class I SaMDs, the manufacturers shall comply with Medical Device Regulation (MDR) 2017/745 classifications. Class I SaMDs are self-declared without the need for notified body involvement. It is unclear how these devices are monitored if they will undergo any significant changes. Significant change may shift existing low-risk class I SaMDs to higher risk classification. In another hand, it is not clear if all class I SaMDs that are certified under MDD are registered with relevant EU Competent Authorities. Class I SaMDs may have an impact on public health if they are not known and monitored by European competent authorities.
Overview of Existing Tools for Extracting Health and Fitness Data from mHealth Apps
Authors: Khaled Mohamed , Sareban Mahdi , Kreuzthaler Markus , Schulz Stefan , Hussein Rada
Published: June 2022

Wearable sensors and mHealth apps collect fitness and health data outside of clinical settings. These data are essential for precision medicine. This paper addresses and analyzes the available tools for extracting health and fitness data from wearables and mHealth apps. We focus on the most common tools used for research, namely, the Open mHealth-Shimmer application and Fitrockr research platform.
Evaluating the Impact of Digital Game on Learning Medical Terminology of Paramedical Students: Protocol for a Randomized Controlled Trial
Authors: Mousavi Baigi Seyyedeh Fatemeh , Sarbaz Masoumeh , Marouzi Parviz , Kimiafar Khalil
Published: June 2022

This is a study protocol to evaluate the Impact of digital games on learning medical terminology of paramedical students. An unblinded randomized controlled trial (RCT) 2-arm, with 1:1 allocation ratio was randomized by 60 students at the faculty of paramedical science at Mashhad University of Medical Science(MUMS), Iran, who had their medical terminology course at the time of this study, would enter the study. To evaluate the game, Participants in both groups attended typical teaching in traditional instructional activities for two months; however, the intervention group played the smartphone-based digital game during the course. The knowledge level of students in the control and intervention group were measured before and immediately after the intervention using the pre-designed questionnaire. This study was approved by the ethical committee of MUMS (approval number IR.MUMS.REC.1400.336).
The ERN-LUNG Population Registry: Aims, Software-Implementation and First Results
Authors: Schaaf Jannik , Zieschank Axel , Goebel Jens , Wagner Thomas Otto Friedrich , Pennekamp Petra , Omran Heymut , Storf Holger
Published: June 2022

The ERN-LUNG Population Registry is a new European-wide collection of patients with rare lung diseases, allowing patients to register online in the registry. Medical experts can recruit patients in the registry for disease-specific registries and care options. The Population Registry was implemented on the basis of the open source software OSSE and extended by functions for the self-registration of patients. Patients were invited through patient organizations between May and November 2022. 115 patients registered online in the registry, whereas 60 of them provided full data in the registry form. After first months of usage, further dissemination of the registry is necessary to reach more patients, e.g. by recruiting them via medical centres directly. Improvements of the registry should be conducted to achieve a higher number of fully completed forms.
Data Cleaning Process for mHealth Log Data to Inform Health Worker Performance
Authors: Savai Simon Muhindi , Hasan Md Kamrul , Kamano Jemimah , Misoi Lawrence , Wakholi Peter , Were Martin C.
Published: June 2022

Log data, captured during use of mobile health (mHealth) applications by health providers, can play an important role in informing nature of user engagement with the application. The log data can also be employed in understanding health provider work patterns and performance. However, given that these logs are raw data, they require robust cleaning and curation if accurate conclusions are to be derived from analyzing them. This paper describes a systematic data cleaning process for mHealth-derived logs based on Broeck’s framework, which involves iterative screening, diagnosis, and treatment of the log data. For this study, log data from the demonstrative mUzima mHealth application are used. The employed data cleaning process uncovered data inconsistencies, duplicate logs, missing data within logs that required imputation, among other issues. After the data cleaning process, only 39,229 log records out of the initial 91,432 usage logs (42.9%) could be included in the final dataset suitable for analyses of health provider work patterns. This work highlights the significance of having a systematic data cleaning approach for log data to derive useful information on health provider work patterns and performance.
Effectiveness of Serious Games for Visuospatial Abilities in Elderly Population with Cognitive Impairment: A Systematic Review and Meta-Analysis
Authors: Abd-Alrazaq Alaa , Abuelezz Israa , Hassan Asma , Khalifa Mohamed , Ahmed Arfan , Aldardour Ahmad , Al-Jafar Eiman , Alam Tanvir , Shah Zubair , Househ Mowafa
Published: June 2022

We explore the effectiveness of serious games for visuospatial abilities among older adults with cognitive impairment by conducting a systematic review. Out of 548 identified publications, seven randomized controlled trials (RCTs) were included in this review. According to a meta-analysis of four RCTs, there is no statistically significant difference (p=0.28) in visuospatial abilities between serious game and control groups. Further, the included RCTs noted no statistically significant difference in the visuospatial ability when comparing serious games to conventional exercise (one study) and other serious games (two studies). One RCT demonstrated a statistically significant effect of serious games on the visuospatial ability when compared with conventional cognitive training. This review could not prove the effectiveness of serious games in enhancing visuospatial abilities for older adults with cognitive impairment. Thus, serious games should not be offered or used for enhancing visuospatial abilities amongst the elderly population with cognitive impairment. More robust RCTs are needed to make firm conclusions on the efficacy of serious games.
Beyond the Brain: MIDS Extends BIDS to Multiple Modalities and Anatomical Regions
Authors: Saborit-Torres Jose Manuel , Nadal-Almela Silvia , Montell-Serrano Joaquim Angel , Oliver-Garcia Elena , Carceller Hector , Gómez-Ádrian Jon Ander , Caparrós-Redondo Marisa , García-García Francisco , Domenech-Fernández Julio , De La Iglesia-Vayá Maria
Published: June 2022

Brain Imaging Data Structure (BIDS) provides a valuable tool to organise brain imaging data into a clear and easy standard directory structure. Moreover, BIDS is widely supported by the scientific community and has been established as a powerful standard for medical imaging management. Nonetheless, the original BIDS is restricted to magnetic resonance imaging (MRI) of the brain, limiting its implantation to other techniques and anatomical regions. We developed Medical Imaging Data Structure (MIDS), conceived to extend BIDS methodology to other anatomical regions and multiple imaging systems in these areas. The MIDS standard was developed to store and manage medical images as an extension of BIDS. It allows the user to handily save studies of multiple anatomical regions and imaging techniques. Besides, MIDS improves the classification of multiple images within the structure, allowing the possibility to unify them in a single study to apply on them preprocessing or artificial intelligence algorithms. Finally, the results generated are saved in the derivatives folder.
The Effects of Health Behavior Changing Program for Systolic Blood Pressure Reduction Among Thai Buddhist Monks, Thailand
Authors: Noo-In Supattra , Somdee Thidarat , Srichompoo Chitkamon , Khiewkhern Santisith
Published: June 2022

Thai Buddhist monks’ lifestyle has made them likely to get non-communicable diseases. Therefore, the Ministry of Public Health of Thailand has conducted a health behavior-changing program for non-communicable diseases prevention among Thai Buddhist monks. This study aims to examine the effectiveness of the health behavior-changing Program for Non- communicable diseases prevention among 4,786 Thai Buddhist monks who were risk group. They were on the program for 6 months. from January 1st, 2021 to June 30th, 2021. Descriptive statistics were used to describe the characteristics of the subjects and Paired t-test was used to compare the mean difference. The results showed that the health behavior-changing program can reduce Fasting Blood Sugar, Body Mass Index, Risk score, Hypertension, and Smoking scores. Therefore, this program should be used for reducing risk factors of non-communicable diseases among Thai monks in the Upper Northeast region of Thailand.
Integrating Human Patterns of Qualitative Coding with Machine Learning: A Pilot Study Involving Technology-Induced Error Incident Reports
Authors: Borycki Elizabeth M. , Farghali Amr , Kushniruk Andre W.
Published: June 2022

The objective of this research was to develop a reproducible method of integrating human patterns of qualitative coding with machine learning. The application of qualitative codes from the technology-induced error and safety literatures to the analysis of incident reports was done successfully, helping to identify the factors that lead to an error as well as the errors themselves. The method described in this paper may provide additional insights into understanding technology-induced errors.
Automatic Wound Type Classification with Convolutional Neural Networks
Authors: Malihi Leila , Hüsers Jens , Richter Mats L. , Moelleken Maurice , Przysucha Mareike , Busch Dorothee , Heggemann Jan , Hafer Guido , Wiemeyer Stefan , Heidemann Gunther , Dissemond Joachim , Erfurt-Berge Cornelia , Hübner Ursula
Published: June 2022

Chronic wounds are ulcerations of the skin that fail to heal because of an underlying condition such as diabetes mellitus or venous insufficiency. The timely identification of this condition is crucial for healing. However, this identification requires expert knowledge unavailable in some care situations. Here, artificial intelligence technology may support clinicians. In this study, we explore the performance of a deep convolutional neural network to classify diabetic foot and venous leg ulcers using wound images. We trained a convolutional neural network on 863 cropped wound images. Using a hold-out test set with 80 images, the model yielded an F1-score of 0.85 on the cropped and 0.70 on the full images. This study shows promising results. However, the model must be extended in terms of wound images and wound types for application in clinical practice.
Evaluating a Smart Healthcare System Design Through Participatory Approach
Authors: Webber Thais , Bowles Juliana , Constantinides Argyris , Belk Marios , Morley Emma
Published: June 2022

Advances in computer communication technology have enabled the rapid growth of e-health services for delivering healthcare, such as facilitating online consent and data sharing between patients and health professionals. Developing a patient-centric healthcare system is challenging because by necessity, it should be secure, reliable, and resilient to cyber threats, whilst remaining user-friendly. Key to any development aiming for a refined proof-of-concept (PoC) system is the pursuit of comprehensive public system testing and evaluation. This paper focuses on the methodology and results obtained from the participatory approach adopted by the EU H2020 project Serums to evaluate and demonstrate the effectiveness of a smart healthcare system based on emergent technologies like blockchain, data lake, and multi-factor authentication. We discuss the challenges faced by remote PoC system evaluations with end-users as a consequence of the Covid-19 pandemic.
Adaptation of HL7 FHIR for the Exchange of Patients’ Gene Expression Profiles
Authors: Auer Florian , Abdykalykova Zhibek , Müller Dominik , Kramer Frank
Published: June 2022

High-throughput technologies, especially gene expression analyses can accurately capture the molecular state in patients under different conditions. Thus, their application in clinical routine gains increasing relevance and fosters patient stratification towards individualized treatment decisions. Electronic health records already evolved to capture genomic data within clinical systems and standards like FHIR enable sharing within, and even between institutions. However, FHIR only provides profiles tailored to variations in the molecular sequence, while expression patterns are neglected although being equally important for decision making. Here we provide an exemplary implementation of gene expression profiles of a microarray analysis of patients with acute myeloid leukemia using an adaptation of the FHIR genomics extension. Our results demonstrate how FHIR resources can be facilitated in clinical systems and thereby pave the way for usage for the aggregation and exchange of transcriptomic data in multi-center studies.
Do Health Technology Safety Issues Vary by Vendor?
Authors: Borycki Elizabeth M. , Farghali Amr , Kushniruk Andre W.
Published: June 2022

There is a need to determine the relative similarity and differences in safety issues across specific types of software and medical devices in order to develop standardized solutions that can be used across these technologies. Over the past several years, health informatics researchers have identified differing types of technology-induced errors or safety issues. This work has led to a literature that has been effective in identifying varying technology-induced errors. Less effort has been made in attempting to understand if there are common types of safety issues and outcomes across vendors for specific types of technology such as electronic health records (EHRs). Our findings demonstrate that some safety issues are common across the same type of software. The findings suggest there is a need to develop standardized approaches to managing technology-induced errors.
A Hand Motion Tracker Supporting Home-Based Rehabilitation for People with Hemiplegia due to Stroke
Authors: Katzis Konstantinos , Psychouli Pavlina
Published: June 2022

Modern Wearable Medical Devices (WMDs), implement capabilities that have contributed significantly to patient outcomes, as well as quality of life. Using such devices can be beneficial for many patients, especially during the time of the pandemic where everyone had to isolate at home. This paper presents a proof of concept of a new low-cost technology-based approach to support home-based rehabilitation for people with hemiplegia aiming to assess the effectiveness of their home-based exercises thus making telerehabilitation sessions more effective.
Mapping SNOMED CT Codes to Semi-Structured Texts via an NLP Pipeline
Authors: Kunz Sebastian , Zgraggen Cyril , Sariyar Murat
Published: June 2022

In the project presented here, we used NLP tools for annotating German medical trainings documents with SNOMED CT codes. Following research question was addressed: Is it possible to automate the annotation of training documents with an NLP pipeline especially designed for this task but requiring translation into English? The goal of our stakeholder, an institution responsible for the continuing education of physicians, was to facilitate the switch between different medical trainings programs by coding the same requirement with the same SNOMED CT code, even if the wording is different. We first describe how we chose the concrete NLP tools, after which the concrete steps for implementing our prototype are outlined: the NLP pipeline construction, the implementation, and the validation. We infer three important lessons from our results: (i) self-supervision is no free lunch and should be based on a sophisticated task, (ii) the translation via DeepL can be too context-dependent for a peculiar use case, and (iii) ontology extraction can increase efficiency as well as accuracy.
Medical Device Incident Reports by Professional Users in Finland 2014–2021
Authors: Kumpuvaara Krista , Jormanainen Vesa , Vainiola Tarja , Ikonen Tuija S.
Published: June 2022

Medical Device incident reporting is a legal obligation for professional users in Finland. We analyzed all medical device incident reports recorded into the national incident repository from January 2014 to August 2021. Among the total 5,897 records, annual numbers of incident reports varied between 463 and 1,190. Approximately 80% of the medical device incident reports were near misses, 18.7% were person injuries and 1.3% deaths. The number of annual medical device incident reports between hospital districts varied more than expected when related to the population of catchment area. There was a tendency towards lesser reports per population from smaller hospital districts. In conclusion, medical device incident reporting activity of the professional user varied both annually and geographically. A high number of incidents caused person injuries or even death, which arouses safety concerns. A further analysis is required to explore the causes behind our findings.
Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit
Authors: Sakagianni Aikaterini , Feretzakis Georgios , Kalles Dimitris , Loupelis Evangelos , Rakopoulou Zoi , Dalainas Ilias , Fildisis Georgios
Published: June 2022

Multidrug resistant infections in intensive care units represent a worldwide problem with adverse health effects and negative economic implications. As artificial intelligence techniques are increasingly applied in diagnosing, treating, and preventing antimicrobial resistance, in this study, we explore the use of association rule mining in the antibiotic resistance profile of critically ill patients suffering from multidrug resistant infections.
A Formal Model for the FAIR4Health Information Architecture
Authors: Perbix Mona , Löbe Matthias , Stäubert Sebastian , Sinaci A. Anil , Gencturk Mert , Quintero Miriam , Martinez-Garcia Alicia , Alvarez-Romero Celia , Parra-Calderon Carlos L. , Winter Alfred
Published: June 2022

In the EU project FAIR4Health, a ETL pipeline for the FAIRification of structured health data as well as an agent-based, distributed query platform for the analysis of research hypotheses and the training of machine learning models were developed. The system has been successfully tested in two clinical use cases with patient data from five university hospitals. Currently, the solution is also being considered for use in other hospitals. However, configuring the system and deploying it in the local IT architecture is non-trivial and meets with understandable concerns about security. This paper presents a model for describing the information architecture based on a formal approach, the 3LGM metamodel. The model was evaluated by the developers. As a result, the clear separation of tasks and the software components that implement them as well as the rich description of interactions via interfaces were positively emphasized.
Using Association Rules in Antimicrobial Resistance in Stone Disease Patients
Authors: Manolitsis Ioannis , Feretzakis Georgios , Tzelves Lazaros , Kalles Dimitris , Loupelis Evangelos , Katsimperis Stamatis , Kosmidis Thanos , Anastasiou Athanasios , Koutsouris Dimitrios , Kofopoulou Stavroula , Verykios Vassilios S. , Skolarikos Andreas , Varkarakis Ioannis
Published: June 2022

Association rule mining is a very popular unsupervised machine learning technique for discovering patterns in large datasets. Patients with stone disease commonly suffer from urinary tract infections (UTI), complicated by the emergence of antimicrobial resistance (AMR), due to the excessive use of antibiotics. In this study, we explore the use of association rule mining in the AMR profile of patients suffering from stone disease.
Utilization of Digital Health Dashboards in Improving COVID-19 Vaccination Uptake, Accounting for Health Inequities
Authors: White Brianna M. , Shaban-Nejad Arash
Published: June 2022

The COVID-19 pandemic has introduced new challenges to the immunization sector, including highlighting already existent inequities related to vaccine access and delivery. Digital health solutions such as data dashboard systems to track and inform vaccine promotion and distribution can improve public health response. In this article, we review a few COVID-19 data dashboards and discuss how they played key roles in pandemic management. Innovative translation of their displays could strengthen the response to numerous public health concerns, including equitable COVID-19 vaccination distribution/uptake and preparedness for future disease outbreaks.
Exploratory Clustering for Emergency Department Patients
Authors: Feretzakis Georgios , Sakagianni Aikaterini , Kalles Dimitris , Loupelis Evangelos , Tzelves Lazaros , Panteris Vasileios , Chatzikyriakou Rea , Trakas Nikolaos , Kolokytha Stavroula , Batiani Polyxeni , Rakopoulou Zoi , Tika Aikaterini , Petropoulou Stavroula , Dalainas Ilias , Kaldis Vasileios
Published: June 2022

Emergency department (ED) overcrowding is an increasing global problem raising safety concerns for the patients. Elaborating an effective triage system that properly separates patients requiring hospital admission remains difficult. The objective of this study was to compare a clustering-related technique assignment of emergency department patients with the admission output using the k-means algorithm. Incorporating such a model into triage practice could theoretically shorten waiting times and reduce ED overcrowding.
Application of Machine Learning Techniques to Examine Social Service Needs Among Hispanic Family Caregivers of Persons with Dementia
Authors: Yoon Sunmoo , Mendes Alexandra , Burgio Louis , Mittelman Mary , Dunner Ilana , Levine Jed A. , Hoyos Carolina , Tipiani Dante , Ramirez Mildred , Teresi Jeanne A. , Luchsinger José A.
Published: June 2022

We applied machine learning algorithms to examine the relationship between demographics and outcomes of the social work services used by Hispanic family caregivers of persons with dementia recruited for a clinical trial in New York City. The social work service needs were largely concentrated on instrumental support to gain access to the healthcare system rather than other concrete services (e.g., housing or food programs) or to address psychological needs among the caregivers with relatively higher income. A finding from the machine learning approach was that among those who receive medical-related social work services, frequent users (≥10 times) with high family friend support(>4) were more likely than frequent users without such support to have their issues resolved (Accuracy: 81.9%, AUC: 0.82, F-measure: 0.86 by J48). Even though half of the participants received social work services multiple times, the needs of the caregivers remained unmet unless they sought social work services frequently (more than ten times).
Evaluation of the Discrimination Ability of the Decision Rule Allowing to Predict the Probability of Death in Oncosurgical Patients with Comorbid Pathology
Authors: Vasilyeva Irina V. , Udalov Yuri D. , Bachtina Angelina S.
Published: June 2022

At the moment, there are many decision rules and mathematical models that reduce the risk of postoperative mortality and complications. A small part of such medical mathematical models (scales) is successfully used in practice, but there is also a part that eventually remains on the shelves and becomes morally obsolete. The purpose of this work is to evaluate the discrimination ability of the prognostic model underlying the decision rule that allows ranking patients into groups with favorable and unfavorable outcomes and into a group of patients subject to preoperative preparation to maintain the performance of the mathematical model Oncoprognosis 1.0. The discrimination ability carried out by constructing an area under the Receiver Operating Characteristic (ROC) curve. The investigation allowed conduct that any decision rule requires revision over time, its clarification and, if necessary, adjustments and updates.
2D Anatomical Structure for COVID-19 Medical Images
Authors: Zimeras Stelios , Diomidous Marianna
Published: June 2022

For many clinical goals like surgical planning and radiotherapy treatment planning is necessary to understand the anatomical structures of the organ that is targeted. At the same time the 2D/3D shape of the organ is important to be reconstructed for the benefit of the doctors. For that reason, accurate segmentation techniques must be proposed to overcome the big data medical image storage problem. The main purpose of this work is to apply segmentation techniques for the definition of 3D organs (anatomical structures) when big data information has been stored and must be organized by the doctors for medical diagnosis. The processes would be implemented in the CT images from patients with COVID-19.
A Machine Learning Solution to Predict Elective Orthopedic Surgery Case Duration
Authors: Sahadev Divya , Lovegrove Thomas , Kunz Holger
Published: June 2022

We used surgery durations, patient demographic and personnel data taken from the East Kent Hospitals University NHS Foundation Trust (EKHUFT) over a period of 10 years (2010–2019) for a total of 25,352 patients that underwent 15 highest volume elective orthopedic surgeries, to predict future surgery durations for the subset of elective surgeries under consideration. As part of this study, we compared two different ensemble machine learning methods random forest regression (RF) and XGBoost (eXtreme Gradient Boosting) regression. The two models were approximately 5% superior to the existing model used by the hospital scheduling system.
A Conceptual Framework for Fetus Head Analysis Based on Ultrasound Images
Authors: Alzubaidi Mahmood , Agus Marco , Shah Uzair , Makhlouf Michel , Alyafei Khalid , Zaidi Ali , Househ Mowafa
Published: June 2022

Ultrasound images are the most used imaging methodologies in obstetrics to monitor the growth of a fetus during the gestation period. In particular, the obstetrician uses fetus head images to monitor the growth state and identify essential features such as Gestational age (GA), estimated fetus weight (EFW), and brain anatomical structures. However, this work requires an expert obstetrician, and it is time-consuming and costly. Therefore, we proposed an automatic framework by adopting a hybrid approach that combines three components i) automatic segmentation to segment the region of interest (ROI) in the fetus head, ii) measurement extraction to measure the segmented ROI, and iii) anomaly and features detection to predict fetus GA, EFW, and abnormality status.
Azerbaycan’da Hapsedilmiş Bir Aydın Ahmed Bey Pepinov (1893-1938)
Authors: AKARSLAN Zeynep
Published: June 2022

Rusya’da 1917 yılında yaşanan gelişmeler, Kafkasya halklarının bağımsızlık tarihi açısından dönüm noktası olması açısından önemlidir. Siyasi atmosferin hızla değiştiği bu dönemde önce Transkafkasya Seymi çatısı altında birleşen Kafkasya halkları bu birliğin kısa sürede dağılmasından sonra kendi bağımsız cumhuriyetlerini kurdu. Bu dönemde kurulan ve Azerbaycan Türklerinin tarihi açısından bir ilki teşkil eden bağımsız Azerbaycan Cumhuriyeti hem siyasi hem de sosyal birçok gelişmeyi bir arada yaşadı. Azerbaycan’ın bağımsızlığı için mücadele eden isimler 1918-1920 yılları arasındaki kısa bağımsızlık döneminde Azerbaycan tarihindeki yerlerini alırken bu isimlerden biri olan Ahmed Bey Pepinov ise henüz Türk literatüründe yerini bulamamıştır. Köklü bir aileden gelen Pepinov, iyi bir eğitim almış, sosyalist yönelimiyle hem Transkafkasya Seyminde hem de Azerbaycan Milli Meclisinde yer almıştır. Azerbaycan tarihi açısından önemli sayılabilecek görüşme, antlaşma ve konferanslarda Azerbaycan’ı temsil etmiş olan Pepinov hakkında Azerbaycan’da yapılan çalışmalar onu tanımamıza yardımcı olurken Türkiye’de bu konuda yapılmış müstakil bir çalışma bulunmamaktadır. Bu çalışmanın amacı, ekseriyeti Azerbaycan’da yazılmış olan kaynaklara dayanarak Ahmed Bey Pepinov’un Azerbaycan siyasi tarihindeki öneminin anlaşılmasını sağlamaktır.
Şehnâme-i Sultan Murad III (1582-1588) Minyatürlü Yazmasındaki Topkapı Sarayı Tasvirleri
Authors: ÇETİNASLAN Mustafa , BÜLBÜL Dilek
Published: June 2022

Şehnâme, İran tarihinin destansı bir dille anlatıldığı edebi bir eser olmanın ötesinde dünya milletlerini etkilemiş tarih, edebiyat ve görsel sanatları buluşturan bir edebi tür halini almıştır. Osmanlı-İran ilişkilerinin yoğunlaştığı 16. yüzyılda Osmanlı nakkaşhanesine giren şehnamelerin, kısa bir sürede anıtsal örnekleri üretilmiştir. Klasik Osmanlı minyatür üslûbunun doğuşu olarak kabul edilen 16. yüzyılın minyatürleri diğer İslâm minyatürlerinin kalıpçı ve bezemeci anlayışından sıyrılıp gerçekçi ve yalın bir anlatım diline ulaşmış, bu süreçte şehnameler de yeni bir görsel anlatım aracına dönüşmüştür. Bu araştırmada, Topkapı Sarayı Müzesi Kütüphanesinde bulunan ve Farsça şehnâmelerin son örneği olan Şehinşâhnâme II adıyla da bilinen Şehnâme-i Sultan Murad III adlı yazmanın Topkapı Sarayı’nı konu alan minyatürleri incelenmiştir (TSMK Bağdat 200). Topkapı Sarayı’nın tarihine tanıklık eden bu minyatürler ışığında sarayı oluşturan mekânların mimarî kurgusu ve günümüze gelene dek geçirdikleri değişimler incelenmiştir. Ayrıca günümüze ulaşamamış, ancak minyatürlerle varlığı kanıtlanan yapılar da mimarî özellikleri açısından ele alınmıştır. Çalışmada Topkapı Sarayı’nın Adalet Kasrı, Alay Köşkü, Arz Odası, Bâbüssaâde Kapısı, Divânhane (Kubbealtı), Yalı Köşkü ve saraya ismini veren Top Kapısı olmak üzere yedi ayrı mekân, 12 ayrı minyatüre göre tanımlanmıştır.