bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Apriori Algorithm to Determine Sales of Traditional Foods
Authors: Nurajizah Siti , Normah Normah , Nurfitriani Nurfitriani
Published: May 2023

Competition in the food sales industry is growing, making business owners have to be creative to increase sales turnover. Sales activities that occur every day make sales data increase. Researchers intend to make data on Traditional Restaurant as the basis for data mining processing on food sales using the apriori algorithm. The application of the Apriori Algorithm aims to find the most item combinations based on transaction data and then form association patterns from combinations of items. Association patterns are formed with a minimum support value of 10% and a minimum confidence value of 40% which results in 3 association rules and the most sold food products are Krupuk Bangka and Karedok with a support value of 0.105% and a confidence value of 0.583%
Mineralogy and Rock Response Analysis Approach to Mitigate Wellbore Stability issue in “B” Cluster of East Java Field
Authors: Andi Andi Andi
Published: May 2023

The instability of shales in drilled formations leads to serious operational problems with major economic consequences for petroleum exploration and production. It is generally has agreed that the nature of the clay minerals in shale formations is a primary causative factor leading to their instability, although the exact mechanism involved is more debatable. Currently, the principal cause of shale instability is considered to be volume expansion following the osmotic swelling of sodium smectite. However, illitic and Kaolinite shales may also be unstable, so that interlayer expansion cannot therefore be consider as a universal causative mechanism of shale instability. This review considers alternative scenarios of shale instability where the major clay minerals Kaolinite suspected to be a key success to mitigate the wellbore stability. It is found from the literature that the inhibited by the use of more concentrated Potassium-based fluids which is effectively shrink the thickness of the clay mineral surfaces in the pore walls but may differently responded by Kaolinite dominant clay. The use of soluble polymers would also encapsulate these clay mineral surfaces and so inhibit their hydration. In this scenario, the locus of action with respect to shale instability and its inhibition is moved from the interlamellar space of the smectitic clays to the charged external surfaces of the various clay minerals bounding the walls of the shale pores. Keywords: shale instability, smectitic shale, illitic shale, Kaolinitic shale.
La formación para la ciudadanía en igualdad de género en educación primaria
Authors: Serrano Arenas Denys , Ochoa Cervantes Azucena de la Concepción
Published: May 2023

La igualdad de género es un propósito desde las políticas educativas dirigidas a la eliminación de desigualdades socioculturales que limitan el ejercicio de derechos de la niñez. En la actualidad, perviven estereotipos de género que legitiman los roles ejercidos por niñas y niños que limitan las formas de participación y propician distintos niveles de exclusión en la convivencia escolar. El objetivo de este trabajo es analizar las percepciones de un grupo de estudiantes de sexto grado sobre la forma en que deben participar en las dinámicas escolares por su condición de género a fin de identificar los estereotipos que influyen en la práctica de su participación. Se realizó un estudio descriptivo mediante un cuestionario tipo Likert a 64 estudiantes. Los resultados muestran que se reproducen estereotipos de género que dotan a los niños de mayor facilidad y libertad para expresarse, así como para tomar decisiones. También se identificaron modificaciones en los roles de cuidado, dentro de los cuales los hombres comienzan a tener mayor injerencia. Estos estereotipos representan dificultades estructurales para el autorreconocimiento de las capacidades participativas de niñas y niños. Se recomienda tomar a la participación como elemento fundamental para el ejercicio de la ciudadanía en igualdad de género.
Résultats des autogreffes ostéochondrales dans les lésions ostéochondrales du dôme du talus : à propos de 27 cas et revue de la littérature
Authors: Lrhazi A. , Haddou M. , Kim P.P. , Roussignol X.
Published: May 2023

Introduction : Les lésions ostéochondrales du dôme du talus (LODT) sont des lésions fréquentes souvent associées à des traumatismes de la cheville qui posent un double problème diagnostique et thérapeutique. Les manifestations de ces lésions ne sont pas spécifiques, notamment la douleur, la tuméfaction, la raideur et les symptômes mécaniques de verrouillage et d’accrochage. Bien que l’histoire naturelle des LODT ne soit pas bien comprise, un traitement chirurgical est souvent nécessaire, en particulier dans les douleurs chroniques et aiguës avec des fragments intra-articulaires libres. L’utilisation des greffes ostéochondrales autologues (GOA) dans le traitement de ces lésions est une technique qui s’impose progressivement.

Patients et méthodes : Entre 2016 et 2019, 27 patients ont bénéficié d’une GOA pour la prise en charge des LODT. L’âge moyen des patients au moment de la chirurgie était de 26 ans (14 à 44 ans). Tous les patients ont été suivis pendant au moins un an. La durée moyenne de suivi était de 21 mois (12 à 48 mois). L’évaluation préopératoire et lors du suivi final a fait appel à l’American Orthopaedic Foot and Ankle Score.

Résultats : Les scores moyens AOFAS se sont améliorés en passant de 45 points en préopératoire à 83 points en postopératoire (72 à 96 points). Un de nos patients a signalé une douleur au genou après la chirurgie, et une patiente a nécessité une ablation de l’ostéosynthèse malléolaire médiale.

Conclusions : Selon cette étude, la GOA est unmoyen de traitement reproductible et efficace à court terme pour les grandes lésions ostéochondrales d’un certain volume du talus.
ЕВРОПЕЙСКАЯ КОРАНИСТИКА И БАШКИРСКИЙ ПЕРЕВОД КОРАНА
Authors: СУЯРГУЛОВ АЛИБАЕВИЧ НУРМУХАМЕТ
Published: May 2023

В книге рассматривается хронология издания Корана в Европе, а также башкирского перевода Корана. Исследуются отдельные аспекты своеобразия башкирского перевода в отличие от других переводов: фонетическая и лексическая близость башкирского перевода к арабскому оригиналу и др. Отдельно рассматриваются язык и стилистические формы коранической лексики. Предназначено для исследователей коранических текстов, а также широкого круга читателей.
ANALISIS POTENSI SUMBER ENERGI ANGIN DI DESA SIMAN KABUPATEN LAMONGAN: ESTIMASI MENGGUNAKAN PEMODELAN SISTEM TURBIN ANGIN
Authors: Maknunah Jauharotul , Anggraini Yussi , Mubarok Ahmad Husni , Rosady Siti Duratun Nasiqiati , Sari Eli Novita
Published: May 2023

Wind energy that can be utilized into electrical energy certainly requires sufficient wind speed so that the wind turbine can rotate and produce mechanical movement in the form of rotational torque which can then be converted into electrical energy. Before the application of the technology is carried out, this study is needed to examine the potential of wind energy produced in Siman Village, Lamongan Regency. To produce a power profile from wind energy sources, wind speed measurements are first carried out, followed by mechanical modeling and wind turbine electrical modeling. The maximum electric power generated from the simulation of electrical energy conversion using a wind turbine is 11.94 Watt with a maximum wind speed of 3.5 m/s. If converted in energy units, then in a day the wind energy that can be extracted into electrical energy is 286.56 Watt.h. When compared with the daily electrical energy needs in the household sector (9364 watt.h) the electrical energy generated through modeling is able to meet 3.1% of electricity needs in a day.
Daftar Isi Volume 9 Nomor 1 Tahun 2023
Authors: Polindra JTT
Published: May 2023

Daftar Isi Volume 9 Nomor 1 Tahun 2023
Cover Volume 9 Nomor 1 Tahun 2023
Authors: Polindra JTT
Published: May 2023

Cover Volume 9 Nomor 1 Tahun 2023
Calcium foliar fertilization and its effect on quality and shelf life in andean blackberry fruits (Rubus glaucus Benth.)
Authors:   Corporación Colombiana de Investigación Agropecuaria – AGROSAVIA, Andrés Cardona William , García-Muñoz María Cristina ,   Corporación Colombiana de Investigación Agropecuaria – AGROSAVIA, Botina-Azain Blanca Lucía ,   Corporación Colombiana de Investigación Agropecuaria – AGROSAVIA, Franco-Flórez Clara Viviana ,   Corporación Colombiana de Investigación Agropecuaria – AGROSAVIA, Jiménez-Ortega Pablo Edgar ,   Corporación Colombiana de Investigación Agropecuaria – AGROSAVIA
Published: May 2023

Calcium is the third most crucial nutrient for andean blackberry; however, its absorption is limited in acid soils, and its low mobility in the plant decreases its effects on fruits. Therefore, the effect of foliar fertilizers with calcium on andean blackberry fruits was estimated. In three locations, experiments were established with five calcium sources (Ca chelate, CaB nitrate, Ca oxide, CaB and CaBZn gluconate) and a control without calcium, applied in three phenological stages and recording: weight, diameters, firmness, color, juice, pulp, pH, soluble solids, acidity, dehydration, and damage. Soil and tissue analysis was performed to identify the relationship between the plant’s nutritional conditions and its fertilization response. For the statistical analysis were used mixed models, tests of means, and principal components. Foliar fertilization with chelate, nitrate, and calcium oxide in andean blackberry crops with thorns, in production, with pruning management, and in the phenological stages of flower bud, fruit set, and red fruit, is a viable alternative to improve firmness, weight, and diameter of the fruits. In contrast, the chemical and color parameters in andean blackberry fruits depend on the edaphoclimatic conditions of each zone. This fertilization should be considered as a complement in soils without acidity problems and with balanced cationic saturations.
Criminological Study on Human Trafficking during the Pandemic in Romania
Authors: Preda Aura
Published: May 2023

In the pandemic context, it is relevant to discuss the challenges imposed by the Covid 19 Pandemic and the main effects and obstacles felt at the level of antitrafficking institutions and organizations in Romania, during the period between 2020-2021. The author tries to make a comparative quantitative analysis of the two years (2020-2021), within the limits of the data obtained from ANITP, the national agency specialized in monitoring and preventing this phenomenon.
The role of the Prime Minister in leading and coordinating Ministries and Central Public Administration
Authors: Barbu S.G. , Stefan E.E.
Published: May 2023

The Government is a central public authority with a fundamental role in the functioning of the rule of law. Together with the President, the Government represents the executive power of the state. Even if the formation of the Government is in the first instance the result of political agreements, it moves away from the political component and focuses on the administrative component, after the investiture, to implement the political government program. This study analyzes the way in which, according to the constitutional and legal provisions, the Government, by means of the Prime Minister leads and coordinates the activity of the ministries and of the central public administration in achieving the double role, namely political and administrative, in order to observe if the current legislative framework needs to be improved.
The Name – Identification Element of a Natural Person
Authors: Florescu Elena-Melania
Published: May 2023

Identifying people by name is as old as the emergence of social life. So, since ancient times, there has been a need for any person to have a name, a need determined by a certain social requirement, namely, the need to identify people within society. At national level, since the 19th century, there have been normative acts in Romanian legislation that expressly stipulated that any person must have a double name, composed of a first name and a surname, and, at the same time, imposes that in the civil state documents, persons be presented by first and last name – according to the Organic Regulation and the Civil Code from 1864 during the reign of Alexandru Ioan Cuza. Also, at international level, there have been, over time, legislative provisions that established the importance of the name, as an element of identification of persons. In conclusion, the name individualizes the person both in society and in the family, bringing together the social, family and individual interests of the person.
On the Impact of Legislative Risk in Banking Activity
Authors: Pantoiu Adriana I.
Published: May 2023

The operational risk, at the banking level, is the one that includes the risks that can be generated, for a credit institution, by changing the relevant regulations. Legislative changes in recent years have had a significant impact on banking activity. Thus, a legislative risk is highlighted, resulting from less proper regulations, the effects of which can be seen on the banking system. From the analysis of such regulations, we observe, on the one hand, the aspiration of the Romanian legislator to align the Romanian legal system to the Union law. On the other hand, we see the need for better collaboration between the legislator and the representatives of the banking system, so that the principle of legal security is not affected.
Mutual Recognition of Family Relations in the EU. European Court of Justice Case-Law regarding the Children of Rainbow Families
Authors: Spirchez Georgeta B.
Published: May 2023

The following study took shape in the context of concerns that exist at the level of the European Union regarding the recognition of filiation in cross-border situations, mainly aimed at the children of same-sex couples. Thus, at the center of the analysis are those established by the Court of Justice of the European Union in case C-490/20, aspects reiterated on the ruling of the Court Order in case C-2/21. The main conclusion refers to ensuring compliance with the best interests of the child by effectively recognizing the freedom of movement and the rights attached to the quality of European citizen, for families with LGBTQ parents.
The Development of Criminality at the European Union Level Nowadays
Authors: Tolbaru Carmina
Published: May 2023

With regard to crime, unceasing efforts are being made at the European Union level, in the context in which the war in Ukraine has given the offenders new levers to use. Equally at present, as always in the past, the conflict situations generate criminality, and its development becomes significant when the stake is high. Both the crisis caused by the Covid-19 pandemic and the Russian military aggression against Ukraine created networks for offenders as well as a suitable ground to relate to. Human trafficking, cyberattacks, online fraud, embezzlement of funds intended for refugees, and gun trafficking are threats for which the European Union established its priorities in the fight against organized crime.
The Warranty-Return System for Packaging – A New Challenge in Achieving Environmental Protection in Romania
Authors: Salca Rotaru Cristina Mihaela
Published: May 2023

The management of packaging and packaging waste, a component of the environmental protection strategy, determined the development of rules at the European Union level since 1975. The diversification of packaging types and the increase in the amount of waste required finding new ways to improve waste management. For this, however, it is necessary to ensure an effective selective collection of packaging waste, and not only that. This article presents the new challenges of the guarantee-return system in Romania from the perspective of the obligations imposed on economic operators in the collection, transport and recycling of packaging subject to this system.
SISTEM INFORMASI AKADEMIK BERBASIS LARAVEL UNTUK REGISTRASI ULANG DAN PENGAJUAN CUTI MAHASISWA
Authors: Ardi Abdullah , Andriani
Published: May 2023

Hasnur Polytechnic is a private educational institution located in Barito Kuala Regency. Currently Hasnur Polytechnic already has an information system that is intended to improve operational service activities such as HR Systems, Academic Systems, Payroll Systems, Internship Systems, Web Profile Systems. However, in this case, it is necessary to improve the quality of academic services in terms of re-registration and application for student leave, which was implemented before the existence of the system required a lot of time because management was carried out in an unsystematic manner. In designing this system, the Waterfall method is applied, starting from the communication stage to the construction stage. As for the process of communication stages of collecting the required data, it is requested directly from the relevant parties, namely the Academic Administration Section of the Hasnur Polytechnic. In the system design stage described using DFD. At the construction stage the system is carried out using the Laravel framework, and applying programming languages (PHP, HTML, JavaScript, and MySql Queries). In the final stage in the system aspect using Blackbox Testing, with 100% successful test results according to the design of functional requirements and running according to its function.
PROFIL HIGHER ORDER THINKING SKILLS MATEMATIS PESERTA DIDIK KELAS VIII SMP
Authors: Badjeber Rafiq
Published: May 2023

This study aims to describe the mathematical higher-order thinking skills of eighth-grade students in junior high school. This research is descriptive research with a qualitative approach. The research subjects were 2 students of class VIII SMP Negeri 1 Palu. Data collection techniques include tests and interviews. The results obtained indicate that at the level of analytical thinking, students only apply problem-solving procedures without analyzing (C4) the principles that are relevant to the given problem. At the level of evaluating thinking (C5), students can provide valid arguments in verifying the given problem. While at the creative thinking level (C6), students cannot find work ideas to solving the problems presented
METODE AL-TASYWIQ DAN AL-TADZKIR DALAM MENINGKATKAN MOTIVASI BELAJAR PESERTA DIDIK (ANALISIS TERHADAP SYAIR-SYAIR MOTIVASI SAYYID IDRUS BIN SALIM AL JUFRI)
Authors: Lestari Dwi Pratiwi
Published: May 2023

Tujuan dari penelitian ini adalah untuk mendeskripsikan penerapan metode At-Tasywiq dan At-Tadzkir  dengan pemberian motivasi dan peringatan dalam meningkatkan motivasi belajar peserta didik yang dianalisis berdasarkan syair-syair motivasi Sayyid Idrus bin Salim Aljufri. Penelitian ini menggunakan jenis riset kepustakaan (library research)  atau studi pustaka  yaitu penelitian dengan pengumpulan dan pengolahan data pustaka dari berbagai literatur. Sumber data yang digunakan yaitu sumber data primer dan sekunder dari buku-buku, jurnal dan tulisan-tulisan utama dan pendukung lainnya. Teknik pengumpulan data bersumber dari data primer dan data sekunder. Analisis data menggunakan analisis konten (content analysis. Hasil penelitian menunjukan bahwa metode Al-Tasywiq dan Al-Tadzkir dengan pemberian motivasi dan peringatan melalui syair-syair motivasi yang mengandung nilai-nilai universal Sayyid Idrus bin Salim Aljufri berperan meningkatkan motivasi belajar peserta didik.   Metode Al-Tasywiq dan Al-Tadzkir berdasarkan perspektif psikologis diterapkan melalui pembelajaran behavioral, humanistik, kognitif dan sosial.

 Kata kunci: Metode Al-Tasywiq dan Al-Tadzkir, Motivasi belajar, Syair-syair Motivasi Sayyid Idrus bin Salim AlJufri.
TRANSFORMASI PENDIDIKAN DALAM PENGEMBANGAN SUMBER DAYA MANUSIA YANG BERKARAKTER DI ERA DISRUPSI
Authors: Lamuri Ahmadan B , Laki Ridwan
Published: May 2023

Manusia merupakan makhluk yang telah difasilitasi Sumber Daya yang dengannya mampu melakukan sesuatu melebihi makhluk lainnya. Di sisi lain kemajuan sains dan teknologi diakui sebagai implikasi hasil pengembangan pendidikan juga, telah menjadi tantangan dalam penyelenggaraan pendidikan itu sendiri yang menghasilkan sumber daya manusia yang berkompoten. Bagaimana mentransformasikan pendidikan yang mampu melahirkan sumber daya yang berkarakter di era disrupsi. Penelitian ini termasuk penelitian pustaka dengan pendekatan ilmu pendidikan dan analisis deskriptif. Hasil penelitian menunjukkan bahwa (a) Manusia memiliki potensi bawaan sebagai sumber dayanya yakni potensi spiritual, intelektual, sosial, emosional, dan jasmaniyah; (b) Potensi dimaksud jika dikembangkan dan diaktualisasikan akan melahirkan kinerja terbaiknya; (c) Pendidikan berkelanjutan dan pembangunan karakter sebagai sarana penting keberhasilan menghadapi era disrupsi
Memory Outcome in Prodromal and Mild Dementia with Lewy Bodies and Alzheimer’s Disease: A Longitudinal Study
Authors: Querry Manon , Blanc Frédéric , Bousiges Olivier , Philippi Nathalie , Cretin Benjamin , Demuynck Catherine , Muller Candice , Botzung Anne
Published: May 2023

Background:

Dementia with Lewy bodies (DLB) and Alzheimer’s disease (AD) are likely to induce memory impairments from the prodromal stage but, to our knowledge, no longitudinal study of these patients’ memory profile has been conducted to date.

Objective:

The aim of our study was to describe the characteristics and the evolution of the long-term memory profile of patients with prodromal and mild DLB and AD.

Methods:

We collected verbal (RL/RI-16) and visual (DMS48) memory scores from 91 DLB patients, 28 AD patients, 15 patients with both conditions (DLB/AD), and 18 healthy control subjects at their inclusion visit and at 12, 24, and 48 months.

Results:

On the RL/RI-16, DLB patients performed better than AD patients in terms of total recall ( p < 0.001), delayed total recall ( p < 0.001), recognition ( p = 0.031), and loss of information over time ( p = 0.023). On the DMS48, differences between these two groups were not significant ( p > 0.05). Longitudinally, the memory performance of DLB patients was stable over 48 months, unlike that of AD patients.

Conclusion:

Four indicators were relevant to distinguish between DLB and AD patients in terms of memory performance: DLB patients benefitted greatly from semantic cueing, their recognition and consolidation abilities were well-preserved, and both their verbal and visual memory performance remained remarkably stable over four years. However, no performance differences between DLB and AD patients were found regarding visual memory, either qualitatively (memory profile) or quantitatively (severity of impairment), indicating the lesser relevance of this test in distinguishing between these two diseases.
The Protective Effects of High-Intensity Interval Training Combined with Q10 Supplementation on Learning and Memory Impairments in Male Rats with Amyloid-β-Induced Alzheimer’s Disease
Authors: Puoyan-Majd Samira , Parnow Abdolhossein , Rashno Masome , Heidarimoghadam Rashid , Komaki Alireza
Published: May 2023

Background: Oxidative stress plays a major role in the progression of Alzheimer’s disease (AD)-related cognitive deficits. Objective: This study was done to determine the protective effects of coenzyme Q10 (CoQ10) and high-intensity interval training (HIIT) alone and in combination for eight continuous weeks, on oxidative status, cognitive functions, and histological changes in the hippocampus in amyloid-β (Aβ)-induced AD rats. Methods: Ninety male Wistar rats were randomly assigned to the sham, control, Q10 (50 mg/kg of CoQ10; P.O.), HIIT (high intensity: 4 min running at 85–90% VO2max, low intensity: 3 min running at 50–60% VO2max), Q10 + HIIT, AD, AD+Q10, AD+HIIT, and AD+Q10 + HIIT groups. Results: The results showed that Aβ injection reduced cognitive functions in the Morris water maze (MWM) test and recognition memory in the novel object recognition test (NORT), which was accompanied by a decrease in total thiol groups, catalase, and glutathione peroxidase activities, an increase in malondialdehyde levels, and neuronal loss in the hippocampus. Interestingly, pretreatment with CoQ10, HIIT, or both, could markedly improve the oxidative status and cognitive decline in the MWM and NOR tests, and hinder neuronal loss in the hippocampus of Aβ-induced AD rats. Conclusion: Therefore, a combination of CoQ10 and HIIT can improve Aβ-related cognitive deficits, probably through an amelioration in hippocampal oxidative status and prevention of neuronal loss.
An intellectual optimization of k-anonymity model for efficient privacy preservation in cloud platform
Authors: Sakthivel S. , Vinotha N.
Published: May 2023

Concerns of security as well as privacy are the chief obstacles which have prevented the public cloud’s extensive adoption in Intel IT as well as across the industry. Generally, IT organizations are quite reluctant to store sensitive as well as valuable data in infrastructures which are out of their control. The technique of anonymization is employed by enterprises to raise the security of the public cloud’s data whilst facilitating the data’s analysis as well as application. The procedure of data anonymization will modify how the data is either employed or published in such a way that it will prevent the key information’s identification. The privacy issues are addressed using k-anonymity. However, the issue of selecting the variables for anonymization and suppression of variables without the loss of knowledge is an optimization problem. To address the selection of variables for anonymization and suppression, metaheuristic algorithms are used. Diverse research groups have successfully utilized the River Formation Dynamics (RFD) metaheuristic to handle numerous problems of discrete combinatorial optimization. Even so, this metaheuristic has never been adapted for use in domains of continuous optimization. To mitigate the local minima problem, hybridization of the algorithms is proposed. In this work, a modified K-Anonymity technique’s proposal has been given by using the Modified Hill Climbing (MHC) optimization, the RFD-MHC optimization, the RFD-PSO optimization, the RFD-MHC suppression as well as the RFD-PSO suppression. Furthermore, proposal for a suppression technique has also been given in this work. Experiments demonstrated that the RFD-PSO optimization has higher classification accuracy in the range of 6.73% to 8.55% when compared to manual K-anonymization. The work has also given better trade off for security analysis and data utility effectiveness.
An Enhanced Standardization and Qualification Mechanism for Heterogeneous Healthcare Data
Authors: Manias George , Azqueta-Alzúaz Ainhoa , Damiani Andrea , Dhar Eshita , Kouremenou Eleftheria , Patino-Martínez Marta , Savino Mariachiara , Shabbir Syed Abdul , Kyriazis Dimosthenis
Published: May 2023

Given the challenge that healthcare related data are being obtained from various sources and in divergent formats there is an emerging need for providing improved and automated techniques and technologies that perform qualification and standardization of these data. The approach presented in this paper introduces a novel mechanism for the cleaning, qualification, and standardization of the collected primary and secondary data types. The latter is realized through the design and implementation of three (3) integrated subcomponents, the Data Cleaner, the Data Qualifier, and the Data Harmonizer that are further evaluated by performing data cleaning, qualification, and harmonization on top of data related to Pancreatic Cancer to further develop enhanced personalized risk assessment and recommendations to individuals.
Development of OSOMO Prompt Mobile Application on Elderly Population for Village Health Volunteers Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model
Authors: Turnbull Niruwan , Tudpor Kukiat , Chimphoklang Siwaporn , Siladlao Sureewan , Kamonroek Nutchanun , Tatiyaworawattanakul Kannikar Hannah
Published: May 2023

This paper aims to describe the use ADDIE model in developing a digital health tool, OSOMO Prompt app, and discuss evaluation outcomes of using this digital tool by village health volunteers (VHV) in rural areas in Thailand. The OSOMO prompt app was developed and implemented in elderly populations in eight rural areas. The Technology Acceptance Model (TAM) was used to test the acceptance of the app four month after the implementation. There were 601 VHVs voluntarily involved in the evaluation phase. The ADDIE model was successfully employed to guide the research team to develop the OSOMO Prompt app consisting of four services delivered to elderly populations by VHVs, including: 1) health assessment; 2) home visit; 3) knowledge management; and 4) emergency report. The findings from the evaluation phase reported that the OSOMO Prompt app was accepted as utility and simplicity (score 3.95+.62); and valuable digital tool (score 3.97+.68). The app received the highest score for being a useful tool assisting VHVs in achieving their work goals and improving work performance (score 4.0+.66). The OSOMO Prompt app could be modified for other healthcare services in different populations. Further investigation in long-term use and its impact on healthcare system is warranted.
Adolescents Identifying Errors and Omissions in Their Electronic Health Records: A National Survey
Authors: Hagström Josefin , Blease Charlotte , Kharko Anna , Scandurra Isabella , Hägglund Maria
Published: May 2023

Patient accessible electronic health records (PAEHRs) have been proposed as a means to improve patient safety and documentation quality, as patients become an additional source to detect mistakes in the records. In pediatric care, healthcare professionals (HCP) have noted a benefit of parent proxy users correcting errors in their child’s records. However, the potential of adolescents has so far been overlooked, despite reports of reading records to ensure accuracy. The present study examines errors and omissions identified by adolescents, and whether patients reported following up with HCPs. Survey data was collected during three weeks in January and February 2022 via the Swedish national PAEHR. Of 218 adolescent respondents, 60 reported having found an error (27.5%) and 44 (20.2%) had found missing information. Most adolescents did not take any action upon identifying an error or an omission (64.0%). Omissions were more often perceived as serious than errors. These findings call for development of policy and PAEHR design that facilitates reports of errors and omissions for adolescents, which could both improve trust and support the individual’s transition into an involved and engaged adult patient.
Leveraging Clinical Data Warehouses to Measure Impact of Update Prescription Guidelines of Polyvalent Immunoglobulins in 2018 in France
Authors: Pierre-Jean Morgane , Bouzille Guillaume , Bories Mathilde , Le Corre Pascal , Cuggia Marc
Published: May 2023

In France and in other countries, we observed a significant growth in human polyvalent immunoglobulins (PvIg) usage. PvIg is manufactured from plasma collected from numeral donors, and its production is complex. Supply tensions have been observed for several years, and it is necessary to limit their consumption. Therefore, French Health Authority (FHA) provided guidelines in June 2018 to restrict their usage. This research aims to assess the guidelines’ impact of the FHA on the use of PvIg. We analyzed data from Rennes University Hospital, where all PvIg prescriptions are reported electronically with quantity, rhythm, and indication. From the clinical data warehouses of RUH, we extracted comorbidities and lab results to evaluate the more complex guidelines. We globally noticed a reduction in the consumption of PvIg after the guidelines. Compliance with the recommended quantities and rhythms have also been observed. By combining two sources of data, we have been able to show an impact of FHA’s guidelines on the consumption of PvIg.
Medical Apps for Android and iOS: Differences and Similarities
Authors: Pustozerov Evgenii , Von Jan Ute , Lawin Dennis , Albrecht Urs-Vito
Published: May 2023

Google Play and Apple’s App Store dominate the mobile health app market. We analyzed the metadata and descriptive texts of apps in the medical category using semi-automated retrospective app store analysis (SARASA) and compared the store offerings in terms of their number, descriptive texts, user ratings, medical device status, diseases, and conditions (both keyword-based). Relatively speaking, the store listings for the selected items were comparable.
Informing Family About Patient Trajectory During Surgery: Design and Preliminary Evaluation
Authors: Ehrler Frederic , Jeleff Alexandre
Published: May 2023

The patient empowerment movement has highlighted the importance of providing information to the patients to improve care outcome. However, relatives of patients are not yet taken into consideration. This is especially problematic during surgeries since families are often left without real-time information about the trajectory of the patient, inducing worries. Based on this observation we have developed the SMS-Chir solution that connects our surgery service management system with the automatic sending of SMS at key moments in order to inform families about the progression of the surgery. The system has been conceived thanks to the results of a focus group involving four experts. The evaluation was done by monitoring the use of the system over time and by sending questionnaires after intervention. Results analysis shows a limited use of the system but a high satisfaction of the beneficiaries. This study highlights the importance of managerial factors (resistance to change) in order to onboard the necessary stakeholders in the process.
Streamlining Tangible 3D Printed and Intangible XR Content Creation and Evaluation: The ENTICE Experience
Authors: Antoniou Panagiotis , Sidiropoulos Efstathios , Stathakarou Natalia , Chatzimallis Charalampos , Chondrokostas Evangelos , Sumunar Dimas , Karlsson Tobias , Lachanoudi Sofia , David Panagiotis , Tagaras Konstantinos , Varella Annita , Athanasiou Alkinoos , Pickering James , Tooulias Andreas , Karolos Ion , Filippidis Panagiotis-Marios , Schiza Eirini , Voulgarakis Vassilis , Bratsas Charalambos , Tsioukas Vassilis , Tsoulfas George , Bamidis Panagiotis
Published: May 2023

ENTICE aimed to use co-creative methodologies in order to build a solid creation pipeline for medical experiential content. The project has developed and evaluated immersive learning resources and tools aiming to support well-defined learning objectives using tangible and intangible resources (AR/VR/MR, 3D printing) that are highly sought in the fields of anatomy and surgery. In this paper the preliminary results from the evaluation of the learning resources and tools in 3 countries as well as the lessons learnt are presented towards to the improvement of the medical education process.
Publication Dynamics on Social Media During the Orpea Nursing Homes Scandal: A Twitter Analysis
Authors: Fruchart Mathilde , Verdier Laetitia , Beuscart Jean-Baptiste , Lamer Antoine
Published: May 2023

The release of a book denouncing mistreatment in French nursing home triggered a scandal which was conveyed on social networks. The objectives of this study were to study the temporal trends and dynamics of publication on Twitter during the scandal as well as to identify the main topics of discussion.The first one is spontaneous and completely aligned with the actuality and fed by media and family of residents, while the second one is out of step with current events and fed by the company involved in the scandal.
Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning
Authors: Sakagianni Aikaterini , Koufopoulou Christina , Verykios Vassilios , Loupelis Evangelos , Kalles Dimitrios , Feretzakis Georgios
Published: May 2023

Since its emergence, the COVID-19 pandemic still poses a major global health threat. In this setting, a number of useful machine learning applications have been explored to assist clinical decision-making, predict the severity of disease and admission to the intensive care unit, and also to estimate future demand for hospital beds, equipment, and staff. The present study examined demographic data, hematological and biochemical markers routinely measured in Covid-19 patients admitted to the intensive care unit (ICU) of a public tertiary hospital, in relation to the ICU outcome, during the second and third Covid-19 waves, from October 2020 until February 2022. In this dataset, we applied eight well-known classifiers of the caret package for machine learning of the R programming language, to evaluate their performance in forecasting ICU mortality. The best performance regarding area under the receiver operating characteristic curve (AUC-ROC) was observed with Random Forest (0.82), while k-nearest neighbors (k-NN) were the lowest performing machine learning algorithm (AUC-ROC: 0.59). However, in terms of sensitivity, XGB outperformed the other classifiers (max Sens: 0.7). The six most important predictors of mortality in the Random Forest model were serum urea, age, hemoglobin, C-reactive protein, platelets, and lymphocyte count.
Usability Assessment as a Participatory Method for Implementing Technical Innovations in Nursing Care
Authors: Krückeberg Jörn , Ottmann Isabel , Beume Daniel Peter , Klawunn Ronny , Hechtel Nicole
Published: May 2023

For the introduction of technical nursing care innovations, a usability assessment survey is conducted by nursing staff. The questionnaire is used before and after the introduction of technical products. This poster contribution shows the latest comparison of pre- and post-surveys on selected products.
Building a Disease Knowledge Graph
Authors: Rajabi Enayat , Kafaie Somayeh
Published: May 2023

Knowledge graphs have proven themselves as a robust tool in clinical applications to aid patient care and help identify treatments for new diseases. They have impacted many information retrieval systems in healthcare. In this study, we construct a disease knowledge graph using Neo4j (a knowledge graph tool) for a disease database to answer complex questions that are time-consuming and labour-intensive to be answered in the previous system. We demonstrate that new information can be inferred in a knowledge graph based on existing semantic relationships between the medical concepts and the ability to perform reasoning in the knowledge graph.
Performance Benchmarking of FHIR Terminology Operations in ETL Jobs
Authors: Wiedekopf Joshua , Drenkhahn Cora , Ingenerf Josef
Published: May 2023

Interoperability in healthcare cannot be achieved without mapping local data to standardized terminology. In this paper, we investigate the performance of different approaches for implementing HL7 FHIR Terminology Module operations using a benchmarking methodology, to gather evidence on the benefits and pitfalls of these methods in terms of performance from the point-of-view of a terminology client. The approaches perform very differently, while having a local client-side cache for all operations is of supreme importance. The results of our investigation show that careful consideration of the integration environment, potential bottlenecks, and implementation strategies is required.
Health-Related Content in Transformer-Based Language Models: Exploring Bias in Domain General vs. Domain Specific Training Sets
Authors: Samo Giuseppe , Bonan Caterina
Published: May 2023

In this communication, we demonstrate that the bias observed in domain general training sets with health-related content is not improved in domain specific health-communication corpora, contra.
Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models
Authors: Roitero Kevin , Martinuzzi Andrea , Armellin Maria Teresa , Paparella Gabriella , Maniero Alberto , Della Mea Vincenzo
Published: May 2023

The coding of medical documents and in particular of rehabilitation notes using the International Classification of Functioning, Disability and Health (ICF) is a difficult task showing low agreement among experts. Such difficulty is mainly caused by the specific terminology that needs to be used for the task. In this paper, we address the task developing a model based on a large language model, BERT. By leveraging continual training of such a model using ICF textual descriptions, we are able to effectively encode rehabilitation notes expressed in Italian, an under-resourced language.
Using Big Data to Uncover Association Between Sildenafil Use and Reduced Risk of Alzheimer’s Disease
Authors: Huo Xingyue , Finkelstein Joseph
Published: May 2023

Alzheimer’s disease is a chronic neurodegenerative disease with multiple pathogenesis pathways. Sildenafil, one of the phosphodiesterase-5 inhibitors, was proven to have effective benefits in transgenic Alzheimer’s disease mice. The purpose of the study was to investigate the relationship between sildenafil use and the risk of Alzheimer’s disease based on the IBM® MarketScan® Database covering over 30 million employees and family members per year. Sildenafil and non-sildenafil-matched cohorts were generated using propensity-score matching with the greedy nearest-neighbor algorithm. The propensity score stratified univariate analysis and the Cox regression model showed that sildenafil use was significantly associated with a 60% risk reduction of developing Alzheimer’s disease (HR=0.40; 95%CI:0.38-0.44; P<.0001) compared to the cohort of individuals who did not take sildenafil. Sex-stratified analyses revealed that sildenafil was related to a lower risk of Alzheimer’s disease in subgroups of both males and females. Our findings demonstrated a significant association between sildenafil use and a lower risk of Alzheimer’s disease.
Modelling Information Needs and Sources in a COVID-19 Designated Hospital
Authors: Borycki Elizabeth M. , Kushniruk Andre W. , Oluka Henry , Minshall Simon , Cato Kenrick , Senathirajah Yalini , Kaufman David
Published: May 2023

COVID-19 remains an important focus of study in the field of public health informatics. COVID-19 designated hospitals have played an important role in the management of patients affected by the disease. In this paper we describe our modelling of the needs and sources of information for infectious disease practitioners and hospital administrators used to manage a COVID-19 outbreak. Infectious disease practitioner and hospital administrator stakeholders were interviewed to learn about their information needs and where they obtained their information. Stakeholder interview data were transcribed and coded to extract use case information. The findings indicate that participants used many and varied sources of information in the management of COVID-19. The use of multiple, differing sources of data led to considerable effort. In modelling participants’ activities, we identified potential subsystems that could be used as a basis for developing an information system specific to the public health needs of hospitals providing care to COVID-19 patients.
An Adaptive Digital Intelligence System to Support Infodemic Management: The WHO EARS Platform
Authors: White Becky , Cabalero Ivan , Nguyen Tim , Briand Sylvie , Pastorino Agnese , Purnat Tina D.
Published: May 2023

The WHO Early AI-Supported Response with Social Listening (EARS) platform was developed to help inform infodemic response during the COVID-19 pandemic. There was continual monitoring and evaluation of the platform and feedback from end-users was sought on a continual basis. Iterations were made to the platform in response to user needs, including the introduction of new languages and countries, and additional features to better enable more fine-grained and rapid analysis and reporting. The platform demonstrates how a scalable, adaptable system can be iterated upon to continue to support those working in emergency preparedness and response.
Opportunistic Screening for Osteoporosis Using CT Scans of the Knee: A Pilot Study
Authors: Elmahdy Mahmoud , Sebro Ronnie
Published: May 2023

Knee CT scans are used for planning for total knee arthroplasties in patients who are often simultaneously at risk for frailty fractures due to low bone mineral density. We retrospectively identified 200 patients (85.5% female) with concurrent CT scans of the knee and Dual energy x-ray absorptiometry (DXA). The mean CT attenuation of the distal femur, proximal tibia and fibula, and patella, were calculated using volumetric 3-dimensional segmentation using 3D Slicer. Data were split randomly into training 80% and test 20% datasets. The optimal CT attenuation threshold for the proximal fibula was obtained in the training dataset and evaluated in the test dataset. A support vector machine (SVM) with radial basis function (RBF) using C-classification was trained and tuned using 5-fold cross-validation in the training dataset and then evaluated in the test dataset. The SVM had a higher area-under-the curve (AUC) of 0.937 and better performance to detect osteoporosis/osteopenia than the CT attenuation of the fibula (AUC of 0.717) (P=0.015). Opportunistic screening for osteoporosis/osteopenia could be accomplished using CT scans of the knee.
Random Forest and Gradient Boosted Trees for Patient Individualized Contrast Agent Dose Reduction in CT Angiography
Authors: Pallenberg René , Fleitmann Marja , Stroth Andreas Martin , Gerlach Jan , Fürschke Alexander , Barkhausen Jörg , Bischof Arpad , Handels Heinz
Published: May 2023

This work aims to recognize the patient individual possibility of contrast dose reduction in CT angiography. This system should help to identify whether the dose of contrast agent in CT angiography can be reduced to avoid side effects. In a clinical study, 263 CT angiographies were performed and, in addition, 21 clinical parameters were recorded for each patient before contrast agent administration. The resulting images were labeled according to their contrast quality. It is assumed that the contrast dose could be reduced for CT angiography images with excessive contrast. These data was used to develop a model for predicting excessive contrast based on the clinical parameters using logistic regression, random forest, and gradient boosted trees. In addition, the minimization of clinical parameters required was investigated to reduce the overall effort. Therefore, models were tested with all subsets of clinical parameters and each parameter’s importance was examined. In predicting excessive contrast in CT angiography images covering the aortic region, a maximum accuracy of 0.84 was achieved by a random forest with 11 clinical parameters; for the leg-pelvis region data, an accuracy of 0.87 was achieved by a random forest with 7 parameters; and for the entire data set, an accuracy of 0.74 was achieved by gradient boosted trees with 9 parameters.
AI-Based Gut-Brain Axis Digital Twins
Authors: Meystre Stéphane , van Stiphout Ruud , Goris Annelies , Gaitan Santiago
Published: May 2023

More than 40% of the adult population suffers from functional gastrointestinal disorders, now considered disorders of the “gut-brain axis” (GBA) interactions, a very complex bidirectional neural, endocrine, immune, and humoral communication system modulated by the microbiota. To help discover, understand, and manage GBA disorders, the OnePlanet research center is developing digital twins focused on the GBA, combining novel sensors with artificial intelligence algorithms, providing descriptive, diagnostic, predictive or prescriptive feed-back.
Towards a Digital Twin in Human Brain: Brain Tumor Detection Using K-Means
Authors: Sarris Anastasios Loukas , Sidiropoulos Efstathios , Paraskevopoulos Evangelos , Bamidis Panagiotis
Published: May 2023

Digital Twins come to revolutionize the ongoing procedures of healthcare industry, with their ability to stimulate and predict patients’ diagnosis and treatment. In this paper a K-means based brain tumor detection algorithm and its 3D modelling design, both derived from MRI scans, are presented towards to the creation of the digital twin.