The rise of mobile development: a comparison between Ionic and Flutter

Novac, Ovidiu Constantin; Novac, Cornelia Mihaela; Ciora, Bogdan; Gordan, Cornelia Emilia; Gordan, Mircea; Bujdosó, Gyöngyi

doi:10.1109/ecai54874.2022.9847460

Cited by 2 publications

(1 citation statement)

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“…Choosing the right development environment and tools is a vital step in implementing an app [18,19]. For this project, the Ionic Framework (V6.20.3) has been chosen, an open-source framework that facilitates the development of hybrid mobile apps.…”

Section: Smartphone App Developmentmentioning

confidence: 99%

System for classifying antibody concentration against severe acute respiratory syndrome coronavirus 2 S1 spike antigen with automatic quick response generation for integration with health passports

Apostolakis,

Barmpakos,

Mavrikou

et al. 2024

Explor Digit Health Technol

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Aim: After the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and the realization of mass vaccination against the virus, the availability of a reliable, rapid, and easy-to-use system for registering the individual anti-S1 antibody titer could facilitate the personalized assessment of the need for booster vaccine doses and the reduction of social distancing and other measures. Methods: The biosensor system is based on immobilized engineered SK-N-SH neuroblastoma cells, bearing the S1 protein, and it can detect immunoglobulin G (IgG) antibodies against the SARS-CoV-2 S1 spike antigen. A disposable electrode strip bearing the engineered mammalian cells is connected to a customized read-out potentiometric device with real-time data transmission to a wireless fidelity (WiFi)-connected smartphone. Blood samples from past-infected individuals and individuals vaccinated against SARS-CoV-2 were used for validation. Results: In the present study, a smartphone application (app), capable of analyzing data regarding the levels of anti-S1 antibodies in blood is introduced. The app works in conjunction with a portable, ultra-rapid, and sensitive biosensor transmitting real-time measurements to the smartphone. Both historical and current individual data can be encoded by using the app, resulting in a widely accepted quick response (QR) code, which can then be constantly updated to match a person’s status. Conclusions: This novel system could be utilized for the eventual development of a coronavirus disease 2019 (COVID-19) electronic passport, which could be further employed to improve the population-wide, cross-country surveillance of vaccination efficiency, as well as facilitate the implementation of cross-border digital health services in a user-friendly and secure way.

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Section: Smartphone App Developmentmentioning

confidence: 99%

System for classifying antibody concentration against severe acute respiratory syndrome coronavirus 2 S1 spike antigen with automatic quick response generation for integration with health passports

Apostolakis,

Barmpakos,

Mavrikou

et al. 2024

Explor Digit Health Technol

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Аналіз та використання способів керування станом застосунку у Flutter

Коба,

Афанасьєва,

Онищенко

et al. 2023

zhnups

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Стаття присвячена дослідженню способів керування станом застосунків у Flutter та їх впливу на роботу застосунків. Автори розглядають такі способи як StatefulWidget, InheritedWidget, Bloc та Cubit, проводять аналіз їх переваг та недоліків і наводять приклади використання кожного з них у реальних застосунках з використанням мови програмування Dart. Стаття приділяє особливу увагу практичному використанню цих способів та визначенню того, який підхід найбільш підходить для конкретного застосунку. Загальні знання з мобільної розробки та розробки програмного забезпечення допоможуть читачеві краще зрозуміти матеріал та отримати цінні відомості про ефективне управління станом застосунків у Flutter.

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The rise of mobile development: a comparison between Ionic and Flutter

Cited by 2 publications

References 0 publications

System for classifying antibody concentration against severe acute respiratory syndrome coronavirus 2 S1 spike antigen with automatic quick response generation for integration with health passports

System for classifying antibody concentration against severe acute respiratory syndrome coronavirus 2 S1 spike antigen with automatic quick response generation for integration with health passports

Аналіз та використання способів керування станом застосунку у Flutter

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