iOS System Research Articles

The influence of blue light sources on somnological disorders among patients with mild to moderate acne

Background. The acne is a chronic inflammatory skin disease that affects all age groups of the population and has a serious impact on the quality of life of patients. Various endogenous and exogenous factors are involved in the pathogenesis of dermatosis. The increasing of usage of digital media and the Internet has an impact on people's sleep habits and, with changes in sleep quality, symptoms of depression, anxiety and stress may increase, which leads to a more severe course of chronic dermatoses, including acne. Aim. To evaluate the relationship between somnological disorders (SLD) and the frequency of smartphone use before bedtime in patients with mild to moderate acne (MMA). Materials and methods. A single-center observational prospective study was conducted from 2023 to 2024: 130 patients aged 18 to 30 years (average age 23.32±2.75 years) diagnosed with MMA were observed. The data on the severity of acne were assessed using the Global Acne Grading System (GAGS), the degree of sleep disturbance was determined using the Pittsburgh Sleep Quality Index (PSQI), and the quality of life of patients was determined according to the Dermatology Life Quality Index (DLQI). Taking into account indicators on the use of a smartphone with the iOS or Android operating system included calculating average screen time, assessing addiction and the fact of using a smartphone 1 hour before bedtime. The statistical processing was carried out using the Jamovi version 2.3.21 program. Results. The SLD were identified in 85 (65.38%) patients with MMA. The dermatosis had a strong impact on quality of life (DLQI20) in 82.31% (n=107). In group I of patients "poor sleeping" there was a direct correlation between SLD (PSQI) and the severity of dermatosis (ρ=0.533; p0.001) and the duration of screen time (ρ=0.628; p0.001) spent on a smartphone per day. The patients of group I had a greater dependence on a smartphone compared to group II of patients "well sleeping": 15.94±1.89 points versus 7.71±1.96 points (p0.001). Conclusion. It has been established that the level of SLD has a high incidence in the group of patients with MMA. There is a pronounced correlation between dyssomnia and the severity of dermatosis; in patients with disturbed sleep, a high dependence on the phone and a correlation with the duration of screen time spent on a smartphone per day were revealed. This study demonstrates the need to pay attention to the presence of disturbances in the quality of sleep in people suffering from skin diseases, in particular acne.

Selection of disassembly schemes for multiple types of waste mobile phones based on knowledge reuse and disassembly line balancing

The growing number of waste mobile phones (WMPs) have made recycling an urgent issue. Different disassembly schemes demonstrate varying effectiveness in the large-scale disassembly of WMPs. It is necessary to consider both economic benefits and efficiency improvement comprehensively. This paper applies knowledge reuse and disassembly line balancing to the automated disassembly of multiple types of WMPs. In this regard, descriptive standards for mobile phone disassembly knowledge at different workstations are established based on the theory of knowledge reuse. In light of mobile phone disassembly characteristics, workstation thresholds, threshold intervals, and excessively small thresholds are introduced to improve the selection of disassembly line schemes. Based on a quantitative analysis of disassembly line balancing, the selection schemes for disassembling different batches of phones have been optimized. Case studies are conducted on Android and iOS system smartphones to verify the proposed method. The experimental results demonstrate that our proposed method, which incorporates disassembly knowledge, judgment thresholds, and selection schemes, substantially enhances the accuracy of disassembly line selection. For iOS system phones, designing two lines can disassemble all models of WMPs. For Android system phones, the retirement time of mobile phones influences the selection of lines in the disassembly process. Phones with earlier retirement times are more likely to be selected for simpler disassembly lines. Based on disassembly line balancing, two proposed cases for disassembling different batches of phones increase the overall disassembly efficiency by 48.4 % and 46.7 %, respectively.

Design and Analysis of a Mobile Automation Testing Framework: Evidence and AI Enhancement from Chinese Internet Technological Companies

This present study mainly describes the implementation and ideas of the mobile automation framework, which supports iOS and Android mobile automation testing technology. This study mainly uses a combination of qualitative and documentary analysis methods, designs some technical architecture diagrams, and writes some open-source code to implement respectively. Meanwhile, The automation code is not made public due to mobile automation security and privacy concerns. The paper is mainly driven by the so file inside Android and the ADB command, while iOS uses some class libraries based on the iOS system. The research framework also uses the Appium framework for encapsulation and research and carries out secondary encapsulation and call based on the internal Appium framework. It is convenient for the internal quality team's automated testing staff to use and execute and improve the efficiency and speed of automated software testing, which is the contribution of this research. Beside, The limitation of this research is that the framework is based on the secondary development and encapsulation of Appium framework, so this study are inevitably some imperfections and bugs that need to be continuously improved and used. Moreover, these contribution results demonstrate that it can combine the businesses of different china internet enterprises to complete. Next, the paper discusses specific cases of mobile automation testing framework and artificial intelligence in mobile framework design and evaluates their effects and impacts. Finally, the paper summarizes the roles and challenges of mobile automation testing framework design and AI enhancement elements and looks ahead to the future.

Digital plaque monitoring: An evaluation of different intraoral scanners

ObjectivesIntraoral scanners (IOS) display disclosed plaque, and the scientific literature has reported that plaque levels can be monitored on intraoral scans using one IOS system (Dexis 3800; control IOS). This study aimed to investigate whether this is also possible with other IOS systems (i700, Primescan, Trios 5; test IOS). Materials and methodsTen participants (29.6 ± 5.5 years) were enrolled. After plaque accumulation and subsequent toothbrushing, intraoral scans were performed with the control IOS and the three test IOS. All scans were aligned and the vestibular/oral surfaces of the Ramfjord teeth (16, 21, 24, 36, 41, 44) were analysed with automated planimetry using a predefined threshold value. The proportion of pixels assigned to plaque-covered areas was expressed as a percentage of the total number of pixels (P%). We then assessed whether the planimetrically determined plaque-covered areas corresponded to those identified visually. This revealed that a threshold correction (P%corr) was required for approximately 20 % (i700 and Trios 5) to over 65 % (Primescan) of the images. ResultsBland-Altman analysis showed no significant systematic bias and limits of agreement ranging from approximately -20 to +20 P% units, with a tendency towards lower values at higher plaque coverage. Manual correction improved the agreement and halved the limits of agreement. All test IOS could detect a reduction in plaque after brushing, as well as the typical site-dependant plaque distribution patterns. ConclusionsAll test IOS appeared to be suitable for plaque monitoring. Planimetric methods must be adapted to the colour representation of the IOS. Clinical significancePlaque monitoring using IOS opens a new field of application in preventive dentistry.

Apple’s Brand Marketing Strategy: A Case Study on Brand Image and Customer Engagement

This study examines Apple’s marketing strategy from a customer perspective, focusing on brand image and engagement. Apple has earned a strong brand image in the global market with its innovation, superior design and high-quality products. Apple’s product differentiation and well-established ecosystem set it apart from the competition in the market. Apple’s retail stores enhance the customer experience with personalized service and digital displays. Apple uses digital marketing to engage customers and raise expectations when new products are released. Hunger marketing strategies, attention to detail, and customer care foster customer satisfaction and loyalty. Apple’s products have evolved from tools to lifestyle and fashion accessories, and its iOS system is shaping a unique attitude towards life. Through the psychology of social identity, the study reveals how customer emotions are reflected in Apple’s brand marketing. In addition, Apple’s commitment to environmental sustainability creates a positive image. The study emphasizes the importance of branding in attracting and retaining customers. Apple’s marketing strategy has transcended business and becomes part of consumers’ lifestyles, making the Apple brand synonymous with innovation, style and social acceptance.

Development of Platformer Game “Adventure Drake” Using Finite State Machine Method

Video game is one of the most popular hobbies out there, someone who have been played games always ended with fun experience and adrenaline rush. The people who enjoy this type of hobby so diverse starring with kids, teenager, and adult. With increasing technology playing game is not exclusive on desktop pc or game console, but now can be play on smartphone with android and IOS system operations, so they can play game wherever they want, and whenever they want. For that reason, the author with interested in designing game with the platformer genre using 2D technology and using finite state machine for controlling character animation Therefore author make research platformer game adventure drake using finite state machine, the itself game can be played by anytime at anywhere. The main reason to building this game therefore adding onto the collection Indonesia game’s and analyses the game with implementing finite state machine method. The result from building this game is great, the game success implementing both 2D technology and finite state machine.

An Evaluation On The Entropy Supplying Capability Of Smartphone Sensors

Abstract Random numbers are very important for the security of computer system. However, generating qualified random numbers is difficult because we cannot always successfully introduce dedicated random number hardware into computer system. Although most operating systems provide random number generation capabilities, the effective entropy supply is still dependent on the hardware platform including memory and clocks etc. However, obtaining hardware events such as clocks requires system privileges, which is not conducive for entropy estimation at the application layer. In contrast, data related to the sensor hardware can be extracted directly at the application layer. These sensor data contain some randomness and may be used as a noise source. In this way, applications can use these sensors to implement their own proprietary random number generators. Before taking these sensors as the noise source, it is necessary to fully evaluate their entropy supply capability. In this paper, 300 Android smartphones and 30 iOS smartphones are selected as samples and their sensor entropy supply capabilities are comprehensively evaluated. Based on the entropy evaluation results, we give some suggestions on how to generate random numbers using these sensor data. We first design a framework for evaluating the entropy supply capability for smartphone sensors, based on the min-entropy estimation method proposed in NIST SP 800-90B. According to this framework, we simulate stationary and mobile working states for each smartphone, and collect sufficient sensor data as the min-entropy estimation dataset. The min-entropy estimation results show that in the stationary working state, each ACCELEROMETER sensor data collection can obtain at least 1.5 bits of entropy in Android, while each GYROSCOPE sensor data collection can obtain at least 20 bits of entropy in iOS. In the mobile working state, each ACCELEROMETER sensor data collection can obtain at least 1.9 bits of entropy, while each GYROSCOPE sensor data acquisition in iOS system can obtain at least 27 bits of entropy. This means that we can still get a stable entropy output from the sensor even when the smartphone is in stationary working state. Statistical analysis of the data using cross correlation methods suggests it is hard for an attacker to guess or predict the random numbers generated by a smartphone through another smartphone put in the similar external environment.

Research and Analysis of Chinese Character Learning Apps for Foreigners and Construction of the "HanZi Tong" Model

Based on the theory of self-directed learning and mobile learning, this text explores the research results of foreign Chinese learners and overseas Chinese in the application of Chinese character learning. The text aims to make use of fragmented time to break the time and space, material, and object limitations of Chinese character learning to promote the benign interaction between language technology and language economy. It also applies this approach to the practice of teaching Chinese as a foreign language to explore a new teaching model - the Chinese character learning application model. Based on the test results of the Chinese character learning application in the IOS system, this study proposes a prototype of an ideal Chinese character learning application - "Hanzi Tong" - through in-depth analyses and summaries of the main problems and advantages of the current Chinese character learning application, aiming at overcoming the difficulties in writing, remembering and recognising Chinese characters, and to provide feasible suggestions for promoting the integration of app-based independent learning and traditional classroom teaching.

Research on the brand image of iOS and Android smart phone operating systems based on mixed methods.

To analyze the differences in system functions, interaction behaviors and user experience between iOS and Android smart phone operating system, and then study the differences in their brand images, so as to provide theory and research method for shaping corporate brand images from the perspective of product interaction design. This study was divided into three stages. In the first stage, the functional information architecture of iOS and Android smart phone operating system are studied comparatively by using information visualization methods. In the second stage, the brand image differences between the two systems at the explicit, behavioral and semantic levels are analyzed comparatively by building the "explicit - behavioral - semantic" product brand gene model. In the third stage, the functions of "setting alarm clock", "sharing pictures" and "modifying passwords" were selected for interactive behavior analysis. First, analyze the user experience of the three system functions from the perspective of interaction process and information architecture, and present the analysis results using the method of information visualization.; Secondly, the user experience and brand image differences between the two systems are analyzed by setting up manipulation task experiments. The brand images of iOS and Android systems are similar in conciseness, clearness and efficiency; In terms of uniqueness, iOS system is more unique, while Android system has stronger applicability. This study constructs an "explicit-behavior-semantic" brand gene model to create a unique product brand image for software products such as operating systems through interactive design, so as to solve the problem of product brand image homogeneity caused by the convergence of function and interaction design.

Accuracy of the maxillomandibular relationship at centric relation position recorded by using 3 different intraoral scanners with or without an optical jaw tracking system: An in vivo pilot study

PurposeTo measure the accuracy (trueness and precision) of the maxillomandibular relationship at centric relation position recorded by using 3 different intraoral scanners with or without an optical jaw tracking system. Material and methodsA completely dentate volunteer was selected. Seven groups were generated: conventional procedure (control group), 3 IOSs: Trios4 (Trios4 group), Itero Element 5D Plus (Itero group), i700 (i700 group), and 3 groups with a jaw tracking system for each corresponding IOS system (Modjaw-Trios4, Modjaw-iTero, and Modjaw-i700 groups) (n = 10). In the control group, casts were mounted on an articulator (Panadent) using a face bow and a CR record captured with the Kois deprogrammer (KD). The casts were digitized by using a scanner (T710) (control files). In the Trios4 group, intraoral scans were obtained by using the corresponding IOS and duplicated 10 times. The KD was used to obtain a bilateral occlusal record at CR position. These same procedures were followed for the Itero and i700 groups. In the Modjaw-Trios 4 group, the intraoral scans acquired by using the corresponding IOS at MIP were imported into the jaw tracking program. The KD was used to record the CR relationship. For acquiring the specimens in the Modjaw-Itero and Modjaw-i700 groups, the same procedures were followed as in the Modjaw-Trios4 group, with the scans obtained with the Itero and i700 scanners respectively. The articulated virtual casts of each group were exported. Thirty-six inter-landmark linear measurements were used to calculate the discrepancies between the control and experimental scans. The data were analyzed by using 2-way ANOVA followed the pairwise comparison Tukey tests (α=0.05). ResultsSignificant trueness and precision discrepancies were found among the groups tested (P<.001). The Modjaw-i700, Modjaw-iTero, Modjaw-Trios4, and i700 groups obtained the best trueness and precision among the groups tested, and the iTero and Trios4 groups obtained the worst trueness. The iTero group obtained the worst precision among the groups tested (P>.05). ConclusionsThe maxillomandibular relationship recorded was influenced by the technique selected. Except for the i700 IOS system, the optical jaw tracking system tested improved the trueness value of the maxillomandibular relationship recorded at CR position when compared with the corresponding IOS.

IOS “Voice Memo” Audio Files Originality Authentication

In this paper, we modify the audio files recorded by IOS “Voice Memo” by cutting and erasing them in the software, and use various software and websites to authenticate the audio files originality by taking the method of graphical analysis and metadata feature analysis of the files. By comparison, we find out the differences of the original and modified audio files and the general method of judging the originality of audio files. The results of the experiments show that the audio files generated by the IOS system's own voice memo are in M4A format by default and that the audio files generated in the IOS system environment have the important feature of system version information encoding.

Desenvolvimento de um aplicativo para ensino de ultrassonografia pulmonar em emergência

Abstract: Introduction: The use of ultrasound protocols has revolutionized care in emergency medicine and can help in the diagnosis of respiratory failure in emergency care; therefore, medical training for the use of these protocols has become important. It has also been demonstrated that medical smartphone apps have positive results in daily practice, in addition to being a potentially valuable educational tool. Objective: Thus, the objective was to develop an emergency pulmonary ultrasound application. The “BLUE SIM” is a cell phone application that simulates clinical cases using the “Bedside Lung Ultrasound in Emergency” protocol, which can help students and health professionals regarding the use of pulmonary ultrasound in the care of acute respiratory failure. The hypothesis is that the “BLUE SIM” will be a usable and acceptable application among users. Method: After the development, the application was evaluated with a group of 36 volunteers, which included 18 physical therapists and 18 other professionals consisting of physicians, nurses and medical students. The usability and usefulness of a mobile application for the iOS system was analyzed, using the System Utility Score (SUS) usability scale and the Technology Acceptance Model (TAM) as references. The obtained data were tabulated and analyzed using Fisher’s exact test or Mann-Whitney test. Result: When applying the SUS questionnaire (usability), the application obtained a score of 76.8%. A score of 75% was obtained exclusively among physical therapists, with no statistical difference between the general group of all emergency professionals and the group of physical therapists only (p=0.239). According to the usefulness perception analysis, 93.9% of the emergency professionals had a positive response, while a score of 88.9% was obtained among physical therapists (p=0.04). Conclusion: It was concluded that the developed application was classified as useful in learning the diagnosis of respiratory failure among health professionals; however, they considered that training is necessary for its use.

Eliminate the hardware: Mobile terminals-oriented food recognition and weight estimation system

Food recognition and weight estimation based on image methods have always been hotspots in the field of computer vision and medical nutrition, and have good application prospects in digital nutrition therapy and health detection. With the development of deep learning technology, image-based recognition technology has also rapidly extended to various fields, such as agricultural pests, disease identification, tumor marker recognition, wound severity judgment, road wear recognition, and food safety detection. This article proposes a non-wearable food recognition and weight estimation system (nWFWS) to identify the food type and food weight in the target recognition area via smartphones, so to assist clinical patients and physicians in monitoring diet-related health conditions. In addition, the system is mainly designed for mobile terminals; it can be installed on a mobile phone with an Android system or an iOS system. This can lower the cost and burden of additional wearable health monitoring equipment while also greatly simplifying the automatic estimation of food intake via mobile phone photography and image collection. Based on the system's ability to accurately identify 1,455 food pictures with an accuracy rate of 89.60%, we used a deep convolutional neural network and visual-inertial system to collect image pixels, and 612 high-resolution food images with different traits after systematic training, to obtain a preliminary relationship model between the area of food pixels and the measured weight was obtained, and the weight of untested food images was successfully determined. There was a high correlation between the predicted and actual values. In a word, this system is feasible and relatively accurate for one automated dietary monitoring and nutritional assessment.

Mobile Positioning Data Based-Application for Medan Tourism Objects

Tourism Object is a fundamental component in the tourism industry and one of the reasons visitors travel. The State of Indonesia is one of the various countries whose number of tourist objects is very large and varied. One of these attractions is natural tourism, for example, the sea, beaches, rivers, lakes, and mountains, as well as for the building objects including historical heritage sites, forts, museums and so on. The method used in this study uses qualitative research by applying the method of mobile positioning data to help the manager of tourist attractions promote the location of tourist attractions. The mobile positioning system model can be used to understand and determine the mobile position based on location coordinates. This mobile positioning system uses GPS technology, a tool to get or generate the coordinates of the position of the online map technology that Google provides to show the position that has been stored in the system. The research results from this Tourism Object application can detect the user's location according to the mobile positioning data method. This Android-based Tourist Object application can display a list of tourist objects according to the area occupied by the user. This tourist attraction application can add new tourist objects by admin. It is hoped that in the future this application can be run on the iOS system and can add images to new tourist attractions.

Mobile-Based Augmented Reality Application in Pharmacy Schools Implemented in Pharmaceutical Compounding Laboratories: Students' Benefits and Reception.

Background: Augmented reality (AR) is a technological approach which combines virtual objects such as text, pictures or videos with physical objects (real-world). The study aimed to design, implement and validate a mobile-based AR application, as a self-paced, interactive, student-centered learning tool be used in the pharmaceutical compounding laboratory course for first year pharmacy students. Method: A mobile-based AR application (Amplified Rx app; HeyPayLess Inc) compatible with iOS and android operating system was developed. A cross-over study design was conducted where alternatively, one group was subjected to ARx app implementation in 8 formulations and the other group served as control. The reception and benefits to students were assessed via a 10 questions survey. In this case, 69 (2019) and 55 (2020) students participated in the study. Result: Students’ use of ARx app was increased in 2020 which indicates its usefulness. For acceptability, leaners enjoyed interactive materials and tutorial videos were the most used and appealing item. Learners described the installation, scanning and operation to be very easy in both years. 86.95% of learners were confident conducting the experiments with the assistance of ARx app in 2019 and increased to 92.73% in 2020. 33.33% considered ARx app to be the most helpful resource in 2019, and the percent was significantly increased to 76.36% in 2020. Conclusion: AR technology implementation in pharmaceutical education could create student-centered engaging and interactive learning experience in fundamental areas such as pharmaceutical compounding laboratories.

Convolutional Neural Network for Measurement of Suspended Solids and Turbidity

The great potential of the convolutional neural networks (CNNs) provides novel and alternative ways to monitor important parameters with high accuracy. In this study, we developed a soft sensor model for dynamic processes based on a CNN for the measurement of suspended solids and turbidity from a single image of the liquid sample to be measured by using a commercial smartphone camera (Android or IOS system) and light-emitting diode (LED) illumination. For this, an image dataset of liquid samples illuminated with white, red, green, and blue LED light was taken and used to train a CNN and fit a multiple linear regression (MLR) by using different color lighting, we evaluated which color gives more accurate information about the concentration of suspended particles in the sample. We implemented a pre-trained AlexNet model, and an MLR to estimate total suspended solids (TSS), and turbidity values in liquid samples based on suspended particles. The proposed technique obtained high goodness of fit (R2 = 0.99). The best performance was achieved using white light, with an accuracy of 98.24% and 97.20% for TSS and turbidity, respectively, with an operational range of 0–800 mgL−1, and 0–306 NTU. This system was designed for aquaculture environments and tested with both commercial fish feed and paprika. This motivates further research with different aquatic environments such as river water, domestic and industrial wastewater, and potable water, among others.

Platform Urbanization, its recent acceleration, and implications on citizenship. The case of Singapore

ABSTRACT Digital platforms operating on a global scale (social media, commerce, services, e-government and e-management services) are increasingly critical means for communication, exchange, and daily life, even without a direct use of platforms or connected devices. Their growing ecosystem and locally specific variations increase possibilities for data collection and targeting specific user profiles. Work life has become increasingly dependent on platforms including, for example, Microsoft's power platform, Google cloud, or the Apple iOS system. But also within community services and urban development, platforms are increasingly forming a firm component that may be for submitting taxes, getting health services, reporting suspicious activities in the neighborhood, profiling a political campaign, monitoring energy performances, or providing new employment opportunities. We argue that these processes in fact describe a specific kind of urbanization that is driven and administered through the digital means of platform technologies. This process of platform urbanization imbues every aspect of the urban environment and has experienced an acceleration during the recent pandemic. This contribution introduces the concept of platform urbanization and investigates the implications on citizenship and its digital realm, followed by an attempt to expand its conception. To bolster our argument, we discuss the case of Singapore, where the monitoring and control of the virus spread expedited the nation’s digitization efforts and where platform corollaries of the pandemic were seamlessly incorporated into an increasingly digital urban environment. In what follows, the last section brings about a series of questions addressing an urban digital citizenship scenario within platform urbanization as a space of empowerment, inclusion and participation.

PREFERENSI KONSUMEN TERHADAP MEREK SMARTPHONE BERDASARKAN SISTEM OPERASI (Studi Perbandingan Smartphone menggunakan Iphone S/IOS dengan Android OS)

This study aims to analyze the differences in smartphone brand preference in relation to android operating system and iOS, by analyzing the relationship between smartphone features and selection of smartphone brands based on android OS and iPhone OS, and the effect of the features offered Operating system used today by a brand smartphone with an interest in smartphone devices. Samples in this study as many as 100 respondents students in Denpasar City who use smartphones with iOS and Android operating system. By using convenience sampling method. Data analysis technique used in this research is multiple regression analysis and chi square test. The results of this study prove the difference in preference to smartphones with IOS and Android operating system, with Android smartphones have a greater preference than iOS smartphones. There is a connection between the smartphone feature and the preference to change the smartphone device it has.

Internet Financial Data Security and Economic Risk Prevention for Android Application Privacy Leakage Detection.

The rapid development of the Internet has brought great convenience to our lives, but it has also brought many problems. Due to the virtual nature of the Internet, many criminals conduct illegal and criminal activities in the virtual world. In the Internet, ordinary users account for the vast majority of Internet users, but at the same time, the information of ordinary users is also the easiest to steal, and malicious behaviors of stealing information of ordinary users continue to occur. Android system and iOS system are the two most common systems in the current smart phone system market. In the face of the current Internet chaos, both systems have exposed problems to varying degrees, especially the Android system. In order to protect the privacy of users, researchers have also begun to focus on the privacy protection of the Android system. Today, with the rapid development of mobile payments, the privacy of mobile phones is closely integrated with the security of users' property, and the resolution of privacy issues cannot be delayed. Now that the development of the financial industry has developed into the Internet, the Internet has provided a new place for financial development, but it also faces many risks. This requires Internet finance practitioners to formulate corresponding security protection systems based on the characteristics of the Internet. Starting from big data and based on the characteristics of Internet finance, this paper designs a data-centric Internet financial risk early warning system. The existence of this system can analyze the possible risks of Internet finance from the perspective of big data, enabling enterprises to prepare in advance, and effectively reducing the losses in the development of Internet finance.

Comparative analysis of UIKit and SwiftUI frameworks in iOS system

The paper concerns a comparison of SwiftUI and UIKit frameworks, used in iOS application development. SwiftUI was introduced in 2019 as a successor to UIKit as a main tool for creating application views. The purpose of this article is to compare the time performance of these two frameworks. Six testing applications have been implemented for the research, 2 in each framework. The software was complementary. The defined thesis "SwiftUI is more time efficient for applications with data collection and many filled text fields" was proved.