iOS Phones Research Articles

Improving primary health care for children and adolescents in Europe

Primary health care for children in Europe is often not optimal. Primary care providers might not have been trained adequately in dealing with common conditions affecting children and adolescents, and outdated practices often persist. To address these problems, WHO developed the Pocket Book of Primary Health Care for Children and Adolescents. It is for use by doctors, nurses and other health workers who are responsible for the care of children and adolescents at the primary health care level. It summarizes guidance on how to manage – and when to refer – children and adolescents presenting with common complaints and conditions. It includes information to enable primary health care providers to coordinate the continued care of children and adolescents with long-term conditions and diseases managed by specialists. Preventive and promotive measures from the newborn period to adolescence include advice on the timing and content of well-child visits, the promotion of early childhood development and health messages for adolescents.The recommendations of the Pocket Book apply across the WHO European Region and may be adapted by countries to suit their specific circumstances. A mobile APP for Android and IOS phones is available to facilitate uptake and dissemination. The Pocket Book and APP aim to improve quality of care for children and adolescents at the primary health care level. Quality of care is at the core of the comprehensive European Child and Adolescent Health Strategy that is being developed by Member States supported by WHO and partners to refocus attention on child and adolescent health after the COVID-19 pandemic had scooped attention and resources away from this age group. Countries are encouraged to adapt Pocket Book and Strategy to improve the situation of child and adolescent health and well-being in their settings and monitor progress.

A Novel Hadith Authentication Mobile System for Android and Ios Phones With Arabic to English Language Translation

This paper endeavors to create a groundbreaking Hadith authentication mobile system providing Arabic to Malay translation for Android and IOS devices. The background highlights the importance of Hadith in Islamic tradition and the challenges Malay-speaking Muslims face in accessing authentic Hadith resources. The problem statement underscores the language barrier, authenticity concerns, and the lack of comprehensive mobile solutions. The paper’s objectives encompass developing the mobile system, implementing authentication criteria, offering user-friendly features, and enhancing access to authentic Hadith sources. The paper’s significance lies in providing access to authentic Hadith, promoting authentication, and empowering the Malay-speaking Muslim community. The scope includes essential app features and authentication algorithms, while limitations pertain to language support, authentication variability, resource constraints, translation nuances, and continuous updates. This paper aspires to bridge the gap in Hadith accessibility and contribute to a deeper understanding of Islamic tradition among Malay-speaking Muslims. This paper explores the issue of Hadith authentication and scrutiny, focusing on critical scholars’ impressions and the standard used by Hadith compilers. The system uses a client-server architecture and combines web and mobile technologies for administrative and public access. The web interface uses Springboot for Java, while the mobile interface uses React Native for cross-platform applications. The system communicates through rest services and is validated using statistical analysis. The paper also translates authentic Hadith from Arabic to Malay language.

User Friendly Android-based Contact Application: Case of Accessible Contact in Educational Organization

Abstract: In a digital era, people prefer to use smart gadgets and it is growing to be instrumental in daily lives. The features of the smartphone are also evolving, leading to effectiveness for end users. With such an aim, an android-based contact application was developed that would benefit an organization. As an interim measure, this application is based on Jigme Namgyel Engineering College under the Royal University of Bhutan. Currently, this organization do not have a 'contact application' that can be used as a digital phonebook. Therefore, the entire faculty, staff, and students have to search for contact details through person-to-person communication leading to several inconveniences. This android base application called JNEC Contact made contact detail of the college’s staff available and accessible to staff and students without an internet connection. This application is implemented specifically for JNEC to ease the difficulties of acquiring contact information of faculty and staff. The application titled JNEC Contact has other features such as text messages and mail-to-direct correspondence. It is known to be more comfortable, efficient, and user-friendly to find a contact, unlike the phonebook. The current version of the application has limited compatibility with the android version only, but it can be developed for IOS phones in the future.

IoT Based Gas Leakage Detection and Alarming System using Blynk platforms

Gas or liquefied petroleum gas (LPG) is a chemical substance resultant from petroleum and could be dangerous in industrial places or those that deal with this substance. Gas leakage causes many health issues. So, to prevent such catastrophes and in order to maintain a clean air environment, the workspace atmosphere should be frequently monitored and controlled. The proposed monitoring gas leakage detector system is based on Internet of Things (IoT) technology. NodeMCU ESP8266 Wi-Fi is used to be the microcontroller for the whole system. The combustible gas sensor (MQ2) is used in order to detect the presence of methane (CH4) and carbon monoxide gas (CO). MQ2 sensor will detect the concentration of the gas according to the voltage output of the sensor and the ESP8266 will send the data reading from the gas sensor to Blynk IoT platform over an IOS phone; data visualization is done using Thingspeak IoT Platform. Besides, a fan will immediately work upon the leakage occurs along with an alarming buzzer.

Secure Cloud Connected Indoor Hydroponic System via Multi-factor Authentication

Now-a-days, the hydroponic farming system with the Internet of Things (IoT) technology is increasingly becoming a trend for researchers to produce a more capable farming device or remote monitoring system. However, this intelligent system is not controlled securely and will be dangerous when system hacking occurs. Therefore, developing a secure indoor hydroponic monitoring device with multi-factor authentication (MFA) method is proposed. The research aims to develop a secure cloud-connected indoor hydroponic system via multi-factor authentication on the ThingsSentral IoT platform with an MFA technique. The developed system comprises an iPhone Operating System (iOS), an Arduino node microcontroller unit and a ThingsSentral web IoT platform. A security software application on iOS phones with MFA techniques is built to authenticate devices before communicating with ThingsSentral.io. Token authentication between ThingsSentral.io and the security software application must be done before the hydroponic monitoring device can send and receive data. An indoor hydroponic monitoring system device with MFA security technique has been successfully produced from the study. An MFA security technique for iOS apps has also been successfully developed. In conclusion, using the MFA technique, this research successfully develops a high-security control and communication system between the field device and the IoT platform. Although the MFA security system developed for this IoT platform has several steps that need to be done before data can be sent to the cloud database, the users themselves can allow or prohibit a device from operating. Besides, users can also control and monitor the security between the device and the IoT platform when they operate.

1485. Mobile Bedside Ultrasound (mBSUS) and Use of an Artificial Intelligence Algorithm for Diagnosis of Pediatric Pneumonia in Limited Resource Settings

BackgroundIn low and middle-income countries (LMICs) pneumonia is by far the leading cause of death among children < 5 years of age. A key factor is the challenge of pneumonia diagnosis. Chest X-Ray is the gold standard for pneumonia diagnoses but exposes children to ionizing radiation and is mainly restricted to hospital settings.advances in artificial intelligence (AI) render possible the automated interpretation of mobile bedside US (mBSUS) images on a smartphone, obviating the need for a radiologist.Ultraspund findings in pneumonia Artificial intelligence feature recognition MethodsWe measured the accuracy of mBSUS for the diagnosis of pneumonia using chest X-Ray as the gold standard. Children 1-59 mo presenting at the University Teaching Hospital in Lusaka, Zambia with ages ranging from aged 1-59 months and meeting WHO criteria for severe/very severe pneumonia were enrolled. Clinical data is collected in RedCap. Digital X-Rays were done at the University Teaching Hospital and saved as JPEG images. Pulmonary mBSUS images are taken using a butterfly, a mobile device system, and stored in the butterfly iCloud of the Butterfly app and transmitted to an iOS phone or tablet. Images are stored locally and saved to a secured/encrypted cloud platform for remote viewing with a HIPAA (Health Insurance Portability and Accountability Act) compliant secure cloud.Images are currently extracted from the clips stored in the butterfly icloud, radiologists annotate the images that have abnormal findings and they are then sent to the AI lab where they are analyzed and organized to build a platform of similar images that could be recognized by the machine learning system.Imaging correlation CXR Vs mobile bedside ultrasound mBSUS Butterfly ultrasound system ResultsOf the 11 patients enrolled so far, ll have been having ultrasound images that correlated with chest x-ray findings. In three of those patients, the ultrasound has shown pulmonary findings not recognized or hardly seen on chest x-ray. The artificial intelligence lab is developing a pull of images that will be used to recognize patterns of consolidation from mBSUS images.Protocol fro obtaining images ConclusionMobile pulmonary ultrasound mBSUS is a feasible, non radiation technique that could be used in limited-resource settings to diagnose pneumonia in children. Images obtained from mBSUS can be used to build a pattern of recognition based on consolidation findings.Disclosures All Authors: No reported disclosures

A novel Hadith authentication mobile system in Arabic to Malay language translation for android and iOS Phones

This paper critically analyses the key problem of Hadith authentication and scrutiny. The study looks into key aspects, such as the impression of critical scholars and the standard accepted by the main compilers of Hadith in giving rulings on the validity of Hadith. The paper uncovers an authoritative blend of facts, theory, and critical enquiry with an engaging insight. The system is designed using a client–server architecture. Also, the system is based on two major technologies namely web and mobile technology, for the back and front-end, respectively. The web-based interface is used for administrative task while the mobile based interface is for public access. The web interface was developed using Springboot a java based frame wake, while the mobile interface was developed using react native. React native uses a Javascript syntax to make cross platformed applications that can run both on android and iOS platforms. Moreover, the web and mobile interfaces communicate through rest services. Statical analysis was used for the validating our results with the state-of-the-arts systems. Finally, the paper translates authentic Hadith from Arabic to Malay language.

“It is frustrating to not have control even though I know it’s not legal!”: A mixed-methods investigation on applications to prevent mobile phone use while driving

Mobile phone distracted driving is a major risk factor for crashes. However, this behaviour has been increasing in recent years. Effective enforcement of mobile phone bans while driving faces several obstacles; as such, it is important to consider additional countermeasures. Applications designed to prevent distracted driving are a promising solution, yet more research is needed that examines their effectiveness in reducing dangerous phone use while driving behaviours. Additionally, these applications are voluntary in nature; therefore, an understanding of drivers’ perceptions of the applications is necessary to determine how to improve uptake. A mixed methods design was utilised to examine these factors in a comprehensive manner. A total of 40 participants used the smartphone application “Do Not Disturb While Driving” for iOS phone operating systems or “Android Auto” for Android phone operating systems for approximately one week and completed three diary entries reporting on their experience. Two questionnaires that examined phone use while driving behaviours were also administered to participants; one before and one after completing the study. The quantitative results found that engagement in 1) visual-manual, 2) cognitive-auditory and 3) music mobile phone interactions significantly decreased while using the application. Distraction engagement and mental workload while driving also significantly decreased while using the application. The qualitative results identified a number of areas of improvement that need to be addressed, e.g. activation of the application and Bluetooth connection reliability. The features that required improvement presented an obstacle for effective use of the applications, and in some cases resulted in drivers deciding to stop using the application. Positive perceptions of the application were associated with the experiences of the application functioning appropriately and activating automatically. These results show that applications designed for voluntary use to prevent mobile phone distracted driving are a promising countermeasure, although current applications require several improvements.

Prospective NDT methods for assessing the quality of polymer composites under production conditions

Purpose: Analysis of non-destructive testing systems polymer composite in terms of current solutions in the area of methodology and devices. Analysis of contemporary standards for non-destructive testing of polymer composites established by ASTM. Analysis of Flir ONE camera capabilities in non-destructive testing composite carbon-epoxy composites. Design/methodology/approach: The thermal imaging tests of the carbon-epoxy composite discontinuity were carried out using a thermal imaging camera and Flir One accessory for an iOS phone. The tests were performed on carbon-epoxy composite samples measuring 100x100 mm. In order to simulate the discontinuity in a sample by the Resin Transfer Molding (RTM) method, a 30x30 mm PTFE film was inserted between the reinforcement layers. The thickness of the sample with discontinuity was 2 mm. Water was added to the selected sample sites. Samples were placed on a 50°C heated plate to record thermal images and thermal images combined with visual contours of samples with simulated defects. Area Calculator – SketchAndCalc Icalc, Inc. was used to describe the size and location of the defects. Findings: As a result of the tests, the use of the Flir One thermal imaging device in epoxycarbon composite discontinuity tests has been demonstrated, and a methodology has been proposed to measure geometrical features of defects. Research limitations/implications: The description of welded joint structure and mechanical properties was based on welding toughened steels by using an innovative welding method and a filler that has been proposed. Practical implications: The development of thermal imaging studies of polymer composite discontinuity using the Flir One thermal imaging camera and accessory with iOS opens up the possibility of conducting a basic inspection of composite materials in production plants, and even for simplicity – also in small laboratories. Originality/value: In order to improve the quality of imaging of small items using the Flir One mobile camera, the use of cheap and readily available lenses used in laser optics has been tested positively.

Connecting patient care to global health trends by health app analytics.

The spectrum of mobile health applications, or ‘apps’, follows the supply chain of health services from storage of and access to knowledge, training and reference tools, diagnostic and treatment supply chain management, clinical care and direct patient services. Their potential for improving health services for the world's poor now seems obvious, as mobile phones rest in the hands of the majority of people in the developing world. In this issue of Public Health Action, Wright et al. report on the international use of a recent mobile health (mHealth) app developed by Medicins Sans Frontieres (MSF) to support their own and other care providers with clinical care guidelines in remote and resource-limited settings.1 The MSF Guidance app improved field accessibility of their guidelines over paper versions, which often suffered from limited supply and lack of accessibility in the field. The MSF guidelines are now freely available to anyone with an Android or iOS phone and (even intermittent) data connections. The app has the additional benefit of tracking the health subject matter accessed, and therefore has the potential to be used to track geographical outbreaks of certain conditions. Usage analytics of the app, in this case offered freely by Google Analytics, have empowered the back end of the application to consolidate valuable information on geographical health interests of the app users, stamped in time. This is key. By using some basic selection criteria, such as time spent on each app page as an indication of what information is likely being consumed by the user (an algorithm that could eventually be further refined for big data analysis), geographic interest in disease conditions can be identified. This was illustrated by the Ebola page access peak in 2014, when guidelines were released to support the West Africa outbreak, and a spike in respiratory infection views in South Sudan in November. As the authors mention, many spikes may reflect users' general educational needs, or interest in current global health issues; however, they may also indicate increased presentation of clinical syndromes that may precede definitive causal detection of outbreaks or other health trends. If evaluated in real-time, the approach could be an electronic flag to emerging health issues. The authors note that one limitation is not being able to identify which users were MSF clinical staff; however, this may be interpreted as a strength. MSF currently operates in over 70 countries worldwide, yet the app was downloaded in 150 countries, indicating spillover in use and the potential to contribute to surveillance on an even larger scale. By publishing these findings, they are starting to build a publicly available database of clinician health information seeking. The MSF Guidance app, while used widely across the globe, is relatively new, and represents only a portion of the world's frontline clinical app users.2 Others should be encouraged to publish their analytics. At a minimum, information sharing can provide static cross-sections of clinicians' needs and interests, akin to meta-analyses. Beyond that, globally interconnected real-time monitoring of front-line clinicians who are using health apps, regardless of their affiliation, could be a powerful way to monitor global trends from the front lines. Typical for MSF, the top three countries using their particular app were in areas of significant poverty and insecurity, ensuring the information technology revolution is reaching out to those who may need it most.