Social media use in government health agencies: The COVID-19 impact

Government communications typically use social media for federal agencies, national policies, and emergency cases. However, it is crucial to understand the use of these platforms within local government agencies. This investigation fills this gap and includes social media data during three months of the COVID-19 pandemic and compares it with previous trends. The research question that leads this research is: How has government social media use and communication behavior changed due to the COVID-19 pandemic? This research analyzes a study case applied to a local Mexican government agency named ISSEMyM. We analyze the data during the period between October 2017 and June 2020. Findings reveal a consistent use of Twitter and Facebook for communication by the ISSEMyM government agency. Also, it indicates an increase in engagement and communication flow over three years. We found that official local government communications remained unchanged during the whole period. We found no change in interaction, number of followers, and message structure during this period; however, the COVID-19 pandemic radically alters interactions, followers, and user engagement.

The Da’wah Messages as the Spiritual Marketing Approach of Islamic Fashion E-Commerce at HIJUP.COM

Indonesian Muslim consumers are looking for functional and emotional benefits in products and seeking spiritual blessings. This trend is a challenge for Islamic fashion e-commerce in promoting its products. This study uses a qualitative approach with the type of single case study research methods. The subject of this research is Islamic fashion e-commerce HIJUP.com. Researchers selected informants in the study using purposive sampling and snowball sampling techniques. Researchers used two analysis methods in case of breakdowns: an analysis based on theoretical propositions and developing case descriptions. The study results show that in Islamic fashion e-commerce, HIJUP.com contains the contents of da’wah messages, precisely, Look Good, Feel Good, Do Good. The da’wah message includes a philosophy that leads to obedience to Allah SWT concept. The message structure uses conclusion drawing and order of presentation. The message display in HIJUP.com is high-tech but straightforward techniques. The message format is unique, with interests in story or narrative and visual elements. The source of the message uses brand ambassadors, influencer marketing, and also buzzers. The study concludes that the da’wah message conveyed by Islamic fashion e-commerce includes aqidah, sharia, and morals that focus on obedience to Allah SWT, not in the preaching style while inspiring to empower Muslim women.

The Identification of Persuasive Educational Message About Covid-19 Issue in New Media

Indonesia has becoming one of the countries with highest rate in Covid-19 transmission and part of 15 biggest countries in the world with highest death rate because of it. Various efforts have been conducting to persuade people such as delivering the Covid-19 education messages by new media TikTok. This research is a qualitative research with content analysis as the method. The object choosen are three video in new media TikTok that come from the point of view of the health workers, family of the health workers and society. The theory used is The Persuasive Theory. The results show that the persuasive carried out through the research object used an evidence-based approach, using humor and based on diction. Based on diction is carried out from the side of the health worker family members. Based on the evidence is carried out from the point of view of people affected by the virus. The humor approach is carried out from the perspective of medical personnel. The message structure contained in the video object shows uniformity, including the presentation of messages consisting of one-sided, the order in which the message is presented using the climax flow and drawing conclusions that indicate the message is expressed or addressed directly.

Extraction of Text From Image

Picture Text is the content data implanted or written in picture of various structure. Picture text can be found in caught pictures, filtered records, magazines, papers, banners and so on These picture messages are profoundly accessible these days and they are vital in addressing, depicting and moving data which help people groups in correspondence, tackling issues, accessibility, formation of new sorts of occupations, cost viability, efficiency, globalization and social hole and so forth The data from these picture archives would give higher proficiency and straightforward entry on the off chance that it is changed over to message structure. The cycle by which Image Text changed over into plain content is Text Extraction. Text Extraction is helpful in data recovering, looking, altering, recording, filing or detailing of picture text. In any case, variety of these writings because of contrasts in size, direction style, and arrangement, text is installed in complex hued archive pictures, corrupted reports picture, inferior quality picture, as well as low picture differentiation and complex foundation make issue text extraction incredibly troublesome what's more, testing one. Various strategies like Connected Component Method, Mathematical Morphology Method, Edged Based Method and Texture Based Method have been utilized beforehand, however those all have their own constraints when estimated by various boundaries like exactness, review and f- score. In this paper, text extraction from picture reports, utilizing blend of the two amazing techniques Connected Component and Edge Based Method, to improve execution and exactness of text extraction is talked about and execution is finished by incorporated MATLAB code with MATLAB/Simulink device and the proposed framework is tried by Digital Image Binarization Competition (DIBCO) 2017 dataset. At long last, the separated and perceived is changed over to discourse for legitimate use for outwardly hindered individuals.

Performance Evaluation of Publish-Subscribe Systems in IoT Using Energy-Efficient and Context-Aware Secure Messages

Background: The Internet of Things (IoT) enables the development of innovative applications in various domains such as healthcare, transportation, and Industry 4.0. Publish-subscribe systems enable IoT devices to communicate with the cloud platform. However, IoT applications need context-aware messages to translate the data into contextual information, allowing the applications to act cognitively. Besides, end-to-end security of publish-subscribe messages on both ends (devices and cloud) is essential. However, achieving security on constrained IoT devices with memory, payload, and energy restrictions is a challenge. Contribution: Messages in IoT need to achieve both energy efficiency and secure delivery. Thus, the main contribution of this paper refers to a performance evaluation of a message structure that standardizes the publish-subscribe topic and payload used by the cloud platform and the IoT devices. We also propose a standardization for the topic and payload for publish-subscribe systems. Conclusion: The messages promote energy efficiency, enabling ultra-low-power and high-capacity devices and reducing the bytes transmitted in the IoT domain. The performance evaluation demonstrates that publish-subscribe systems (namely, AMQP, DDS, and MQTT) can use our proposed energy-efficient message structure on IoT. Additionally, the message system provides end-to-end confidentiality, integrity, and authenticity between IoT devices and the cloud platform.

Motivations, barriers, and communication recommendations for promoting face coverings during the COVID-19 pandemic: Survey findings from a diverse sample

State and local health departments have been tasked with promoting the use of face coverings to decrease the spread of COVID-19 in their respective communities. However, little is known about motivations and barriers to wearing face coverings in the context of COVID-19 prevention, particularly among communities of color who are at an increased risk of serious illness from the disease. The purpose of this study was to identify common motivations and barriers to face covering use, as well as explore perceptions of messages encouraging the use of face coverings among a racially and ethnically diverse sample. A survey was distributed electronically to North Carolina (NC) residents through NC Department of Health and Human Services listservs in July 2020. Participants self-categorized as Latino/a (33.5%), Black (39.1%), or white or another race (27.5%). The most commonly endorsed motivations for wearing face coverings were to avoid spreading COVID-19 (77%), as well as to protect people who are vulnerable (76%) and one’s community (72%). Being uncomfortable (40%) was the most commonly endorsed barrier. Messages that included a clear request (ex. please wear a face covering) and a direct benefit (ex. keep community safe) were more commonly endorsed than those that did not. Commonly endorsed motivations, behaviors, and messages differed by race and ethnicity. Increased attention to message content, message structure, and access to information and resources may aid local officials in increasing consistent use of face coverings.

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

This paper presents a solution to support service discovery for edge choreography based distributed embedded systems. The Internet of Things (IoT) edge architectural layer is composed of Raspberry Pi machines. Each machine hosts different services organized based on the choreography collaborative paradigm. The solution adds to the choreography middleware three messages passing models to be coherent and compatible with current IoT messaging protocols. It is aimed to support blind hot plugging of new machines and help with service load balance. The discovery mechanism is implemented as a broker service and supports regular expressions (Regex) in message scope to discern both publishing patterns offered by data providers and client services necessities. Results compare Control Process Unit (CPU) usage in a request–response and datacentric configuration and analyze both regex interpreter latency times compared with a traditional message structure as well as its impact on CPU and memory consumption.

AUSTRALIA-JAPAN QZSS EMERGENCY WARNING SERVICE TRIAL PROJECT

This paper provides an overview and the results of the Australia-Japan 2020 Quasi Zenith Satellite System (QZSS) Emergency Warning System trial project. The project aimed to evaluate and demonstrate the feasibility of utilising the QZSS system to support emergency warning and response in Australia. The trial has focussed on bushfire and tsunami warnings with an emphasis on the message structure and standards for incorporation on the available signal bandwidth, and the spatial coverage extent of the messages. It also aimed to address the need for a space-based communication capability in Australia, which could potentially facilitate effective emergency warning system unconstrained by the limitations of terrestrial telecommunications.A newly dedicated MobileApp was developed to decode the warning message and visualise relevant information on a map. Two messages for bushfire and tsunami warnings were generated in Australia and sent to the QZSS ground station for satellite transmission. The developed application was tested in Victoria and New South Wales. The trial was successful in the sense that the emergency warning message could be received and decoded using the QZSS enabled receivers and the dedicated MobileApp. The field tests showed that the systems are capable of delivering the required information to users with the required timeliness and completeness. Several technical issues encountered during testing can be primarily attributed to the alpha state of the app, and the specific receiver used for testing. Neither of which are considered to be significant barriers to the on-going development of an operational satellite EWS system.