Implementing caregiver management measures in general hospitals to prevent the COVID-19 pandemic.

AIM: To summarize the whole process management measures for caregivers of inpatients in a non-new coronavirus pneumonia designated hospital in China during the novel coronavirus pneumonia epidemic. The implementation of these measures is mainly to prevent the virus pandemic caused by crowd gathering. DESIGN: A quasi-experimental study. METHODS: Novel coronavirus pneumonia prevention and control measures were implemented in the 'pre-hospital link, hospitalization link and discharge link' for the whole process of the hospitalized patients' caregivers. To evaluate the effects by time point inspection, the results were fed back using information technology for quality improvement. RESULTS: The results of three time point inspections indicated that the management quality of many projects improved continuously (p < 0.05). From January to June of 2021, 20 departments implemented a facial recognition information management system. The ratio of patients/caregivers admitted was 1:0.528~1:0.965; It was found that it is effective to implement the whole process management measures. The facial recognition system plays a key role in the comprehensive management of the caregivers.

An Approach for COVID-19 Identification from Chest X-ray Images Using High-Resolution Networks

In this paper, we present an approach for COVID-19 identification from chest X-ray images by using high-resolution neural networks. These networks allow to connect high-to-low convolution streams in parallel. They can maintain high-resolution representations and generate different resolutions throughout the whole process. The high-resolution based models have shown the superior performance in several applications. The experiments were evaluated on a collection of three data sources containing 24,786 lung X-ray images, which were categorized into three classes including covid pneumonia, non-pneumonia, and viral pneumonia. The proposed approach can attain the overall accuracy of 98.2% and 97.56% for the training and testing set, respectively. The accuracy for each class is 99.37%, 94.83%, and 97.27%, respectively, for non-pneumonia, covid-pneumonia, and viral-pneumonia. © 2022 IEEE.

Detection and Prevention COVID- 19 Patients Using IoT and Blockchain Technology

COVID-19 epidemic second wave is affecting the world severely. It is a gigantic challenge for governments of all countries to protect their citizens from this virus and put effected ones in quarantine centers so that these can’t cause of spreading Covid-19 virus any more. There is no trustworthy treatment of this disease till now (16 November 2020). Complete Lockdown is not solution for this pandemic because this can lead heavy loss of economy and can cause enhance in poverty and hunger in society. In this study we proposed a smart method of detection and prevention the people from COVID-19 with help of IoT and Blockchain technologies. Now a day’s sensor is a cheap technology and different devices can be thru sensors. Each person in COVID-19 suspected area has a smart corona belt in his wrest along with face mask. This belt consists of different hardware modules like sensors, tiny battery and transvers. Sensors collect the different symptoms of a person for COVID-19 then this information will be communicated to other entities like government database, quarantine center and rescue office. This corona belt can detect a person as safe, suspected, high Suspected and positive. A person is safe if he has no COVID-19 symptoms and also not met someone having COVID-19 positive. If someone has COVID-19 symptoms then he is suspected case and if someone has COVID-19 symptoms and also met with COVID-19 positive he will be high Suspected case. All smart corona belts communicate with cellular phone running COVID-19 application for processing and sending messages to government database, corona centre and rescue centers for different actions. In this proposed solution three layered architecture is used to enhance the flexibility and effectiveness of system. The whole process is enabled by IoT, fog and cloud technologies. All information is stored using blockchain for the sake of data privacy, Integrity and security. © 2022, Springer Nature Switzerland AG.

Applying Collaborative Tools for ATM Interface Design in a Remote Context

In a financial institution in Peru, a framework for ATM (Automated Teller Machine) interface design based on UCD (User-Centered Design) is being implemented and utilized. This framework has defined a set of phases, activities, and tools to carry out a whole process of interface design or redesign. This framework had a highly face-to-face component, but due to the context of the COVID-19 pandemic, where virtualization and remote work became widespread, all activities and tools were updated to support full virtuality. In this way, certain tools were incorporated and, thus, the framework has updated to enable and promote collaboration in a completely remote environment. In this sense, the results of a case study are presented, where the framework was executed in its remote version, for the attention of a design and implementation requirement in ATM. Results were very positive, from the point of view of the evaluation results, and the acceptance of stakeholders. They gave their agreement for the implementation of the proposed design;as well as feedback from the project team members, who consider that the framework has responded adequately to the challenges of remote work. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Reliability Investigation of Contact Tracing using Resource-Constrained Mobile Devices

During this pandemic time while finding the (SARS-CoV-2) infected person many of the applications got active where various nations participated actively. The main device involved in the whole process is Smartphone. The existing applications are focusing on the use of Bluetooth technology. Bluetooth is limited with the area it can cover and noise it produces to broadcast the messages to the neighbors. Also, while searching the position of the infected person one concern could be that is Position of the smartphone accurate? or for how long the tracing will happen? While tracing the position of the person whether infected or not infected, the compromise cannot be done. At the pandemic situation, the little mistake of the position will cost the life of a person and the growing number of infected persons will yield to an exponential cost. Also, the life of the smartphone to keep working needs energy through battery. Continuous localization will need continuous flow of the energy for that device. Thus, the smartphone needs to be charged after a period of time. So, when a person is in a public place, he will need his smartphone to be active. Our main concern with the whole paper is to find the solution through the simulation for the position accuracy of the smartphone as well as to manage the energy consumption. © 2022 IEEE.

Does Deception Leave a Content Independent Stylistic Trace?

A recent survey claims that there are\em no general linguistic cues for deception. Since Internet societies are plagued with deceptive attacks such as phishing and fake news, this claim means that we must build individual datasets and detectors for each kind of attack. It also implies that when a new scam (e.g., Covid) arrives, we must start the whole process of data collection, annotation, and model building from scratch. In this paper, we put this claim to the test by building a quality domain-independent deception dataset and investigating whether a model can perform well on more than one form of deception. © 2022 Owner/Author.

A Decentralized Digital Voting System Based on Block chain Architecture

Voting is the backbone of democracy and the fundamental right of every citizen. BlockChain based Election is like a boon for every nation through which the election can be conducted digitally, Unlike those old (paper based) and traditional (EVM) voting systems it makes the whole process of election safe, smooth and easy. In this era of Covid-19 this Block chain enabled election is the need of the hour, People can cast votes from their own space just with the help of a mobile phone or a computer, Security would get enhanced and threats like EVM hacking, Chaos at election booth would reduce drastically just by the implementation of this advanced voting system. Personal ID's and unique keys would be provided to each and every eligible voter which can't be tampered at any cost. It has two modules to make the entire project look consolidated and unified. First module is the Election Commission who could be liable for undertaking it, appending concerned everyone competing for the voting attached under blockchain. User end will be the resident's component where every eligible voter can choose a leader according to their separate Constituent sitting and the votes would get registered on the blockchain to make it tamper protected. © 2022 IEEE.

Wi-Fi Attendance System in the IoT Era

Traditionally, attendance is marked manually by students writing down their name on a paper. This whole process wastes some of lecture time and might even get lost. Maintaining the attendance of the students in an institution is a hefty task. This project aims at designing a smart attendance system that automatically monitors and manages attendance of the students in an institution efficiently. The system is developed with an Arduino ESP8266 Wi-Fi microcontroller deployed in the class room. Further, Wi-Fi communication modules was used to make convenient communication between the student’s devices e.g. phone or laptop and the ESP8266 Wi-Fi microcontroller. Database was created where the attendance submitted will be logged and saved. Internet is utilized to transfer the information collected by the micro controller to the database and from the database to the front-end web page GUI graphical user interface. The students and admin will make one-time registration and subsequently establishing a Wi-Fi connection between the student’s device and the microcontroller in the class to mark an attendance. This system will arrange the attendance in a list with a real time timestamp and save it to database, and also be accessible to the lecturer/Admin over internet any time with uses of web browser e.g. Google chrome through the front end graphic user interface (GUI). This system is useful to reduce manual method of attendance by teachers and to alleviate the spread of COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Quality Management for Point-Of-Care Testing of Pathogen Nucleic Acids: Chinese Expert Consensus.

COVID-19 continues to circulate globally in 2021, while under the precise policy implementation of China's public health system, the epidemic was quickly controlled, and society and the economy have recovered. During the pandemic response, nucleic acid detection of SARS-CoV-2 has played an indispensable role in the first line of defence. In the cases of emergency operations or patients presenting at fever clinics, nucleic acid detection is required to be performed and reported quickly. Therefore, nucleic acid point-of-care testing (POCT) technology for SARS-CoV-2 identification has emerged, and has been widely carried out at all levels of medical institutions. SARS-CoV-2 POCT has served as a complementary test to conventional polymerase chain reaction (PCR) batch tests, thus forming an experimental diagnosis platform that not only guarantees medical safety but also improves quality services. However, in view of the complexity of molecular diagnosis and the biosafety requirements involved, pathogen nucleic acid POCT is different from traditional blood-based physical and chemical index detection. No guidelines currently exist for POCT quality management, and there have been inconsistencies documented in practical operation. Therefore, Shanghai Society of Molecular Diagnostics, Shanghai Society of Laboratory Medicine, Clinical Microbiology Division of Shanghai Society of Microbiology and Shanghai Center for Clinical Laboratory have cooperated with experts in laboratory medicine to generate the present expert consensus. Based on the current spectrum of major infectious diseases in China, the whole-process operation management of pathogen POCT, including its application scenarios, biosafety management, personnel qualification, performance verification, quality control, and result reporting, are described here. This expert consensus will aid in promoting the rational application and robust development of this technology in public health defence and hospital infection management.