ABSTRACT
COVID-19, is caused by the transmission of SARS-CoV-2 through direct or indirect contact with infected people though respiratory droplets has transitioned from a pandemic to an endemic but is still regarded as active by WHO. Restrictions and lockdowns were lifted as the situation became endemic, but the previous measures had to be kept in place. By developing a module that includes temperature monitoring, face mask detection, a non-contact sanitizer dispenser, and door automation that operates based on the number of individuals inside a closed area in order to maintain social distance, our project aims to incorporate these precautions into our everyday language. As a part of making the new normal easily adaptable, we also introduce a webpagebased reservation system, which wm essentially display the current count and also help in reducing the waiting periods. © 2023 IEEE.
ABSTRACT
During the current COVID-19 pandemic, the large number of positive cases of infection has resulted in medical institutions lacking personnel to treat patients who continue to arrive. As a result of these problems, supervision and monitoring of room conditions is still lacking or even non-existent, so that the recovery process can be hampered or can facilitate the transmission of the virus to other people. It takes a device or tool that can monitor conditions and regulate the isolation room so that the temperature and humidity remain in the optimal zone so that recovery can be optimal and also reduce the risk of virus transmission. Based on this description, the author applies the concept of IoT by utilizing the IoT platform system and designing a system and tool that can monitor and regulate the COVID-19 isolation room and convey this information quickly and concisely. In addition, this study also examines how well and easily understood the system is when used by end-users by using the System Usability Scale or SUS as its usability testing method. The results obtained from this study are that the system and equipment function properly, the automation system and the method used are able to mitigate changes in temperature and humidity in the isolation room, and through the SUS method, the level of usability for end-users is deemed quite sufficient. © 2022 IEEE.
ABSTRACT
Currently, the entire planet is terrified of a virus known as COVID-19 (coronavirus). Its effects are so deadly that the whole world has been placed on lockdown. Vaccines for this virus are being developed by scientists and physicians all over the world. Machine learning, the Internet of Things (IoT), and artificial intelligence all play a role in detecting people who have been affected by coronavirus. We have also operated in this direction and developed a system called "Health Detection System for COVID-19 Patients using IoT" which can identify coronavirus-infected people and create a database for easy monitoring. Our system named as "Health Detection System for COVID-19 Patients using IoT" can detect corona by measuring the temperature and oxygen level of the patient. The system will detect the temperature of person with the help of DHT sensor and the oxygen level with the help of MAX30100, which are interfaced with NodeMCU. Data will be uploaded on ThingSpeak server (cloud) through which it can be monitored. The system is quite simple and very effective, especially at the hospital (ICU) where doctors can monitor patient from a distant place. Complete system cost around Rs 1,000/- (Rupees One Thousand Only). © 2022 Scrivener Publishing LLC.
ABSTRACT
COVID-19 has been one of the most disastrous pandemics of the decade which has impacted several human lives and global economy. It is really difficult to control this kind of problem in a developing country like India where we have huge population. It is also difficult to maintain social distancing in such places. So, we have come up with an idea for the people to self-monitor and protect themselves from the spread of the virus. This paper aims to implement a smart mask which uses digital technology, for detection, prevention and precaution from this deadly virus. This virus is bound to spread in the event of interaction with other people, and we use technology to detect and prevent the virus by forming a personalized mask, which is capable of monitoring your vitals and indicating if the patient is infected by the virus. We are integrating the heart rate pulse sensor, infrared thermometer—MLX90614, respiratory sensor and Dht11 sensor which are used to monitor the inner temperature and humidity present inside the mask. This sensor is mounted on the mask which helps us to monitor the person who is wearing it 24/7. The overall equipment is less bulky with all the required features, rechargeable and replaceable filter. The vitals are monitored through personalized cloud using ThinkSpeak and mobile-based monitoring with alert system. The mask has an OLED display for real-time monitoring. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
In Yangtze River Delta white goat, hypermethylation of CMTM3 leads to a decreased expression level in high quality brush hair. However, the regulation of CMTM3 expression and its function in hair follicle stem cells (HFSCs) remains largely unknown. In this study, we investigated the regulation of CMTM3 expression, function, and molecular mechanism in HFSCs. The re-expression of CMTM3 significantly suppressed the proliferation of HFSCs by inducing G1 cell cycle arrest and promoting apoptosis. Moreover, the downregulation of CMTM3 promoted HFSC proliferation. Treatment with sh_CMTM3 and incubation in a DHT culture medium had the most significant growth-promoting effect. It was hypothesized that transcriptome analysis using RNA sequencing (RNA-seq) in samples would enable the identification of unique protein-coding and non-coding genes that may help uncover the role of CMTM3. Multiple genes and pathways were involved in this process, including 168 common DEGs, such as CXCL8 and E-selectin, which is reportedly involved in multiple regulatory pathways. These results indicated that CMTM3 can function as HFSCs through the induction of a G1 cell cycle arrest and promoted apoptosis by mediating crosstalk between several pathways and transcription factors. Our data is available in the National Center for Biotechnology Information (NCBI) database with the accession number PRJNA657430.