Ongoing and anticipated COVID-19 human challenge studies in the UK may advance our understanding of COVID-19 and facilitate the licensure of safe, effective, and easily deployable next-generation COVID-19 vaccines and boosters. We argue that international volunteer recruitment for COVID-19 human challenge trials can help promote diversity in these trials and ensure a sufficient number of eligible volunteers, both of which will increase the benefits of challenge research. We explore the ethical ramifications of dealing with unfair background conditions of global vaccine (...) injustice to expand medical research, and conclude that international recruitment for COVID-19 human challenge trials can be conducted ethically provided that several robust protections are in place for volunteers. (shrink)

Security and privacy are the major concerns in the internet of things (IoT) which are uncertain and unpredictable. Trust aware routing is one of the recent and effective strategies which ensure better resilience for IoT nodes from different security threats. Towards such concern, this paper proposes a new strategy called independent onlooker withstanding trust aware routing (IOWTAR) for IoT. IOWTAR introduced a new compound trust metric by combining three individual metrics namely independent trust, onlooker trust, and withstanding trust (a combination (...) of resilient trust and immovability trust). Independent trust and onlooker trust are assessed based on direct and indirect experiences of nodes about their neighbor nodes. Withstanding trust is assessed based on the stability and resilience of nodes towards dynamic topological changes and network failures respectively. Further, this work adapted the Firefly algorithm (FFA) to optimize the weights of individual trusts and establishes a secure path. Simulation experiments carried out over the proposed method had shown its superiority in terms of packet delivery ratio, delay, and throughput. The proposed method has gained an average improvement in the throughput is of 23.71%, 20.18%, 17.27%, and 2.88% from PSO, GSA, WOA, and CBBMOR-TSM-IOT methods respectively. (shrink)

Punjabi language is most widely spoken language of Pakistan (Abbas, Chohan, Ahmed, & Kaleem, 2016). Punjabi is under developed language because of which, upcoming generations are shifting to other technically and digitally developed languages such as Urdu and English. In result of which, the sound shift is being observed in Punjabi language. Sounds which used to be present in the past in Punjabi language are found missing now. This leads to a problematic situation that this sound shift may result (...) in language extinction and sound loss. This study is about the sound change and it has been studied in Punjabi language. On the basis of observation of speech in surrounding, researcher made a hypothesis that those speakers of Punjabi language who acquired Punjabi as L1 are able to produce few distinctive sounds that are not produced by the speakers who acquired Urdu as a mother tongue. For this purpose, a corpus of 2 million words was collected and the words including the sounds |n|ن and |l| ل were particularly shortlisted from the corpus. The speakers from both origins were asked to pronounce these words, the hypothesis was proved and, in result, variations in the pronunciation of sounds were observed. Sociolinguists and Phonologists need to heed on this issue to save Punjabi language from extinction. -/- . (shrink)