Abstract Since many lateral flow assays (LFA) are tested daily, the improvement in accuracy can greatly impact individual patient care and public health.However, current self-testing for COVID-19 detection suffers from low accuracy, mainly due to the LFA sensitivity and reading ambiguities.Here, we present deep learning-assisted smartphone-based LF
The Military Internet of Things (MIoT) has emerged as a new research area in military intelligence.The MIoT frequently has to constitute a federation-capable IoT environment when the military needs to interact with other institutions and organizations or carry out joint missions as part of a coalition such as in NATO.One of the main challenges of d
Despite decades of focus on crickets (family: Gryllidae) as a popular commodity and model organism, we still know very little about their immune responses to microbial pathogens.Previous studies have measured downstream immune effects (e.g., encapsulation response, circulating hemocytes) following an immune challenge in crickets, but almost none ha
Abstract This paper examines perceived hypocrisy when a failure is aligned with prior social performance.It is hypothesized that commitment to a CSR domain creates greater performance expectations thus exacerbating the effects when an CHEESE aligned failure occurs.Study 1 demonstrates that failure alignment and severity increase perceived hypocrisy