Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set.This paper has been inspired with insufficient data-set learning algorithms, such as metric-based, prototype wrapin networks and meta-learning, and therefore we propose an insuff
ABSTRACT Emerging coronaviruses (CoVs) can cause severe diseases in humans and animals, and, as of yet, none of the currently available broad-spectrum drugs or vaccines can effectively control these diseases.Host antiviral proteins play an important role in inhibiting viral proliferation.One of the isoforms of cytoplasmic poly(A)-binding protein (P
The principle of transparency has become widely seen in view because of its practical importance in the commercial field.Transparency has also been adopted in the system of commercial arbitration within Subo Handles the framework of resolving disputes of a certain nature.Consequently, confidentiality has begun to take many changes and developments.
Highlights Education and training are identified as a key means of reducing carbon emissions from buildings to help address the climate emergency.Institutional, industry and organisational responses are shown to be failing in this regard.This editorial introduces the themes and individual papers in the special issue and then explores the current st
Abstract Introduction The COVID-19 pandemic unveiled huge challenges in health workforce governance in the context of public health emergencies in Africa.Several countries applied several measures to ensure access to qualified and skilled health workers to respond to the pandemic and provide essential health services.However, there has been limited