This text is designed for a one-semester course at the sophomore to senior level. Some students will have already taken
a college-level biology course with coverage of organismal diversity, and they will benefit greatly. A small number may
even…
This open access book presents theoretical framework and sample applications of variant construction. The first part includes the components variant logic, variant measurements, and variant maps, while the second part covers sample applications such…
Populations in Africa are vulnerable to both the direct and indirect adverse effects of climate change that are of human rights significance. The urgency for states in Africa to implement climate interventions while they face developmental…
The book "Economic Sustainability of Culture and Cultural Tourism" focuses on the economic sustainability of cultural and cultural tourism projects, but it also takes into account other aspects. It consists of eleven articles, which address cultural…
Since prehistoric times, medicinal plants have been used in traditional medical practices
for curing diseases and benefiting human health. A huge array of phytochemicals have been
identified in medicinal plants, including carotenoids, phenolic…
This must-read book combines carefully selected contributions to form a collective scholarly critique of existing research with international students, focusing on key critical and conceptual considerations for research where international students…
This Element explains and documents state-level fiscal developments in American Southern states from 1820–1910. Using an original, archival data set of annual tax revenues, we show that the economic interests of rural elites played a critical role…
Dear colleagues, This Special Issue, “Endothelial Dysfunction: From Pathophysiology to Novel Therapeutic Approaches”, focuses on the pathophysiology of endothelial dysfunction, new biomarkers for endothelial dysfunction related to cardiovascular…
The reprint focuses on artificial intelligence-based learning approaches and their applications in remote sensing fields. The explosive development of machine learning, deep learning approaches and its wide applications in signal processing have been…