This study investigates the factors that influence travelers' intentions toward animal ethics in tourism and makes a significant contribution to methodological approaches and the body of knowledge in animal ethics in tourism.
This chapter advances the UN SDG goals 9 and 11 by exploring the potential of AI tools to promote smart civil engineering.
The concept of a seawater hub signifies a substantial stride toward sustainable and environmentally conscious seawater desalination solutions. It holds the potential to transform seawater treatment and ensure a consistent freshwater supply for communities globally.
Ethiopia is a rainfall-based agricultural country that is susceptible to the impacts of climate change and risk.
This chapter aligns with Goals 9, 11, and 13 by focusing on the use of renewable and recyclable materials, as well as adoption of methods to reduce energy consumption and waste.
Recent scholarly endeavors in the domain of Cyber Intelligence have unveiled its multifaceted implications, intricately interwoven with various Sustainable Development Goals (SDGs), notably encompassing Goal 9 (Industry, Innovation, and Infrastructure), Goal 11 (Sustainable Cities and Communities), Goal 16 (Peace, Justice and Strong Institutions), among others.
How to reduce human-wildlife conflixt through education
Elsevier,
S.C. Onwubu, Z. Obiechefu, T.H. Mokhothu, Ajay Kumar Mishra, 17 - The environmental sustainability of biowaste in bioplastic production, Editor(s): Ajay Kumar Mishra, Chaudhery Mustansar Hussain, Bioplastics for Sustainability, Elsevier, 2024, Pages 407-428, ISBN 9780323951999
This chapter ties into Sustainable Development Goal 11: Sustainable cities and communities and Sustainable Development Goal 13: Climate action by discussing the environmental sustainability of biowaste in bioplastic production, including a life cycle assessment of bioplastic production from biowaste and a comparison of its environmental impact to conventional plastics.
Elsevier,
Measurement: Journal of the International Measurement Confederation, Volume 226, 28 February 2024
This paper seeks to contribute to pipeline leakage detection research through collecting and simulating leakage signals under different pressure strengths by combining experiments with numerical simulation. The findings point towards better detection in a real noise environment. Such research is vital in the context of increasing worldwide demand for water and insufficient water supply caused by pipeline leakage.
This chapter aligns with Goals 9, 11, 12 by emphasizing the responsible disposal of toxic building materials and providing guidance on selecting materials that have a positive effect on the health of occupants and the environment.
