This content aligns with Goal 3: Good Health and Goal 9: Industry, Innovation and Infrastructure by discussing the relation between memory, emotion, and mental health, as well as the impacts of technological innovations such as social media.
It is at the crossover of good health and wellbeing and innovation in industry. Depression is now a prevalent mental illness and multimodal data-based depression detection is an essential topic of research.
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.
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.
In 2023 the HPCC Systems Community Impact scholarship was announced as a part of an effort to support the Diversity & Inclusion focus areas at LexisNexis Risk Solutions. The HPCC Systems Community Impact Scholarship was launched in partnership with Scholarship America to provide two renewable $5,000 scholarships to female high school graduates from traditionally underrepresented backgrounds who plan to pursue a STEM (Science, Technology, Engineering and Math) undergraduate degree at an eligible college.
This article aligns with Sustainable Development Goal 9: Industry, Innovation, and Infrastructure. The research focuses on the green synthesis of nanoparticles using biological entities, such as microorganisms and plants, through nanobiotechnology processes. The use of these environmentally friendly methods has the potential to revolutionize biomedical applications, including cancer detection and treatment, as well as agricultural applications for crop improvement. Furthermore, green nanoparticles show promise in energy production and storage, offering cost-effective and sustainable solutions for future energy demands.
In this episode of the "World We Want" podcast, Márcia Balisciano interviews Filip Neele, Lead Scientist at TNO in Utrecht, the Netherlands. They discuss carbon capture and storage (CCS) technology as a “key” in energy transition and its role in supporting global sustainability.
This chapter advances the UN SDG goals 2 and 9 by highlighting the role AI can play in identifying crop improvement methods for sustainable agriculture.
This chapter advances the UN SDG goals 9 and 11 by highlighting the role AI tools can play in mitigating urban air pollution for improved urban air quality.

Pages