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With evident relevance to SDG 6, the research explores a water pollution control technology evaluation model based on the Pythagorean language neutrosophic set (PLNS) in the context of the pulp and paper industry. The authors' model aims to assist in the choice of appropriate water pollution control technology for those working within the paper industry. It is tested in an example based in China.
We’re passionate about helping students learn more about STEM, and through our academic program we give students the opportunity to collaborate on STEM-related projects involving innovative technologies like data analytics, robotics and AI. Since 2011, we have partnered with a number of universities to sponsor research projects, internships, robotics teams, scholarships, and other educational programs that provide students with access to hands-on learning and real-world engineering experience.
In the pursuit of improving engine performance and mitigating emissions, researchers have explored the intriguing domain of fuel blends incorporating butanol and gasoline. This innovative study aims to unravel the intricate dynamics between butanol and gasoline when utilized as a blended fuel in internal combustion engines. The current study integrates cutting-edge techniques such as Artificial Neural Networks (ANN) and Response Surface Methodology (RSM) for the optimization of engine performance.
The research questions explore the recent progress and technological advancements in Wireless Power Transfer (WPT), the reflection of global engagement within the WPT community through publication trends and geographical distribution, and the alignment of thematic clusters with SDG goals. Questions also investigate the contribution of AI to WPT, challenges and barriers to WPT adoption revealed by bibliometric analysis, ways WPT technology can democratize technology access in marginalized regions, and specific recommendations to ensure WPT technologies effectively accelerate progress towards achieving a broader set of SDGs.
The study forecasts AI-based innovation's impact on SDGs in 22 countries from 2022 to 2030 using System Dynamics Modeling. In most of the 22 countries studied, AI-based innovation positively affects SDGs 1, 3, and 5. For half of the countries studied, AI-based innovation positively influences SDGs 2, 4, 6–8, 11, 13, and 16–17. AI-based innovation does not positively influence SDGs 10, 12, 14–15 for most countries studied.
Elsevier, Research Policy, Volume 53, March 2024
World Intellectual Property Day 2024 is highlighting the critical importance of intellectual property (IP) in catalyzing the human innovation and creativity needed for achievement of the United Nations Sustainable Development Goals (SDGs). This study provides an overview of the key debates and the recent evidence on the societal role of Intellectual property rights (IPRs).
Large language models (LLMs) are positioned to become another destination for those seeking medical information. Consequently, the readability of these materials becomes an important factor in ensuring their effectiveness in promoting health literacy, given that the average American reads at the eighth-grade level. Supports SDGs 3 and 10.

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.
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.