This article is an in-depth analysis of the challenges and solutions for the circular economy. This article relates to SDG 12, Responsible Consumption and production.
This study investigates three Mediterranean coastal lagoons to study harmful algae and pathogens on plastic debris.
Register today for the ninth RELX SDG Inspiration Day - a free, online event for thought leaders, corporate representatives, students, investors, government and NGOs to explore issues, gain practical insights and be inspired to take action in support of the UN Sustainable Development Goals.
This chapter aligns with Goal 14: Life Below Water and Goal 9: Industry, innovation and infrastructure by highlighting the biodiversity of marine biofilms in the context of marine infrastructure.
The article introduces a novel approach called PTM-SFFS that effectively combines pre-trained transformer models (PTMs) with traditional statistical classifiers and linguistic features for the task of gender screening on community question-answering (cQA) platforms.
This research presents an ontology-based approach to infer incomplete mobile vehicle trajectories, enhancing urban traffic analysis by transforming raw spatio-temporal data into semantic locations and leveraging knowledge-driven inference methods. The approach aims to improve the accuracy and interpretability of mobility pattern analysis in smart city applications.
In the context of applying machine learning to solve problems for risk prediction, disease detection, and treatment evaluation, EHR pose many challenges– they do not have a consistent, standardized format across institutions particularly in US, can contain human errors and introduce collection biases. In addition, some institutions or geographic regions do not have access to the technology or financial resources necessary to implement EHR, thus resulting in vulnerable and disadvantaged communities not being electronically visible.
A roadmap for health care leaders to execute intrinsic agency toward equity, supporting SDGs 3 and 10.
Digital health programs are urgently needed to accelerate the adoption of Artificial Intelligence and Clinical Decision Support Systems (AI-CDSS) in clinical settings. However, such programs are still lacking for undergraduate medical students, and new approaches are required to prepare them for the arrival of new and unknown technologies.
The study discusses the fundamental concepts of blockchain technology, including cryptography, hash functions, digital signatures, and Merkle trees. Providing an in-depth presentation of the mechanism for reaching consensus.
