Results 91 to 100 of about 620,891 (356)
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed+3 more
wiley +1 more source
Artificial intelligence, transparency, and public decision-making
The increasing use of Artificial Intelligence (AI) for making decisions in public affairs has sparked a lively debate on the benefits and potential harms of self-learning technologies, ranging from the hopes of fully informed and objectively taken ...
Karl de Fine Licht, Jenny de Fine Licht
semanticscholar +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Therapeutic benefit of the most expensive drugs covered by Medicare and Medicaid
Introduction: The United States began drug pricing negotiations in 2024 under the Inflation Reduction Act. Evaluating the therapeutic benefit of drugs will help guide pricing decisions and are an opportunity to improve healthcare affordability.Discussion:
Tiffany Enxia Jiang+3 more
doaj +1 more source
This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis+3 more
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Background Registration of clinical trials is critical for promoting transparency and integrity in medical research; however, trials must be registered in a prospective fashion to deter unaccounted protocol modifications or selection of alternate ...
Anand D. Gopal+6 more
doaj +1 more source
The share of technical thermoplastics is expected to grow further in the e‐mobility segment. In this study, a detailed temperature‐based tribological characterization of technical thermoplastics is performed. The tribological properties are discussed in terms of the dynamic mechanical properties of polymers at different ambient temperatures. A proof of
Harsha Raghuram+2 more
wiley +1 more source
Promoting gender equity in a home visits programme: a qualitative study in Northern Nigeria
Background Gender inequities remain critical determinants influencing maternal health. Harmful gender norms and gender-based violence adversely affect maternal health.
Loubna Belaid+7 more
doaj +1 more source