LCGC International salutes Jack Henion and Bob W.J. Pirok, winners of the 19th annual LCGC Lifetime Achievement and Emerging ...

In the current electrical construction market, contractors are under pressure to complete more work in less time with fewer resources. By integrating artificial intelligence (AI) and augmented reality ...

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

When it comes to developing highly effective marketing, WARC is the most trusted source of insight and inspiration for world leading brands, agencies, media owners and academic institutions. With our ...

Abstract: In cloud computing, deadline-constrained workflow scheduling, a typical NP-hard problem, plays a vital role in meeting users’ quality-of-service (QoS) and efficiently managing cloud ...

Bayesian End-motif Decomposition (BED) is a latent variable probabilistic framework designed to resolve "signal submergence" and cross-cohort instability (such as "direction flipping") in cfDNA ...

Introduction: The failure to translate promising preclinical stroke therapies into clinical success is largely attributed to a lack of rigorous, reproducible outcome measures. While magnetic resonance ...

Biohacking has gone mainstream: What began with fitness trackers and sleep apps now includes hardware implants, with 67% of Americans in a recent survey identifying… ...

1 Center for Research in Precision Medicine and Clinical Genomics, GENOMICS 360, Mexico City, Mexico 2 Universidad Contemporánea de las Américas, Morelia, Michoacán, Mexico Neurodegenerative diseases ...