Phylo-Spec: a phylogeny-fusion deep learning model advances microbiome status identification. [PDF]
Zhang J +5 more
europepmc +1 more source
Exploring biofiber properties and their influence on biocomposite tensile properties
The study measured the physical, flow and chemical properties of 10 biofibers. It characterized the tensile properties of derived biocomposites and linked them using regression models, showing robust predictive performance. Abstract Biofibers serve as effective reinforcements for neat polylactic acid (PLA) in biocomposites, offering an attractive ...
Oluwafemi A. Oyedeji +5 more
wiley +1 more source
The Phylogenetic Structure of β -diversity: Covariance Matrix Sparsification of Critical Beta-splitting Trees. [PDF]
Svihla SP, Lladser ME.
europepmc +1 more source
Balancing tracks and trees: Assessing railroad impact on Brazilian biodiversity
The Brazilian West–East Integration Railway (FIOL) aims to boost the national economy by improving commodity transport; however, it crosses three of Brazil's most biodiverse and fragile regions: the Caatinga, Cerrado and Atlantic Forest. Using digitised plant records and land‐use analyses, our study reveals significant vegetation loss within the ...
Ana Luiza Silva Rocha +3 more
wiley +1 more source
Accelerating mesh-based Monte Carlo simulations using contemporary graphics ray-tracing hardware. [PDF]
Yan S, Dwyer D, Kaeli DR, Fang Q.
europepmc +1 more source
Control System for the Navigation of the Agricultural Robots: A Review
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
A Path-Planning Scheme for Autonomous Vehicle Navigation Integrating BJA* and Improved DWA Algorithms. [PDF]
Xin K, Zhou G, Lu H.
europepmc +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Bivalent virus-like particles expressing SPECT1 and CSP trigger pre-erythrocytic malaria immunity and protect against transgenic <i>Plasmodium falciparum</i> sporozoite challenge in mice. [PDF]
Turan G +7 more
europepmc +1 more source
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling +3 more
wiley +1 more source

