Bridging Human and Plant Adaptations for Climate Resilience
Climate change is transforming agriculture through both gradual shifts and increasingly unpredictable extremes, challenging farmers' ability to protect crops and livelihoods. This study brings together farmer experiences and plant adaptation strategies to explore how people and plants respond to similar climate pressures.
Nicola Favretto +3 more
wiley +1 more source
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley +1 more source
MicroNet-MIMRF: a microbial network inference approach based on mutual information and Markov random fields. [PDF]
Feng C +8 more
europepmc +1 more source
Bivariate postprocessing of wind vectors
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Connecting Markov random fields and active contour models: application to gland segmentation and classification. [PDF]
Xu J, Monaco JP, Sparks R, Madabhushi A.
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
Enhancing gene regulatory network inference through data integration with markov random fields. [PDF]
Banf M, Rhee SY.
europepmc +1 more source
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command +8 more
wiley +1 more source
Efficient 3-D Reconstruction in Ultrasound Elastography via a Sparse Iteration Based on Markov Random Fields. [PDF]
Ingle A, Varghese T, Sethares WA.
europepmc +1 more source
Network analysis of functional genes among prokaryotes, and eukaryotes in natural and artificial rivers. Abstract Periphyton in aquatic ecosystems plays vital roles in the elemental cycle process and is vulnerable to anthropogenic interference. However, few studies have explored the elemental cycles of carbon (C), nitrogen (N), phosphorus (P), and ...
Yulu Tian +4 more
wiley +1 more source

