Results 151 to 160 of about 12,004,986 (327)
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit +43 more
wiley +1 more source
Unpacking locally led research and evaluation through the lens of collaborative autoethnography
Background: Evaluation in Africa and the Global South has been driven by external, often foreign, actors and focused on meeting donor funding needs, conducted through the lens of ‘others’ other than the affected populations.
Clement Sefa-Nyarko +6 more
doaj +1 more source
Precision Editing of NLRS Improves Effector Recognition for Enhanced Disease Resistance
Precision engineering of plant NLR immune receptors enables rational design of enhanced pathogen resistance through mismatched pairing, domain swapping, and targeted mutagenesis. These approaches achieve multi‐fold expansion in recognition breadth while minimizing autoimmunity risks and fitness penalties.
Vinit Kumar +7 more
wiley +1 more source
Monetary policy and learning in an open economy [PDF]
In this paper, we examine the incentives for central bank activism and caution in a two-country open-economy model with uncertainty and learning. We find that the presence of a strategic interaction between the home and foreign central banks creates an ...
Ellison, Martin +2 more
core
Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du +5 more
wiley +1 more source
Comment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”
This comment examines AI‐driven DNA‐based facial reconstruction, focusing on the Difface model. While such technologies promise biomedical and forensic applications, they pose significant ethical, legal, and methodological challenges. We emphasize transparency, benchmarking, and rigorous validation to avoid misinterpretation and misuse.
Jennifer K. Wagner +3 more
wiley +1 more source
Personalized Policy Learning using Longitudinal Mobile Health Data. [PDF]
Hu X, Qian M, Cheng B, Cheung YK.
europepmc +1 more source
Learning and optimal monetary policy [PDF]
To conduct policy efficiently, central banks must use available data to infer, or learn, the relevant structural relationships in the economy. However, because a central bank's policy affects economic outcomes, the chosen policy may help or hinder its ...
Federico Ravenna, Richard Dennis
core
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
wiley +1 more source
ABSTRACT Precise transgene‐free gene upregulation remains a challenge in crop biotechnology, as conventional enhancers often exceed CRISPR‐mediated knock‐in size constraints and face regulatory hurdles. Here we establish a foundational cross‐species resource of compact transcriptional enhancers developed via STEM‐seq, a high‐throughput screening ...
Qi Yao +14 more
wiley +1 more source

