Results 151 to 160 of about 793,369 (298)
Agribusiness, EarlyView.ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
Advanced Intelligent Discovery, EarlyView.A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Advanced Intelligent Discovery, EarlyView.Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Bubbles Acting as Micro End‐Effectors for Dexterous Manipulation and Sensing in Aqueous Environment
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Inspired by bubbles, this article proposes a low‐cost method for multifunctional manipulation and sensing using microbubbles in aqueous environments. Bubbles are easily generated in situ, enabling the safe and adaptive handling of microobjects and sensing of microforces and surface textures.
Zichen Xu, Qingsong Xu
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Soft robotic arms are promising for gentle grasping but often rely on bulky actuation systems. This work presents a computational design framework that optimizes tendon number and routing to achieve target grasps with fewer actuators. Validated on an octopus‐inspired underwater arm, the approach enables efficient, underactuated soft manipulators for ...
Michele Martini +6 more
wiley +1 more source
Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis
Advanced Intelligent Systems, EarlyView.A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang +3 more
wiley +1 more source
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.ABSTRACT Major depression and suicide are critical public health concerns, particularly in underrepresented populations with unique genetic and sociocultural contexts. The Maya‐mestizo population presents the highest suicide rates in the country but remains understudied in psychiatric genetics. This study evaluated the association between three genetic
Marta Menjivar +3 more
wiley +1 more source
Animal Models and Experimental Medicine, EarlyView.This schematic figure illustrates the experimental design and key findings of the study. Forty male C57BL/6 mice were assigned to either a standard diet control group or a cafeteria diet (CAFD) group for 16 weeks. CAFD induces obesity, insulin resistance (HOMA‐IR), hepatic steatosis, and dysregulation of a number of genes in visceral and subcutaneous ...
Guilherme Coutinho Kullmann Duarte +9 more
wiley +1 more source
Revista vol. 1 nº 2 - completo
EaD & Tecnologias Digitais na Educação, 2014 Revista EaD & Tecnologias Digitais na Educação
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Relapses, Comorbidities, and Predictors of Outcome in Anti‐GABAA Receptor Encephalitis
Annals of Neurology, EarlyView.Objectives To characterize the magnetic resonance imaging (MRI) lesion dynamics, comorbidities, predictors of relapse, and outcomes in anti‐γ‐aminobutyric acid type A receptor (GABAAR) encephalitis, and assess the utility of LIM‐domain‐only‐protein 5 (LMO5) antibodies as tumor markers.
Claudia Papi +33 more
wiley +1 more source