A two-stages global sensitivity analysis by using the δ sensitivity index in presence of correlated inputs: application on a tumor growth inhibition model based on the dynamic energy budget theory. [PDF]
J Pharmacokinet Pharmacodyn, 2023 De Carlo A +3 more
europepmc +1 more source
Advanced Electronic Materials, EarlyView.ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
Physiological performance of native and invasive crayfish species in a changing environment: insights from Dynamic Energy Budget models. [PDF]
Conserv Physiol, 2022 Marn N +4 more
europepmc +1 more source
Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations
Advanced Electronic Materials, EarlyView.This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka +5 more
wiley +1 more source
Microeconometric Models of Rationing, Imperfect Markets, and Non-Negativity Constraints [PDF]
This paper provides a theoretically consistent approach to estimating demand relationships in which kink points occur either in the interior or on the vertices of the budget set.
Lee, Lung-Fei, Pitt, Mark M.
core +1 more source
A Dynamic Energy Budget Approach for the Prediction of Development Times and Variability in Spodoptera frugiperda Rearing. [PDF]
Insects, 2021 Gergs A, Baden CU.
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Adipokinetic hormone (AKH), energy budget and their effect on feeding and gustatory processes of foraging honey bees. [PDF]
Sci Rep, 2021 de Brito Sanchez G +5 more
europepmc +1 more source
Toward Standardization in CO2 Electrolysis: A Round Robin Study
Advanced Energy Materials, EarlyView.CO2 electrolysis is a promising green technology for producing fuels and chemicals. To support its real‐world adoption, researchers conducted a collaborative study to identify sources of experimental variability. They found key differences in temperature and pressure control across labs and proposed a standardized testing protocol to improve ...
Dorottya Hursán +12 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Organic photoelectrochemical cells based on π‐conjugated semiconductors offer a versatile platform for solar fuel generation. This review outlines operating principles, device architectures, and key metrics, and highlights advances in p‐ and n‐type photoelectrodes, interfacial engineering, and catalyst integration.
Jaehyeong Kim +8 more
wiley +1 more source