Results 41 to 50 of about 11,164 (213)
Background This study adopted complete meteorological indicators, including eight items, to explore their impact on hand, foot, and mouth disease (HFMD) in Fuzhou, and predict the incidence of HFMD through the long short-term memory (LSTM) neural network
Hansong Zhu +10 more
doaj +1 more source
During creep of a single‐crystal Ni‐based superalloy, the overall crystal orientation is observed to remain constant while the microstructure evolves. Despite the lack of macroscopic rotation, small (<1°) rotations are observed on the submicron size scale and are accommodated by counteracting rotations over the scale of several micrometers.
E. J. Payton +3 more
wiley +1 more source
Machine Learning-Driven Demand Forecasting in the Automotive Supply Chain
Demand forecasting is a critical component and a major challenge within supply chain management. Accurate forecasts can help reduce costs, improve operational efficiency, and increase overall company performance.
Abdellah Bais, Khalid Amechnoue
doaj +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Tuning Redox Dynamics in Cu‐Based Electrocatalysts: Effect of Secondary Metals
Advanced analysis of operando X‐ray absorption spectroscopy data reveals that secondary metals affect the redox processes in Cu‐based catalysts for electrocatalytic CO2 reduction. This influences the amount of oxides formed under pulsed reaction conditions and the distribution of reaction products.
Martina Rüscher +17 more
wiley +1 more source
Discrepancies in custody transfer systems in the oil and gas industry pose significant financial, regulatory, and operational risks. Accurate prediction of these discrepancies is critical to optimizing operations and minimizing potential losses.
Fiki Hidayat +4 more
doaj +1 more source
Impact of Disorder on Microscopic Superconducting and Normal‐State Responses in a Kagome Metal
Using depth‐resolved, field‐ and pressure‐dependent μSR$\umu{\rm SR}$ measurements, we show that disorder in Ta‐doped KV3Sb5 drives a crossover from nodal to nodeless superconductivity while strongly modifying the normal‐state magnetic response. Our results reveal that disorder affects superconductivity and magnetism in fundamentally different ways ...
J. N. Graham +18 more
wiley +1 more source
In this work, diamonds with negative charged silicon‐vacancy (SiV−) centers have been designed for use as thermometers in biomedical applications. Multiparametric analysis of the emission characteristics of the SiV− centers provides extraordinary sensitivity for temperature detection in the physiological temperature range.
María Gragera +6 more
wiley +1 more source
Cost overruns are common on long-term construction projects. This is mostly because of inaccurate early estimates and unexpected changes in the economy and finances.
Majed Alzara +5 more
doaj +1 more source
A 3D Human Neuron‐on‐Chip Platform to Monitor Neuronal Injury Responses
This study presents a novel 3D Neuron‐on‐Chip model that can maintain human PSC‐derived excitatory prefrontal cortex neurons in 3D hydrogels and can be used to monitor neuronal injury responses over time. Results show injury‐induced acute neuronal excitotoxicity, declining neuronal connectivity, and the activation of a neurodegenerative, SASP‐like ...
Ruiping Tang +16 more
wiley +1 more source

