Results 71 to 80 of about 217,698 (308)
In response to the strong multi-solution problem of conventional seismic exploration methods in geological sweet spot prediction of shale, this paper fully explored one-dimensional whole rock analysis data and well logging data, two-dimensional ...
WANG Changjiang +5 more
doaj +1 more source
Semi-tied Units for Efficient Gating in LSTM and Highway Networks
Gating is a key technique used for integrating information from multiple sources by long short-term memory (LSTM) models and has recently also been applied to other models such as the highway network.
Woodland, Philip, Zhang, Chao
core +1 more source
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
This paper presents a discrete-time sliding mode observer designed to estimate the rotor position of PMSMs for sensorless control strategies. Without compromising the sliding feature, this study employs a discretization method known as implicit Euler ...
Nehal Baiomy +2 more
doaj +1 more source
Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen +30 more
wiley +1 more source
Probability estimation plays a pivotal role across diverse domains, particularly in scenarios where the objective is to select non-repetitive units one at a time, with the option of replacement, from a predefined set of units.
Samarth Godara +5 more
doaj +1 more source
This paper proposes an improved neuroendocrine–proportional–integral–derivative controller for nonlinear multi-input–multi-output crane systems using a sigmoid-based secretion rate of the hormone regulation.
Mohd Riduwan Ghazali +3 more
doaj +1 more source
Thermoelectric temperature sensors are developed that directly measure heat changes during optical‐based neural stimulation with millisecond precision. The sensors reveal the temperature windows for safe reversible neural modulation: 1.4–4.5 °C enables reversible neural inhibition, while temperatures above 6.1 °C cause permanent thermal damage.
Junhee Lee +9 more
wiley +1 more source
Generating Cell Surface Nucleated Hydrogels with an Artificial Membrane‐Binding Transglutaminase
Cell‐based therapies require advanced strategies to enhance cell delivery and bioactivity. Cell membrane engineering offers an avenue to impart new functions to delivered cells to boost their viability and function. Here, an artificial membrane‐binding transglutaminase is generated and biophysically characterized.
Rosalia Cuahtecontzi Delint +6 more
wiley +1 more source
On the Determinants for a Class of Analytic Function Using Sigmoid Beta-Catas Operator
Geometric function theory (GFT) is the study of geometric properties of analytic functions. The cornerstone of GFT is the theory of univalent functions.
Olubunmi A. Fadipe-Joseph +3 more
doaj +1 more source

