Results 151 to 160 of about 334 (164)

Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam   +6 more
wiley   +1 more source

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

open access: yesAdvanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal   +2 more
wiley   +1 more source

Via‐Points Task Execution Based on Enhanced Dynamic Movement Primitives and Steering Force Fields

open access: yesAdvanced Intelligent Systems, EarlyView.
Enhanced dynamic movement primitives with steering force fields enable robotic arms to flexibly traverse static and dynamic via‐points while preserving demonstrated trajectory shapes. The method ensures stability, minimizes free‐space loss, and adapts to complex environments without additional learning, making it particularly suitable for industrial ...
Xumeng Cheng   +6 more
wiley   +1 more source

Hybrid Convolutional Neural Network‐Analytical Model for Prediction of Line Edge Roughness‐Induced Performance Variations in Fin‐Shaped Field‐Effect Transistor Devices and SRAM

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim   +4 more
wiley   +1 more source

Nonplanar Atomic Layer Deposition (ALD)‐Niobium Oxide (NbOx) Neurons for Oscillatory Neural Network Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a nonplanar niobium oxide (NbOx) neuron device fabricated using an atomic layer deposition (ALD) method for use in oscillatory neural networks (ONNs). Potentially, such nonplanar geometry allows for high‐density arrays. The desired threshold switching (TS) characteristics are achieved through an interfacial method using a thin ...
Jaehyun Moon   +6 more
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi   +3 more
wiley   +1 more source

Rüdin's Unpublished Family Study From the Early 1920s: “On the Inheritance of Manic‐Depressive Insanity”

open access: yesAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Ernst Rüdin, an important and controversial figure in the history of psychiatric genetics, published only one major empirical study on siblings of dementia praecox (DP) probands in 1916. He conducted a parallel study of siblings of probands with manic‐depressive insanity (MDI), but the resulting monograph, written in the early 1920s, was left ...
Kenneth S. Kendler, Astrid Klee
wiley   +1 more source

Characterization of di‐gital, tri‐gital, and tetra‐gital temporal movement of systolic blood pressure on the arterial pulse waveform of rats at different vascular stiffness

open access: yesAnimal Models and Experimental Medicine, EarlyView.
The example of the time dependent fluctuation of systolic pressure on rat arterial pulse waveform in ms. The four levels of the systolic pressure fluctuation show di‐gital, tri‐gital and tetra‐gital fluctuation. The red dots represent particular heartbeats. Abstract Background An arterial stiffness is an indicator of many cardiovascular diseases.
Anton Misak   +3 more
wiley   +1 more source

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