Results 131 to 140 of about 472,912 (287)
Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley +1 more source
Using Evolutionary Spectra to Forecast Time Series [PDF]
In this paper, an adaptive smoothing forecasting approach based on evolutionary spectra as developed by Rao and Shapiro (1970) is applied to the 3003 time series of various types and lengths used in the M3-Competition (Makridakis and Hibon, 2000 ...
Elizabeth Ann Maharaj
core
Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh +7 more
wiley +1 more source
Objective To evaluate real-world treatment patterns and clinical outcomes in recurrent/advanced endometrial cancer patients who progressed following prior systemic therapy in clinical practice in Europe.Design Endometrial Cancer Health Outcomes-Europe ...
Christian Marth +6 more
doaj +1 more source
Stochastic Entanglement of Deterministic Origami Tentacles For Robust Robotic Grasping
This study introduces an origami tentacle gripper to robustly grasp objects‐in air, underwater, and even in orbital space‐by exploiting a synergy between local, deterministic deformation programming and global, stochastic entanglements. A single origami tentacle can be designed to coil with a simple tendon pull.
Alec Boron +4 more
wiley +1 more source
Money Demand in theEuroArea: Do National Differences Matter? [PDF]
This paper assesses the relevance of national information in estimating the demand for euro-area M3 from three perspectives. First, we check whether national money demands can legitimately be aggregated.
Luca Dedola +2 more
core +2 more sources
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Artificial Intelligence (AI) is widely recognized as a force that will fundamentally transform traditional chicken farming models. It can reduce labor costs while ensuring welfare and at the same time increase output and quality.
Zhenlong Wu +3 more
doaj +1 more source
Scalable Crackle‐Lithography for Multifunctional Enclosed Plastic Nanofluidic Devices
Crackle‐lithography enables scalable fabrication of enclosed plastic‐substrate‐based nanofluidic devices with interconnected nanochannels that enable molecular transport, optical interrogation, confined electroless copper deposition, and ionic memristive behavior.
Tirumala Rao Dumpala +8 more
wiley +1 more source
The Role of Muscarinic Acetylcholine Receptor M3 in Cardiovascular Diseases
The muscarinic acetylcholine receptor M3 (M3-mAChR) is involved in various physiological and pathological processes. Owing to specific cardioprotective effects, M3-mAChR is an ideal diagnostic and therapeutic biomarker for cardiovascular diseases (CVDs).
Min Zhang +4 more
core +1 more source

