Results 171 to 180 of about 366,099 (287)

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen   +14 more
wiley   +1 more source

Medicinal plants used by local communities in southern Fars Province, Iran. [PDF]

open access: yesSci Rep
Ghafouri S   +4 more
europepmc   +1 more source

Structural Insights Into Aluminum‐Doped Manganese Dioxides as Promising Materials for Direct Lithium Extraction: Modeling and Mechanism Study

open access: yesAdvanced Materials Interfaces, EarlyView.
A two‐stage sorption mechanism is proposed for Al‐doped HMnO in direct lithium extraction. Batch sorption experiments and modeling identify two key sorption sites on Al‐HMnO: surface sites (planar and edge) and vacancy sites (W). At pH 12, Stage I involves surface ion exchange, followed by Stage II, where surface complexation occurs between Li⁺ ions ...
Shuxuan Yan   +6 more
wiley   +1 more source

Terahertz Metamaterial Sensors: Design Theory, Optimization Approach, and Advancements in Biosensing Applications

open access: yesAdvanced Materials Technologies, EarlyView.
This review provides an in‐depth overview of the design principles and optimization strategies for terahertz (THz) metamaterials (MMs) sensors based on the dielectric perturbation theory. Various structures and methods are explored to enhance sensor performance, focusing on improving sensitivity and Q‐factor.
Lei Cao   +9 more
wiley   +1 more source

A Portable and Low‐Cost Single Board Computer‐Based Spectrophotometric Platform for Optical Analysis in the UV and Visible Range

open access: yesAdvanced Sensor Research, EarlyView.
The increasing power of consumer electronics drives innovation in research. Here, a low‐cost (<€100), portable UV–vis spectrophotometric device is presented using Raspberry Pi and the AS7341 sensor. The system matches commercial spectrophotometers in performance and successfully analyzes wine samples and DNA oligonucleotides.
Alessandro Tonelli   +7 more
wiley   +1 more source

XGBMUT: Predicting the Functional Impact of Missense Mutations Using an Extreme Gradient Boost Classifier. [PDF]

open access: yesACS Omega
Pereira GRC   +6 more
europepmc   +1 more source

Enhancing biodiversity conservation and monitoring in protected areas through efficient data management. [PDF]

open access: yesEnviron Monit Assess, 2023
Urbano F   +5 more
europepmc   +1 more source

The Frequency‐Domain Lattice Boltzmann Method (FreqD‐LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples

open access: yesAdvanced Theory and Simulations, EarlyView.
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann   +5 more
wiley   +1 more source

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