Results 91 to 100 of about 93,282 (261)
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita +4 more
wiley +1 more source
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li +13 more
wiley +1 more source
Accurate estimation of forest aboveground biomass (AGB) is crucial for research on terrestrial carbon cycling and global climate change. In this study, we introduce an improved approach for estimating forest AGB combining P-band and X-band ...
Yunmei Ma +6 more
doaj +1 more source
A design of double gradient effect is proposed to resolve the contradictory optimization on sensitivity and linearity of piezoresistive tactile sensors. The ultrawide linearity is realized by the sequential trigger of pressure‐induced gradient conductivity‐enabled linear current owing to the gradient microstructures.
Yao Fang +13 more
wiley +1 more source
Conventional single‐gradient freeze‐casting typically produces unidirectional porous architectures with limited transverse connectivity. The Sequential Hybridization by Infiltration and Freeze‐casting Technique (SHIFT) addresses this constraint by integrating secondary aligned structures within a preformed primary scaffold.
Kiho Sung, Sungchul Shin
wiley +1 more source
The assessment of forest structural parameters is crucial for understanding carbon storage, habitat suitability, and timber stock. However, the labor-intensive and expensive nature of field measurements, coupled with inadequate sample sizes for large ...
Ting Wang +14 more
doaj +1 more source
Optimization of Tecis Lidar Waveform Metrics for Forest Height Estimation
The Terrestrial Ecosystem Carbon Inventory Satellite (TECIS) is the first Chinese satellite in orbit equipped with both waveform LiDAR and multi-angle imaging capabilities, dedicated to forest carbon monitoring. It has collected a large volume of waveform data. To accurately estimate canopy height using waveform data, two critical steps are identifying
Xiaojun Liang +2 more
openaire +2 more sources
Recent Advances in Carbon Cathode Materials toward High‐Performing Zinc‐Ion Hybrid Supercapacitors
Aqueous zinc‐ion hybrid supercapacitors (ZHSCs) have emerged as promising next‐generation electrochemical energy‐storage devices. Porous carbon materials have been extensively studied as cathodes, with advances in tailoring pore structures and material properties to enhance performance.
Take Hirooka +3 more
wiley +1 more source
The inversion of forest height using the RVoG (Random Volume over Ground) model is susceptible to overestimation or underestimation due to three error sources, propagating inaccuracies to the estimated forest height. Furthermore, variations in the height
Ao Sui, Wenyi Fan
doaj +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source

