Results 211 to 220 of about 169,771 (272)
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Temporal Interference Stimulation Enhances Neural Regeneration
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressotti +15 more
wiley +1 more source
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
We developed a series of quinoxalinoquinoxaline (QQ) photosensitizers featuring high and tunable excited‐state reduction potentials (E(PC•+/PC*) = –1.76 to –2.05 V vs. SCE). Their hydrogen‐bonding interaction with carbonyl substrates enables selective single‐electron transfer events for selective nitrilization of 1° amides, offering a tunable ...
Seongwoo Bae, Dongwook Kim, Jinwoo Kim
wiley +1 more source
The crystalline structure, the atomic numbers of the constituent elementsand the size of MOF crystals each influence their photoluminescence and scintillation properties in distinct ways. Together, these factors provide valuable guidelines for designing systems with optimized performance and tunable timing characteristics, arising from the synergistic ...
Francesca Cova +8 more
wiley +1 more source
This study aims to forecast the population of Pasuruan City using Single and Double Exponential Smoothing methods. Population forecasting is crucial for urban planning, economic development, and public services.
Pravisya, Raihan Ihza +1 more
core
A biohybrid nanorobot integrating lytic bacteriophage N4 with Pd nanozymes is developed for targeted eradication of multidrug‐resistant E. coli biofilms. Synergistic bacterial lysis and ROS‐mediated oxidation enable simultaneous biofilm removal and antibiotic resistance genes degradation, maintaining high efficacy in complex wastewater environments ...
Junzheng Zhang +9 more
wiley +1 more source
Inspired by Nostoc, a crack‐based one‐dimensional microspheres array (COMA) sensor is developed, which stabilizes crack geometry under isotropic expansion, enabling a predictable, monotonic thermal response from which true strain can be accurately extracted. The COMA sensor exhibits high sensitivity at ultralow deformation (gauge factor up to 89) and a
Wanqing Xu +7 more
wiley +1 more source
By engineering the molecular order and thickness of PDMS layers, we reconcile the stickiness and slipperiness during bubble transport. AFM measurements and MD simulations further reveal how these nanoscale architectures tune hydrophobic interaction FHB and friction force f.
Shishuang Zhang +7 more
wiley +1 more source

