Results 91 to 100 of about 30,162 (305)
Atomistic Understanding of 2D Monatomic Phase‐Change Material for Non‐Volatile Optical Applications
Antimony is a promising monatomic phase‐change material. Scaling down the film thickness is necessary to prolong the amorphous‐state lifetime, but it alters the optical properties. The combined computational and experimental study shows that, as thickness decreases, the extinction coefficient and optical contrast are reduced in the near‐infrared ...
Hanyi Zhang +10 more
wiley +1 more source
RvD5 effectively alleviates UC by inhibiting STAT1 signaling to reduce CXCL8 expression in colonic epithelial cells via activation of GPR101, which subsequently decreases the infiltration of neutrophils in the colonic mucosal epithelium. Epimedin A1, a natural allosteric inhibitor of 5‐LOX, demonstrates potential as a therapeutic agent for UC by ...
Pengxiang Guo +9 more
wiley +1 more source
Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed. [PDF]
Xian S, Chen K, Cheng Y.
europepmc +1 more source
Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He +10 more
wiley +1 more source
A New Approach of Fuzzy-Wavelet Method’s Implementation in Time Series Analysis
— Recently, many soft computing methods have been used and implemented in time series analysis. One of the methods is fuzzy hybrid model which has been designed and developed to improve the accuracy of time series prediction. Popoola has developed
Seng Hansun, Subanar Subanar
doaj +1 more source
Building fuzzy time series model from unsupervised learning technique and genetic algorithm. [PDF]
Phamtoan D, Vovan T.
europepmc +1 more source
Perbandingan Uji Akurasi Fuzzy Time Series Model Cheng Dan Lee Dalam Memprediksi Perkembangan Harga Cabai Rawit [PDF]
Dewi Ismiarti +3 more
openalex +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19. [PDF]
Kumar N, Susan S.
europepmc +1 more source
This study demonstrates meningeal lymphatic impairment associated with lung adenocarcinoma brain metastasis progression in both human patients and mouse models, establishes clinically applicable non‐invasive imaging biomarkers for quantitative analyzing mLV structure and function, and reveals mLVs as robust prognostic indicators and promising potential
Yuan Zhang +15 more
wiley +1 more source

