Results 151 to 160 of about 736,304 (285)

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
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, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

Assessing Credit with Equity: A CEV Model with Jump to Default [PDF]

Unlike in structural and reduced-form models, we use equity as a liquid and observable primitive to analytically value corporate bonds and credit default swaps. Restrictive assumptions on the firmâs capital structure are avoided.
Luciano Campi, Sbuelz, Simon Polbennikov
core  

Engineering Compact Base Editors by AlphaFold‐Guided Mutation Scan and Escherichia coli‐Based Tri‐Selection

Advanced Science, EarlyView.
A miniaturized deaminase SsdAtox was scanned with AlphaFold to identify DNA binding pocket hot spots. Site‐saturation mutagenesis at gatekeeper residue K31 yielded ten‐fold activity enhancement. Trinity Screen, an E. coli‐based three‐in‐one platform selecting for high activity and reduced double‐strand breaks, enabled combinatorial evolution at DNA ...
Ryeo Gang Son, Goeun Kim, Jungjoon K. Lee   +2 more
wiley   +1 more source

Forward-looking estimation of default probabilities with Italian data [PDF]

The solution adopted in Basel II to deal with procyclicality of capital requirements (i.e. through the cycle ratings and long-run average estimates of default probabilities) implies a reduction in the risk-sensitivity that contradicts the original spirit
Chiara Pederzoli, Costanza Torricelli, Giuseppe Marotta   +2 more
core  

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

Advanced Science, EarlyView.
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao, Lingyin Zhang, Bingzheng Wu, Haonan Chen, Junhao Sun, Linghao Yan, Wenfei Li, Yangyang Wu, Zhifang Wang, Qigang Zhong, Lifeng Chi   +10 more
wiley   +1 more source

Targeting IL27RA Enhances Immunotherapy in Triple‐Negative Breast Cancer by Modulating Tumor Cells and the Tumor Microenvironment

Advanced Science, EarlyView.
IL27RA upregulation drives immune evasion in TNBC by suppressing MHC‐I expression and reprogramming T/NK‐cell states, establishing an immune‐excluded tumor phenotype. Targeting this epithelial‐intrinsic IL27RA–PI3K/AKT axis offers a promising strategy to overcome immunotherapy resistance.
Jiachi Xu, Qian Long, Meirong Zhou, Qitong Chen, Jing Peng, Qingchun Liang, Danhua Zhang, Hui Zhou, Wenjun Yi   +8 more
wiley   +1 more source

An Empirical Analysis of the External Finance Premium of Public Non-Financial Corporations in Brazil [PDF]

Our objective in this paper is to analyze empirically the relationship between the external finance premium of non-financial corporations in Brazil with their default probability and with their demand for inventories.
Alberto Ronchi Neto, Fernando N. de Oliveira   +1 more
core  

Calcium Channel Blockers Inhibit Pancreatic Neuroendocrine Neoplasms Progression via Cav1.2‐Epigenetic Circuit

Advanced Science, EarlyView.
Our study reveals a novel mechanism of a positive regulatory circuit between Cav1.2 and H3K27ac for pancreatic neuroendocrine neoplasms (pNENs) progression. Cav1.2 is identified as a crucial target for promoting disease progression and correlates with malignant behaviors, which are remarkably inhibited by the administration of calcium channel blockers (
Yangyinhui Yu, Qiongcong Xu, Jinzhao Xie, Mingjian Ma, Xitai Huang, Yinhao Shi, Jiawei Zhou, Enliang Zhu, Ziyi Zhao, Ning Zhang, Zhide Liu, Jingyuan Ye, Xiaoyu Yin   +12 more
wiley   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source