Results 131 to 140 of about 167,661,566 (258)
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Applying default probabilities in an exponential barrier structural model [PDF]
This paper shows that the use of a time-dependant barrier in a structural model improve its flexibility because it allows to incorporate, as input, the probability of default. The main result achieved is the assessment that the default barrier is, indeed,
Enrico Moretto, Arianna Agosto
core
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source
Implied Default Probabilities and Default Recovery Ratios: An Analysis of Argentine Eurobonds 2000-2002 [PDF]
This paper calculates implied recovery rates and implied default probabilities in a risk neutral setting for Argentine US-Dollar Eurobonds during the Argentine crisis from 2000 to 2002.
Jochen R. Andritzky
core
In microglia, STAT3 upregulates TAB2, which promotes NF‐κB activation through its NZF domain‐mediated recognition of K63‐linked ubiquitin chains, leading to inflammatory cytokine release and subsequent neuronal injury. Lumacaftor suppresses TAB2 expression and directly binds the TAB2‐NZF domain to interrupt K63 ubiquitin recognition, thereby blocking ...
Yanhao Zhao +12 more
wiley +1 more source
Delayed Default Dependency and Default Contagion [PDF]
Delayed, hence non-simultaneous, dependent defaults are discussed in a reduced form model. The model is a generalization of a multi-factor model based on simultaneous defaults to incorporate delayed defaults.
Balakrishna, B S
core
NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou +6 more
wiley +1 more source
Proposed model of CHST1‐associated immune remodeling in triple‐negative breast cancer. In CHST1‐low tumors, greater nuclear accumulation of NKRF is associated with repression of an NF‐κB‐related CCL20 transcriptional program and an immune‐inflamed microenvironment.
Shu‐Hao Jiang +6 more
wiley +1 more source
On Deficiencies and Possible Improvements of the Basel II Unexpected Loss Single-Factor Model [PDF]
The goal of the Basel II regulatory formula is to model the unexpected loss on a loan portfolio. The regulatory formula is based on an asymptotic portfolio unexpected default rate estimation that is multiplied by an estimate of the loss given default ...
Jiøí Witzany
core

