Results 91 to 100 of about 188,814 (295)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Frontiers in Sustainable Resource ManagementThis study explores the divergent pathways toward formalizing informal settlements in South Africa, highlighting the tensions between state-led urban modernization and community-driven adaptation.
Robert Mutemi Kajiita +1 more
doaj +1 more source
Journal of Pure and Applied Algebra, 2008 The notion of a formally smooth bimodule is introduced and its basic properties are analyzed. In particular it is proven that a $B$-$A$ bimodule $M$ which is a generator left $B$-module is formally smooth if and only if the $M$-Hochschild dimension of $B$ is at most one. It is also shown that modules $M$ which are generators in the category $ [M]$ of $
ARDIZZONI, Alessandro +2 more
openaire +5 more sources
Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China
Advanced Science, EarlyView.This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang +3 more
wiley +1 more source
Formalization of Transform Methods using HOL Light
, 2017 Transform methods, like Laplace and Fourier, are frequently used for analyzing the dynamical behaviour of engineering and physical systems, based on their transfer function, and frequency response or the solutions of their corresponding differential ...
A Papoulis +39 more
core +1 more source
Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution
Advanced Science, EarlyView.Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley +1 more source
Logika chronologiczna i jej zastosowania w analizie niektórych rozumowań prawniczych [Chronological logic and its applications in the analysis of some legal reasoning] [PDF]
Analiza i Egzystencja, 2014 The article is devoted to chronological logic and its applications in the analysis of legal reasoning. In Part I of the paper, there is given that time plays an important role in statutory law, in language of the law and in legal language appear many ...
Anna Kozanecka-Dymek
doaj
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
Advanced Science, EarlyView.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
Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass
Remote Sensing, 2015 Accurate estimates of forest aboveground biomass (AGB) after anthropogenic disturbance could reduce uncertainties in the carbon budget of terrestrial ecosystems and provide critical information to policy makers.
Wenli Huang +4 more
doaj +1 more source
A Formalization of Robustness for Deep Neural Networks
, 2019 Deep neural networks have been shown to lack robustness to small input perturbations. The process of generating the perturbations that expose the lack of robustness of neural networks is known as adversarial input generation.
Dreossi, Tommaso +3 more
core