Results 41 to 50 of about 2,297 (264)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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
We study a tight-binding model on the honeycomb lattice of chiral d-wave superconductivity that breaks time-reversal symmetry. Because of its nontrivial sublattice structure, we show that it is possible to construct a gauge-invariant time-reversal-odd ...
P. M. R. Brydon +3 more
doaj +1 more source
Multi-ciphertext batch auditable decryption outsourcing SM9-HIBE key encapsulation mechanism
The decryption operation of SM9-HIBE key encapsulation mechanism required two bilinear pairing operations, for the equipment requiring frequent decryption of massive data and with limited computing resources, such resourcing-consuming pairing operation ...
Kuan LIU +4 more
doaj +2 more sources
MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong +9 more
wiley +1 more source
Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source
A Promenade through the New Cryptography of Bilinear Pairings [PDF]
This paper gives an introductory account of the origin, nature, and uses of bilinear pairings, arguably the newest and hottest toy in a cryptographer's toolbox. A handful of cryptosystems built on pairings are briefly surveyed, including a couple of realizations of the famously elusive identity-based encryption primitive.
openaire +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Web Metering Scheme Based on the Bilinear Pairings
Web metering is an effective means of measuring the number of visits from clients to Web servers during a specific time frame. Naor and Pinkas, in 1998, first introduced metering schemes to evaluate the popularity of Web servers. Ogata and Kurosawa proposed two schemes that improve on the Naor-Pinkas metering schemes. This study presents a Web metering
Narn-Yih Lee, Ming-Feng Lee
openaire +1 more source
ABSTRACT This study presents a multi‐method non‐invasive investigation of an approximately 4‐ha area associated with the long‐occupied coastal settlement of Rocavecchia (Apulia, southern Italy), situated between the prehistoric fortified peninsula and the Hellenistic‐Messapian walls.
Giuseppe Guarino +3 more
wiley +1 more source
Efficient method of constructing parameters in R-ate paring
In order to accelerate the computing of Tate paring, a new technique of selection method of parameters (A,B) based on R-ate technique had been proposed.
LI Bin, WANG Xin-mei
doaj +2 more sources

