TopoSleuth, a decoy-based multi-layered defense framework for securing SDN topology discovery. [PDF]
Shoaib M +4 more
europepmc +1 more source
Pro‐ATO/Allicin Liposomes for Dual‐Pathway Targeting of p53‐Mutant Tumors
Schematic illustration of the “pro‐ATO”/allicin liposomal strategy. Liposomal encapsulation improves the stability and bioavailability of both agents while masking allicin's odor. Upon release in the tumor microenvironment, ATO reactivates structural p53 mutants, and allicin inhibits ATR signaling while releasing H2S, collectively inducing synthetic ...
Xiaoling Xu +11 more
wiley +1 more source
MTF-NET: A mixed traffic flow multi-target detection network based on full-field perception and adaptive optimization. [PDF]
Li S +5 more
europepmc +1 more source
Fibronectin regulates the extracellular matrix (ECM)–myofibroblast cycle through three key steps: (1) its secretion and assembly by myofibroblasts (inhibited by pUR4); (2) collagen deposition along its scaffold (inhibited by R1R2); and (3) integrin α5β1‐mediated mechanotransduction (inhibited by ATN161).
Wenlong Ma +10 more
wiley +1 more source
Anomaly detection of cybersecurity behavior using cross-sequence aligned transformer-A dynamic recognition approach for high-frequency interaction patterns. [PDF]
Han S, Bin D, Ling Y, Lin C.
europepmc +1 more source
Cellular Identity Crisis: RD3 Loss Fuels Plasticity and Immune Silence in Progressive Neuroblastoma
Researchers discovered that therapy‐induced loss of RD3 protein in neuroblastoma triggers a dangerous shift: cancer cells become more stem‐like, invasive, and resistant to treatment while evading immune detection. RD3 loss suppresses antigen presentation and boosts immune checkpoints, creating an immune‐silent environment.
Poorvi Subramanian +7 more
wiley +1 more source
An efficient three-tier defense mechanism for mitigation of DDoS attack with port connection analysis in SDN. [PDF]
Rajper A +5 more
europepmc +1 more source
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source

