Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
Subclass-Aware Contrastive Semi-Supervised Learning for Inflammatory Bowel Disease Classification from Colonoscopy Images. [PDF]
Lin K +5 more
europepmc +1 more source
War of words? A contrastive linguistic study of the political speeches of Adolf Hitler, Martin Luther King Jr., George W. Bush Jr. and Barack Obama, employing the ‘Wave Method of political speech analysis’ [PDF]
Matthias Krug
openalex
Overview of molecular signatures of senescence and associated resources: pros and cons
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
Contrastive learning in both structure and function spaces improve drug-target interaction prediction. [PDF]
Zhang Y +7 more
europepmc +1 more source
Targeting TNBC: core–shell polycationic polyurea dendrimers with inherent anticancer activity
Core–shell polycationic PURE dendrimers were tested in TNBC‐derived tumor models. Both formulations selectively targeted TNBC and effectively reduced tumor volume. PUREG4‐OEI48 suppressed tumor growth without detectable toxicity, whereas PUREG4‐OCEI24, despite showing efficacy, induced hepatic toxicity.
Adriana Cruz +9 more
wiley +1 more source
Adaptive graph contrastive learning with hard negative mining for multimodal hyperspectral and LiDAR classification. [PDF]
Wu L, Wang H.
europepmc +1 more source

