Morphological dynamics of thin liquid films formed by bubbles oscillating near a free surface: Experimental and numerical investigation.

Hypothesis: Bubbles oscillating near a free surface are common across numerous systems. Thin liquid films (TLFs) formed between an oscillating bubble and a free surface can exhibit distinct morphological features influenced by interfacial properties, evaporation, and deformation history. We hypothesize that a continuous film presence throughout oscillation results in a wimple morphology, whereas intermittent film presence leads to a dimple formation.

Advancements in Loop Cyclization Approaches for Enhanced Peptide Therapeutics for Targeting Protein-Protein Interactions.

Protein-protein interactions (PPIs) are pivotal in regulating cellular functions and life processes, making them promising therapeutic targets in modern medicine. Despite their potential, developing PPI inhibitors poses significant challenges due to their large and shallow interfaces that complicate ligand binding. This study focuses on mimicking peptide loops as a strategy for PPI inhibition, utilizing synthetic peptide loops for replicating critical binding regions.

Peptide-Based Biomaterials for Combatting Infections and Improving Drug Delivery.

This review explores the potential of peptide-based biomaterials to enhance biomedical applications through self-assembly, biological responsiveness, and selective targeting. Peptides are presented as versatile agents for antimicrobial activity and drug delivery, with recent approaches incorporating antimicrobial peptides into self-assembling systems to improve effectiveness and reduce resistance. The review also covers peptide-based nanocarriers for cancer drug delivery, highlighting their improved stability, targeted delivery, and reduced side effects.

Development and validation of the D-PACE scoring system to predict delayed high-grade conduction disturbances after transcatheter aortic valve implantation.

Background: New conduction disturbances are frequent after transcatheter aortic valve implantation (TAVI). Refining our ability to predict high-grade atrioventricular block (AVB) occurring later than 24 hours after the procedure would be useful in order to select patients eligible for early discharge.

Aims: This study was designed to identify predictors of high-grade AVB occurring between 24 hours and 30 days after TAVI and to develop and validate a predictive risk score.

MR_NET: A Method for Breast Cancer Detection and Localization from Histological Images Through Explainable Convolutional Neural Networks.

Breast cancer is the most prevalent cancer among women globally, making early and accurate detection essential for effective treatment and improved survival rates. This paper presents a method designed to detect and localize breast cancer using deep learning, specifically convolutional neural networks. The approach classifies histological images of breast tissue as either tumor-positive or tumor-negative.