Results 181 to 190 of about 415,112 (277)
Electrospun tubular scaffolds from novel PBCE‐based copolyesters and blends were designed as candidates for small‐diameter vascular grafts. They combine defect‐free architecture, blood‐compatible surfaces, and mechanical properties comparable to native vessels.
Edoardo Bondi +7 more
wiley +1 more source
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi +7 more
wiley +1 more source
A two‐phase workflow (OFAT screening followed by central composite design) maps how processing variables tune PFCE‐PLGA nanoparticle size, dispersity, surface charge, loading, and 19F‐MRI signal. In situ, time‐resolved synchrotron SAXS tracks albumin‐corona growth on intact dispersions and reveals PFCE‐dependent adsorption pathways.
Joice Maria Joseph +11 more
wiley +1 more source
Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure Prediction. [PDF]
Torrisi M, Kaleel M, Pollastri G.
europepmc +1 more source
The synthesis process of MM@PCD@QNPs and its potential mechanism for treating PCOS. (A) Assembly steps of MM@PCD@QNPs. (B) Synthesis and decomposition of MM@PCD@QNPs. (C) Potential therapeutic mechanisms of MM@PCD@QNPs for PCOS. PCD, PABP conjugated with DEX polymer; QUR, quercetin; CDI, N, N′‐carbonyldiimidazole; DEX, dextran; PABP, 4‐(hydroxymethyl ...
Wenzhu Li +9 more
wiley +1 more source
DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction. [PDF]
Guo Y, Li W, Wang B, Liu H, Zhou D.
europepmc +1 more source
Protein Secondary Structure Prediction Using Transformers
Predicting protein secondary structures such as alpha helices, beta sheets, and coils from amino acid sequences is essential for understanding protein function. This work presents a transformer-based model that applies attention mechanisms to protein sequence data to predict structural motifs. A sliding-window data augmentation technique is used on the
openaire +2 more sources
Aptamer‐Based Delivery Systems for VEGF and NGF Modulation in Ocular Therapies
Aptamer‐based delivery systems targeting NGF and VEGF hold significant potential for precise and sustained treatment of complex diseases affecting both the anterior and posterior segments of the eye. This review critically summarizes current strategies for NGF and VEGF delivery as well as VEGF sequestration, providing a clinical perspective on how ...
Nadine Best +5 more
wiley +1 more source
This study presents the first entirely isogenic heart‐on‐chip, unifying cardiomyocytes, fibroblasts, and endothelial cells from a single iPSC source. The platform reveals a critical biological insight: the endothelium actively shields cardiac tissue from drug‐induced toxicity, challenging the predictive accuracy of conventional, avascular models for ...
Karine Tadevosyan +12 more
wiley +1 more source
Protein Secondary Structure Prediction Based on Data Partition and Semi-Random Subspace Method. [PDF]
Ma Y, Liu Y, Cheng J.
europepmc +1 more source

