Corrigendum to "From prescription to pollution: The ecological consequences of NSAIDs in aquatic ecosystems" [Toxicol. Rep. 13 (2024) 101775].

[This corrects the article DOI: 10.1016/j.toxrep.

Exosome-mediated CRISPR/Cas delivery: A cutting-edge frontier in cancer gene therapy.

Cancer is considered the second most common disease globally. In the past few decades, many approaches have been proposed for cancer treatment. One among those is targeted therapy using CRISPR-Cas system which plays an irreplaceable role in translational research through gene editing.

Evaluation of the psychosocial impact and received care in patients with gestational trophoblastic disease - a qualitative interview based study.

The diagnosis gestational trophoblastic disease (GTD) is known to have a significant psychological impact on women. Our objective was to provide insight in the psychological and physical consequences of women with GTD, while also reflecting on their coping strategies and their experiences of received care. A qualitative study was carried out using semi-structured interviews among women recently diagnosed with GTD.

Improving the binding affinity of plastic degrading cutinase with polyethylene terephthalate (PET) and polyurethane (PU); an in-silico study.

Plastic pollution is a worrying problem, and its degradation is a laborious process. Although enzymatic plastic breakdown is a sustainable method, drawbacks such as numerous plastic kinds of waste make the degradation challenging. Therefore, a multi-plastic degrading (MPD) enzyme becomes necessary.

STIT-Net- A Wavelet based Convolutional Transformer Model for Motor Imagery EEG Signal Classification in the Sensorimotor Bands.

Motor Imagery (MI) electroencephalographic (EEG) signal classification is a pioneer research branch essential for mobility rehabilitation. This paper proposes an end-to-end hybrid deep network "Spatio Temporal Inception Transformer Network (STIT-Net)" model for MI classification. Discrete Wavelet Transform (DWT) is used to derive the alpha (8-13) Hz and beta (13-30) Hz EEG sub bands which are dominant during motor tasks to enhance the performance of the proposed work.