Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
When Silence Speaks: How BRCA1 Hypermethylation Fuels Sporadic Breast Cancers
Targeted promoter hypermethylation of BRCA1 uncovers how epigenetic silencing integrates transcriptional repression, hormonal adaptation, and immune modulation to reshape tumor identity.
Integrated morphometric and machine learning-based flood risk assessment in the Rangit river sub-watersheds, Eastern Himalayas
This study analyzed the Rangit River Basin's morphometry to assess flood risk. Six sub-watersheds (SW1-SW6) were prioritized via morphometric parameters. SW1, SW4, and SW5 are high priority. A Random Forest ML model (24 variables) created a flood risk map. The results aid flood mitigation efforts.
Real-time detection of Wi-Fi attacks using hybrid deep learning models on NodeMCU
Real-time defense against Wi-Fi Deauthentication attacks on the edge: Our hybrid deep learning model on NodeMCU achieves 96% accuracy in low-power IoT environments.
Climate change and human activities amplify runoff variability risks in lower reaches of large rivers
Ju Gao,Chunhui Li, Xiong Zhou et al. Communications Earth & Environment ,(2025) 6:794,https://doi.org/10.1038/s43247-025-02759-3
Overcoming Chemotherapy Resistance in Head and Neck Cancer using PI3K Inhibition
Head and neck squamous cell carcinoma (HNSCC) is almost uniformly fatal when it recurs following definitive treatment with chemoradiation. To address this critical therapeutic gap, our team investigated inhibition of the phosphoinositide 3-kinase (PI3K) pathway.
