Time series transformer for tourism demand forecasting. [PDF]
Yi S, Chen X, Tang C.
europepmc +1 more source
Demand forecasting of cold-chain logistics of aquatic products in China under the background of the Covid-19 post-epidemic era. [PDF]
Liu S, Chang L, Wang L.
europepmc +1 more source
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Enhancing peak demand forecasting with adaptive FastICA-transformer and entropy-based model customization. [PDF]
Saeed F, Aldera S, Alkhatib M.
europepmc +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Charging stations demand forecasting using LSTM based hybrid transformer model. [PDF]
Hussain A +3 more
europepmc +1 more source
Improved Giza pyramids construction algorithm for Modify the deep neural network-based method for energy demand forecasting. [PDF]
Wang X, Razmjooy S.
europepmc +1 more source
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Federated two-edge graph attention network with weighted global aggregation for electricity consumption demand forecasting. [PDF]
Yang M +6 more
europepmc +1 more source
Demand Forecasting Approaches for New Contraceptive Technologies: A Landscape Review and Recommendations for Alignment. [PDF]
LaCroix E +4 more
europepmc +1 more source

