Results 121 to 130 of about 5,303,939 (309)
Developed new and useful regression models are used to predict the power consumption. An experimental analysis of the quality and behavior of regression models in several methods of the operational forecasting of electricity consumption.
E. N. Nartikoeva +4 more
core +1 more source
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso +5 more
wiley +1 more source
Editorial: Offshore wind energy: Modeling and measurements
Xiaoli Guo Larsén +3 more
doaj +1 more source
Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba +5 more
wiley +1 more source
Large-scale distributed renewable energy connected to the rural distribution network has given birth to a new rural distribution system with a high proportion of new energy typical characteristics, and the optimal scheduling of the new rural distribution
Anjiang Liu +7 more
doaj +1 more source
Predicting Power Consumption Using Deep Learning with Stationary Wavelet
Power consumption in the home has grown in recent years as a consequence of the use of varied residential applications. On the other hand, many families are beginning to use renewable energy, such as energy production, energy storage devices, and ...
Faouzi Derbel +3 more
core +1 more source
Forecasting Electric Power Consumption Using Subspace Algorithms
A new approach for electric power consumption forecasting that consists of using subspace identification techniques is presented in the paper. The new and powerful subspace identification techniques are introduced to the members of the power system ...
Mossberg, Magnus,
core +1 more source
Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up
This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani +7 more
wiley +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay +2 more
wiley +1 more source

