Results 31 to 40 of about 37,425,541 (269)
Creating a digital twin in meteorological forecasting for a smart city on a mobile platform
The article discusses the application of the concept of a digital twin in the field of weather forecasting to create a smart city. A digital twin is a virtual replica of a real object or process that reflects its state in real time.
Doroshenko, A.Y., Haidukevych, V.O.
core
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Digital twin data: methods and key technologies [version 2; peer review: 4 approved]
As a promising technology to converge the traditional industry with the digital economy, digital twin (DT) is being investigated by researchers and practitioners across many different fields. The importance of data to DT cannot be overstated.
Ang Liu +6 more
doaj +1 more source
The digital twin concept has virtually exploded in recent years, as evidenced by the exponentially growing number of scientific articles making use of the concept. The concept originates from the manufacturing industry where the use of CAD models enables
Logg, Anders,, Naserentin, Vasilis,
core
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
UCl₃-based halide solid electrolytes have garnered increasing interest for application in all-solid-state batteries, yet their structural characteristics, chemical composition, and ion transport mechanisms remain under debate.
Pushun Lu +19 more
doaj +1 more source
Multimodal ultra-short-term probabilistic solar power forecasting with generative AI and Transformer
Solar power is one of the most widely adopted forms of renewable energy, with its usage rapidly increasing in recent years. However, solar power generation is highly sensitive to environmental factors, leading to frequent fluctuations. These fluctuations
Binyu Xiong +6 more
doaj +1 more source
Background: Online laboratories that provide online experimentation are crucial for education and research in all fields of engineering. As a transformative technology, the digital twin can be potentially applied into online laboratories to enable ...
Zhongcheng Lei +3 more
doaj +1 more source
Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
Kinetic parameters such as the turnover number (k cat) and Michaelis constant (K M) are essential for modelling enzymatic activity but experimental data remains limited in scale and diversity. Previous methods for predicting enzyme kinetics typically use
Saleh Alwer, Ronan M. T. Fleming
doaj +1 more source

