Results 261 to 270 of about 521,807 (336)

Bridging morpho-syntactic gap between source and target sentences for English-Korean statistical machine translation [PDF]

, 2009
Gumwon Hong, Seung-Wook Lee, Hae‐Chang Rim   +2 more
openalex   +1 more source

The Frequency‐Domain Lattice Boltzmann Method (FreqD‐LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples

Advanced Theory and Simulations, EarlyView.
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann, Paul Häusner, Arne Langhoff, Christian Leppin, Ilya Reviakine, Viktor Vanoppen   +5 more
wiley   +1 more source

Generative artificial intelligence: a historical perspective. [PDF]

Natl Sci Rev
He R, Cao J, Tan T.
europepmc   +1 more source

Excitation Energy Transfer between Porphyrin Dyes on a Clay Surface: A Study Employing Multifidelity Machine Learning

Advanced Theory and Simulations, EarlyView.
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu, Vivin Vinod, Matthias Holzenkamp, Yannick Marcel Holtkamp, Sayan Maity, Carlos R. Salazar, Ulrich Kleinekathöfer, Peter Zaspel   +7 more
wiley   +1 more source

Radiomics for Precision Diagnosis of FAI: How Close Are We to Clinical Translation? A Multi-Center Validation of a Single-Center Trained Model. [PDF]

J Clin Med
Montin E, Namireddy S, Ponniah HS, Logishetty K, Khodarahmi I, Glyn-Jones S, Lattanzi R.   +6 more
europepmc   +1 more source

Multivariate Screening and Automated Clustering of Macrophage Immunoreactome to Nanoparticles and Photothermal Therapy

Advanced Science, EarlyView.
Predicting immune responses to treatments, including nanomedicines, with high throughput test is challenging due to the immunoreactome's complexity and plasticity. A predictive screening platform integrating pathway activation and gene profiling in macrophages has been developed as a versatile tool for designing effective immunotherapies.
Sonia Becharef, Léa Jabbour, Nassima Bekaddour, Giulio Avveduto, Nathalie Luciani, Gautier Laurent, Rana Bazzi, Edouard Alphandery, Stéphane Roux, Amanda K. A. Silva, Kelly Aubertin, Jean‐Philippe Herbeuval, Florence Gazeau   +12 more
wiley   +1 more source

Identification of GJC1 as a novel diagnostic marker for papillary thyroid carcinoma using weighted gene co-expression network analysis and machine learning algorithm. [PDF]

Discov Oncol
Zhang J, Sun P.
europepmc   +1 more source

Self‐Adjusting Engineered Probiotic for Targeted Tumor Colonization and Local Therapeutics Delivery

Advanced Science, EarlyView.
Zou et al. developed an engineered strain of Escherichia coli Nissle 1917 with precise targeting abilities for colonization and on‐demand payload release. The engineered probiotic survives and embolizes tumors only in the presence of more than 5 mM L‐lactate. Furthermore, the introduction of an α‐hemolysin circuit enhances its anti‐tumor effect.
Zhen‐Ping Zou, Xin‐Ge Wang, Xuan‐Ren Shi, Shu‐Ting Sun, Jing Mi, Xiao‐Peng Zhang, Bin‐Cheng Yin, Ying Zhou, Bang‐Ce Ye   +8 more
wiley   +1 more source

Incorporating bilingual translation templates into neural machine translation. [PDF]

Sci Rep
Li F, Liu B, Yan H, Xie P, Li J, Zhang Z.   +5 more
europepmc   +1 more source

Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning

Advanced Science, EarlyView.
This study presents a non‐invasive machine learning model to identify infarct regions in the left ventricle using cardiac strain data. By combining rodent‐based simulated data with limited human data, the model achieves high accuracy in predicting infarct size and location without the need for gadolinium contrast agents, offering a promising ...
Rana Raza Mehdi, Nikhil Kadivar, Tanmay Mukherjee, Emilio A. Mendiola, Akila Bersali, Dipan J. Shah, George Karniadakis, Reza Avazmohammadi   +7 more
wiley   +1 more source