Results 111 to 120 of about 183,000 (202)

The National Clinical Database Risk Calculator and the 5‐Item Modified Frailty Index Predict the Development of Postoperative Delirium After Surgery for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrates that combining the NCD Risk Calculator with the mFI‐5 enables more precise stratification of postoperative delirium risk in patients undergoing surgery for HCC. Patients classified as high risk by the combined model showed a markedly higher incidence of delirium than those in the intermediate‐ and low‐risk groups.
Kiyotaka Hosoda, Akira Shimizu, Koji Kubota, Tsuyoshi Notake, Hiroki Sakai, Kentaro Yoshikawa, Tomohiko Ikehara, Hikaru Hayashi, Koya Yasukawa, Yuji Soejima   +9 more
wiley   +1 more source

The application of channel attention mechanism for fusion of painting and live-action footage under deep learning and animation generation technology. [PDF]

Sci Rep
Zhu W, Zhou M.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

ICT in schools : the impact of government initiatives : secondary design and technology [PDF]

, 2004

core  

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Effects of transcutaneous auricular vagus nerve stimulation on perioperative anxiety in patients undergoing laparoscopic colorectal cancer surgery: a study protocol for a double-blind, prospective, single-centre, randomised controlled trial. [PDF]

BMJ Open
Zhou Y, Sang S, Yuan M, Zhu X, Wu M, Halisa P, Gu L, Zhang M.   +7 more
europepmc   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Mild traumatic brain injury in older adults, provocation evaluation: A pilot study. [PDF]

J Family Med Prim Care
Barrett CA, Goetting MG, Eigenauer CR, Hosmer EE, Loosle QJ, Tuttle RA, Danna-Dos-Santos A.   +6 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Informing robot design through early public engagement: lay perceptions of soft versus rigid socially assistive and rescue robots. [PDF]

Front Robot AI
Fenn J, Estadieu L, Gorki M, Monno I, Tauber F, Teichmann J, Levy-Tzedek S, Speck T, Müller O, Kiesel A.   +9 more
europepmc   +1 more source