Results 171 to 180 of about 469,078 (283)

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

Advanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar, Guillaume Lambard, Jessie Manopo, Ruili Guo, Kevin Septioga, Rizfi F. Pari, Toshinori Matsushima, Zhanglin Guo   +7 more
wiley   +1 more source

Scheduling allocation in 5G slicing networks utilizing weighted exponential and logarithmic functions to improve QoS. [PDF]

Sci Rep
Nong X, Liang X.
europepmc   +1 more source

A Rational Optimization Approach for the Development of a Multiplexed Lateral Flow Immunoassay: Detection of Nonepithelial Ovarian Cancer Markers in Human Serum

Advanced Science, EarlyView.
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed, Carl E. Eskildsen, Luca Panariello, André Shamsabadi, Christy J. Sadler, Edmund H. Wilkes, Federico Galvanin, Yuxi Cheng, Sara Carvalho, Srdjan Saso, Molly M. Stevens   +10 more
wiley   +1 more source

A Post-Quantum Secure RFID Authentication Protocol Based on NTRU Encryption Algorithm. [PDF]

Sensors (Basel)
Liu H, Wu H, Ge N, Dong Q.
europepmc   +1 more source

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair

Advanced Science, EarlyView.
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu, Nhu An Phan, Sy Trung Ngo, Minh Tri Phan, Thanh‐An Truong, Chi Cong Nguyen, Phuoc Thien Phan, Hoang‐Phuong Phan, Thanh Nho Do, Mai Thanh Thai   +9 more
wiley   +1 more source

5G High Density Demand Dataset in Liverpool City Region, UK. [PDF]

Sci Data
Maheshwari MK, Raschellà A, Mackay M, Eiza MH, Wetherall J, Laing J.   +5 more
europepmc   +1 more source

PEC‐DFM Hybrid‐Sensor Based on Nanoparticle‐Resolved Estimation for Sensitive and Reversible Glucose Monitoring

Advanced Science, EarlyView.
Abstract The accurate detection of glucose in wound exudate is critically important for monitoring chronic wound healing. While photoelectrochemical (PEC) sensors are widely used, they often suffer from material degradation caused by redox reactions during operation. Herein, we introduce a dark‐field microscopy (DFM) setup integrated with a PEC system,
Zihao Zhang, Junzheng Liu, Qinggong Wu, Yuan Zeng, Gang Xiao, Zhao Yue, Zhigang Zang, Shuang Zhao   +7 more
wiley   +1 more source

Digital health systems and inequities: exploring climate and environmental impacts. [PDF]

Oxf Open Digit Health
Hammond N, Benjamin P, Samuel G, Elkin J, Soron TR, Matanta RH, Obot A, Carrion C.   +7 more
europepmc   +1 more source

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

Advanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini, Claudia Alvarez‐Martin, Paula Angermair‐Barkai, Olivier Penacchio, Marc Paz, Matthew Pelowski, Dan Dediu, Antoni Rodriguez‐Fornells, Xim Cerda‐Company   +8 more
wiley   +1 more source

Research on the drilling pipe health monitoring and intelligent life prediction management platform. [PDF]

Sci Rep
Gao X, Wu X, Li Q, Wang L, Zhu Z, Qu F.
europepmc   +1 more source