Results 41 to 50 of about 63,611 (263)

B‐EPIC: A Transformer‐Based Language Model for Decoding B Cell Immunodominance Patterns

Advanced Science, EarlyView.
B‐Epic: Achieving high‐accuracy B cell epitope prediction through Transformer architecture. Comprehensive validation demonstrates B‐Epic's robust performance across diverse datasets. B‐Epic facilitates vaccine development for H. pylori and EBV, addressing critical public health challenges.
Jun‐Ze Liang, Youtao Wang, Cong Sun, Tao Liu, Zengfeng Wu, Lipeng Chen, Lina Chen, Penglin Li, Zhengkang Li, Cangui Zhang, Bingyun Lu, Ye Chen, Bing Gu, Qian Zhong, Xin Wei Wang, Mu‐Sheng Zeng, Jinping Liu   +16 more
wiley   +1 more source

Benefits of Open Quantum Systems for Quantum Machine Learning

Advanced Quantum Technologies, EarlyView., 2023
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio, Lucas Lamata, Jesús Casado‐Pascual   +2 more
wiley   +1 more source

Hybridization of a hidden Markov model using Elman neural network with application [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2014
This research aims to improve the performance of the work of hidden Markov model, which is limited to the positive integers as input, and through the use of Elman artificial neural network that have the ability to accept all types of data in the input ...
Omar Qasim
doaj   +1 more source

Enhanced Single‐Particle Upconversion Imaging via Energy Migration Boosting

Advanced Science, EarlyView.
A core‐shell‐shell Yb3⁺/Er3⁺ UCNP architecture is engineered to balance energy migration and back energy transfer, yielding more than a tenfold enhancement in single‐particle brightness. Leveraging these optimized probes, it achieves long‐term, high‐resolution single‐particle tracking in live neurons, uncovering coordinated transport mechanisms of ...
Yanxin Zhang, Rongrong Wen, Tianli Zhai, Wenrui Zhang, Fan Ding, Huan Ling, Yunxiang Zhang, Qian Liu   +7 more
wiley   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Real‐Time Visualisation of Reaction Kinetics and Dynamics: Single‐Molecule Insights into the Iminium‐Catalysed Diels–Alder Reaction

Angewandte Chemie, EarlyView.
Optical microscopy is commonly used to observe simple turn‐on/off phenomena in chemical reactions. A method is presented for the real‐time monitoring of diverse reaction pathways at the single‐molecule level using optical microscopy. This technique enables detailed kinetic and dynamic studies to be performed, providing new insights into catalyst design
Minsoo Park, Yongdeok Ahn, Juhyeong Cho, Juhee Jang, Wonhee J. Lee, Sangwon Seo, Sunggi Lee, Daeha Seo   +7 more
wiley   +2 more sources

Tuberculosis Surveillance Using a Hidden Markov Model [PDF]

Iranian Journal of Public Health, 2012
Background: Routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence.
A Rafei, E Pasha, R Jamshidi Orak
doaj   +1 more source

Disease surveillance using a hidden Markov model

BMC Medical Informatics and Decision Making, 2009
Background Routine surveillance of disease notification data can enable the early detection of localised disease outbreaks. Although hidden Markov models (HMMs) have been recognised as an appropriate method to model disease surveillance data, they have ...
Wright Graeme, Veenendaal Bert, Eagleson Serryn, Watkins Rochelle E, Plant Aileen J   +4 more
doaj   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source