Results 121 to 130 of about 63,915 (257)

Decoding temporal miRNA signatures of semen under in vitro exposure for forensic time since deposition estimation using machine learning‐driven modeling

Interdisciplinary Medicine, EarlyView.
This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai, Qiong Lan, Tong Xie, Qinglin Liu, Ming Zhao, Xiaolian Wu, Xin Shi, Ruonan Shen, Yiman Wu, Chen Mao, Bin Cong, Bofeng Zhu   +11 more
wiley   +1 more source

Artificial intelligence strategies for predicting kinase inhibitor resistance: A comprehensive review of methods, challenges, and future perspectives

Journal of Intelligent Medicine, EarlyView.
Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan, Mohanad Ali Deifallah, Alaa Zaghloul, Rania Elgohary   +3 more
wiley   +1 more source

Electromagnetic vacuum fluctuations around a cosmic string in de Sitter spacetime

European Physical Journal C: Particles and Fields, 2017
The electromagnetic field correlators are evaluated around a cosmic string in background of $$(D+1)$$ ( D + 1 ) -dimensional dS spacetime assuming that the field is prepared in the Bunch–Davies vacuum state.
A. A. Saharian, V. F. Manukyan, N. A. Saharyan   +2 more
doaj   +1 more source

Discovery of a Bloch point quadrupole constituting hybrid topological strings [PDF]

, 2023
Fehmi Sami Yasin, Jan Masell, Yoshio Takahashi, Tetsuya Akashi, Norio Baba, Kosuke Karube, Daisuke Shindo, T. Arima, Yasujiro Taguchi, Yoshinori Tokura, Toshiaki Tanigaki, Xiuzhen Yu   +11 more
openalex   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Quantum Theory of Strings in Abelian Higgs Model

, 1995
Starting from the Abelian Higgs field theory, we construct the theory of quantum Abrikosov--Nielsen--Olesen strings. It is shown that in four space -- time dimensions in the limit of infinitely thin strings, the conformal anomaly is absent, and the ...
A. K. Bukenov, A. Kovner, A. Liguori, A. M. Polyakov, A. M. Polyakov, A. M. Polyakov, A. M. Polyakov, D. Boyanovsky, D. Forster, E. C. Marino, E. T. Akhmedov, E. T. Akhmedov, F. A. Bais, G. 't Hooft, G. 't Hooft, G. W. Semenoff, H. Kleinert, J. Fröhlich, J. L. Gervais, J. M. Kosterlitz, J. Polchinski, J. Preskill, K. Bardakci, K. Lee, L. M. Krauss, M. A. Zubkov, M. G. Alford, M. G. Alford, M. I. Polikarpov, M. I. Polikarpov, M. I. Polikarpov, M. N. Chernodub, M. Sato, P. A. M. Dirac, P. Orland, T. Banks, T. R. Morris, V. L. Beresinskii   +37 more
core   +1 more source

Open string diagrams I: Topological type

Journal of Mathematical Physics, 1993
An arbitrary Feynman graph for string field theory interactions is analyzed and the homeomorphism type of the corresponding world sheet surface is completely determined even in the nonorientable cases. Algorithms are found to mechanically compute the topological characteristics of the resulting surface from the structure of the signed oriented graph ...
Nag, Subhashis, Sankaran, Parameswaran
openaire   +2 more sources

TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System

Materials Genome Engineering Advances, EarlyView.
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li   +5 more
wiley   +1 more source

Unveiling Hidden Features of Strongly Correlated Quantum Systems Through a Complex‐Network Analysis

Advanced Quantum Technologies, EarlyView.
By applying complex network theory, we report a fundamental and previously unobserved phenomenon in the finite‐size Kitaev model: a singular point at which uniform, nonzero entanglement emerges among all fermion pairs, forming a complete entanglement network.
Guillem Llodrà, Roberta Zambrini, Gian Luca Giorgi   +2 more
wiley   +1 more source

Large N instantons from topological strings

SciPost Physics
The $1/N$ expansion of matrix models is asymptotic, and it requires non-perturbative corrections due to large $N$ instantons. Explicit expressions for large $N$ instanton amplitudes are known in the case of Hermitian matrix models with one cut, but not ...
Marcos Mariño, Ramon Miravitllas
doaj   +1 more source