Results 101 to 110 of about 63,915 (257)

Holomorphic anomalies, fourfolds and fluxes

Journal of High Energy Physics, 2022
We investigate holomorphic anomalies of partition functions underlying string compactifications on Calabi-Yau fourfolds with background fluxes. For elliptic fourfolds the partition functions have an alternative interpretation as elliptic genera of N = 1 ...
Seung-Joo Lee, Wolfgang Lerche, Guglielmo Lockhart, Timo Weigand   +3 more
doaj   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source

Blowup equations for refined topological strings

Journal of High Energy Physics, 2018
Göttsche-Nakajima-Yoshioka K-theoretic blowup equations characterize the Nekrasov partition function of five dimensional N = 1 $$ \mathcal{N}=1 $$ supersymmetric gauge theories compactified on a circle, which via geometric engineering correspond to the ...
Min-xin Huang, Kaiwen Sun, Xin Wang
doaj   +1 more source

Topological Defects in Gravitational Theories with Non Linear Lagrangians

, 1993
The gravitational field of monopoles, cosmic strings and domain walls is studied in the quadratic gravitational theory $R+\alpha R^2$ with $\alpha |R|\ll 1$, and is compared with the result in Einstein's theory.
A. Cohen, A. Economou, A. Jakubiec, A. Starobinsky, A. Tseytlin, A. Vilenkin, A. Vilenkin, A. Wang, B. Linet, B. Whitt, B. Zwiebach, C. Brans, C. O. Lousto, D. Harari, D. Harari, G. Magnano, G. W. Gibbons, H. Feldman, H. J. Schmidt, H. Weyl, I. S. Gradshteyn, J. Audretsch, J. Z. Simon, K. Maeda, K. S. Stelle, K. S. Stelle, L. Sokolowski, M. Barriola, M. Ferraris, M. Ferraris, N. D. Birrell, P. Teyssandier, R. Brandenberger, R. Gregory, R. Kerner, T. W. B. Kibble   +35 more
core   +1 more source

A DNA Tetrahedron Delivery Asiatic Acid to Reprogram Mitochondrial Metabolism for Promoting Bone Regeneration via STAT3 Phosphorylation

Advanced Science, EarlyView.
A hyaluronic acid methacrylate (HAMA) hydrogel incorporating DNA tetrahedrons loaded with Asiatic acid (TDN@AA) was developed. HM‐TDN@AA promotes angiogenesis of endothelial cells (ECs), inhibits osteoclastogenesis from bone marrow–derived macrophages (BMDMs), and enhances osteogenesis of mesenchymal stem cells (MSCs) via STAT3‐mediated mitochondrial ...
Yiwen Huang, Yiming Zhang, Yisheng Feng, Qixiang Yang, Beiyuan Gao, Haiyang Xu, Cheng Huang, Kaili Lin, Yuanzhi Xu, Peiqi Zhu   +9 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Topological aspects of string theories

Nuclear Physics B, 1987
In previous work, a new action principle for strings and superstrings in arbitrary dimensions was developed. It led to a classification of strings similar to the classification of point particles as massive, massless and tachyonic. Topological aspects of four-dimensional strings were also investigated.
A. P. BALACHANDRAN, LIZZI, FEDELE, R. D. SORKIN, G. SPARANO   +3 more
openaire   +3 more sources

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Some Aspects of Mathematical and Physical Approaches for Topological Quantum Computation [PDF]

Computer Science Journal of Moldova, 2011
A paradigm to build a quantum computer, based on topological invariants is highlighted. The identities in the ensemble of knots, links and braids originally discovered in relation to topological quantum field theory are shown: how they define Artin ...
V. Kantser
doaj  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source