Results 141 to 150 of about 148,082 (308)

Locality constraints in AdS2 without parity

Journal of High Energy Physics
We study bulk locality constraints in quantum field theories in AdS2. The known derivation of locality sum rules in AdS d+1 does not apply for d = 1 due to the different singularity structure of the conformal blocks and the inequivalence of operator ...
Manuel Loparco, Grégoire Mathys, João Penedones, Jiaxin Qiao, Xiang Zhao   +4 more
doaj   +1 more source

Integrating Ecology and Economics in Agent‐Based Models to Support Agricultural Policy

Advanced Science, EarlyView.
Agent‐based models are valuable tools for studying social‐ecological systems in agriculture. This review maps how existing agent‐based models represent the human and natural domains of agriculture, and discusses developments in economic and ecological agent‐based modeling.
Daniel Vedder, Judith Josephin Rakowski, Lea‐Deborah Kolb, Greta Sophie Theilen‐Loges, Sebastian Lakner, Guy Pe'er   +5 more
wiley   +1 more source

Complexity and operator growth for quantum systems in dynamic equilibrium

Journal of High Energy Physics
Krylov complexity is a measure of operator growth in quantum systems, based on the number of orthogonal basis vectors needed to approximate the time evolution of an operator.
Cameron Beetar, Nitin Gupta, S. Shajidul Haque, Jeff Murugan, Hendrik J R Van Zyl   +4 more
doaj   +1 more source

BAP31 Drives Cartilage Calcification through Disruption of Autophagosome–Lysosome Fusion in Osteoarthritis

Advanced Science, EarlyView.
Mechanical stress activates BAP31 in chondrocytes. BAP31 competes with ATG14 for binding to STX17, disrupting the STX17–ATG14 complex required for autophagosome–lysosome fusion. The resultant autophagic flux blockade drives the generation of autophagy‐derived exosomes, which mediate pathological cartilage calcification in OA. Chondrocyte‐targeted BAP31
Zhi‐hua Xu, Ruo‐xin Wang, Feng He, Qian Liu, Fu‐yin Li, Min Hui, Yu‐qian Shi, Yu Jiang, Qing‐hua Li, Jun‐wen Jing, Shi‐bin Yu, Li‐tian Ma, Qian‐nan Niu, Mian Zhang   +13 more
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

A study of the SYK2 model with twisted boundary conditions

Journal of High Energy Physics
We study a version of the 2-body Sachdev-Ye-Kitaev (SYK2) model whose complex fermions exhibit twisted boundary conditions on the thermal circle. As we show, this is physically equivalent to coupling the fermions to a 1-dimensional external gauge field A(
Jeff Murugan, Ruach Pillay Slayen, Hendrik J. R. Van Zyl   +2 more
doaj   +1 more source

Pre‐Regenerative Endothelial Cells Empowered by Antler Blood Exosomes Orchestrate Peripheral Nerve Repair

Advanced Science, EarlyView.
The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang, Qiang Chen, Aihua Jin, Xiaoqi Yang, Hui Zhou, Weiquan Gong, Jin Cheng, Jun Dai, Minjin Wang, Meihua Piao, Yuanyi Wang, Nan Zhou   +11 more
wiley   +1 more source

Stochastic Krylov dynamics: revisiting operator growth in open quantum systems

Journal of High Energy Physics
In closed quantum systems, Krylov complexity admits a geometric description: operator growth is equivalent to Hamiltonian flow in an emergent phase space whose structure is fixed by the Lanczos coefficients.
Arpan Bhattacharyya, S. Shajidul Haque, Jeff Murugan, Mpho Tladi, Hendrik J. R. Van Zyl   +4 more
doaj   +1 more source

With strings [PDF]

Nature, 2011
openaire   +2 more sources

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