C. Zhou
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MUC1 drives ferroptosis resistance in ICC via Src‐mediated FSP1 deubiquitination and myristoylation Open
Background Intrahepatic cholangiocarcinoma (ICC) exhibits poor prognosis and limited therapeutic options. Ferroptosis represents a promising therapeutic strategy, yet resistance mechanisms remain poorly understood. This study investigated …
View article: A Survey of Context Engineering for Large Language Models
A Survey of Context Engineering for Large Language Models Open
The performance of Large Language Models (LLMs) is fundamentally determined by the contextual information provided during inference. This survey introduces Context Engineering, a formal discipline that transcends simple prompt design to en…
View article: Probing and knocking with muons
Probing and knocking with muons Open
In this paper, we propose here a set of new methods involving probing and knocking with muons (PKMu). There is a wealth of rich physics to explore with GeV muon beams. Examples include but not limited to: muon scattering can occur at large…
View article: Feasibility study of the GeV-energy muon source based on the High Intensity Heavy-Ion Accelerator Facility
Feasibility study of the GeV-energy muon source based on the High Intensity Heavy-Ion Accelerator Facility Open
Generating a monoenergetic, high-energy muon beam using accelerator facilities can be very attractive for many purposes, for example, improving muon tomography currently limited by the low flux and wide energy spread of cosmic ray muons, a…
Lignature: A Comprehensive Database of Ligand Signatures to Predict Cell-Cell Communication Open
Ligand-receptor interactions mediate intercellular communication, inducing transcriptional changes that regulate physiological and pathological processes. Ligand-induced transcriptomic signatures can be used to predict active ligands; howe…
View article: Testing spooky action between free-traveling electron-positron pairs
Testing spooky action between free-traveling electron-positron pairs Open
Quantum entanglement is a cornerstone of quantum mechanics. While the entanglement of confined electron pairs has been established early on, the entanglement of free-traveling electron pairs, particularly at high energies, remains largely …
View article: A Patent Infringement Analysis Approach Based on Patent Knowledge Graph Driven Fusion of Graph and Image Similarity
A Patent Infringement Analysis Approach Based on Patent Knowledge Graph Driven Fusion of Graph and Image Similarity Open
Patent infringement analysis (PIA) represents a critical task in patent circumvention design. It aims to identify the likelihood of infringement for target technologies to enhance product innovation, serving as a crucial measure for techni…
Distribution network reconfiguration optimization based on genetic algorithm and its influence on operation and maintenance management Open
As one of the advanced application functions of distribution network automation, distribution network reconfiguration is an important optimization means to ensure the normal operation of the power grid. In order to further improve the powe…
View article: Quantum Frontiers in High Energy Physics
Quantum Frontiers in High Energy Physics Open
Numerous challenges persist in High Energy Physics (HEP), the addressing of which requires advancements in detection technology, computational methods, data analysis frameworks, and phenomenological designs. We provide a concise yet compre…
View article: One-to-one correspondence reconstruction at the electron-positron Higgs factory
One-to-one correspondence reconstruction at the electron-positron Higgs factory Open
We propose one-to-one correspondence reconstruction for electron-positron Higgs factories. For each visible particle, one-to-one correspondence aims to associate relevant detector hits with only one reconstructed particle and accurately id…
View article: Calibration-free heterodyne phase-sensitive dispersion spectroscopy: quantitative gas sensing and recovery of absorption spectra
Calibration-free heterodyne phase-sensitive dispersion spectroscopy: quantitative gas sensing and recovery of absorption spectra Open
Heterodyne phase-sensitive dispersion spectroscopy (HPSDS) is a quantitative non-intrusive gas sensing technique based on the determination of the refractive index of the target gas in the vicinity of an absorption transition. Since the ph…
Proposed Peking University muon experiment for muon tomography and dark matter search Open
A set of new methods are proposed here to directly detect light mass dark matter through its scattering with abundant atmospheric muons or accelerator beams. A first plan is to use the free cosmic-ray muons interacting with dark matter in …
View article: A Novel Quantum Realization of Jet Clustering in High-Energy Physics Experiments
A Novel Quantum Realization of Jet Clustering in High-Energy Physics Experiments Open
Exploring the application of quantum technologies to fundamental sciences holds the key to fostering innovation for both sides. In high-energy particle collisions, quarks and gluons are produced and immediately form collimated particle spr…
View article: Jet-Origin Identification and Its Application at an Electron-Positron Higgs Factory
Jet-Origin Identification and Its Application at an Electron-Positron Higgs Factory Open
To enhance the scientific discovery power of high-energy collider experiments, we propose and realize the concept of jet-origin identification that categorizes jets into five quark species (b,c,s,u,d), five antiquarks (b¯,c¯,s¯,u¯,d¯), and…
View article: A proposed PKU-Muon experiment for muon tomography and dark matter search
A proposed PKU-Muon experiment for muon tomography and dark matter search Open
We propose here a set of new methods to directly detect light mass dark matter through its scattering with abundant atmospheric muons or accelerator beams. Firstly, we plan to use the free cosmic-ray muons interacting with dark matter in a…
Higgs physics research: yesterday, today, and tomorrow Open
This article reviews the discovery of the Higgs boson, discusses the studies of its properties, and introduces the physical prospects of the future Higgs factories. The greatest goal of particle physics is to understand the fundamental par…
View article: Jet-Origin Identification and Its Application at an Electron-Positron Higgs Factory
Jet-Origin Identification and Its Application at an Electron-Positron Higgs Factory Open
To enhance the scientific discovery power of high-energy collider experiments, we propose and realize the concept of jet origin identification that categorizes jets into 5 quark species $(b,c,s,u,d)$, 5 anti-quarks $(\bar{b},\bar{c},\bar{s…
View article: ParticleNet and its application on CEPC Jet Flavor Tagging
ParticleNet and its application on CEPC Jet Flavor Tagging Open
Identification of quark flavor is essential for collider experiments in high-energy physics, relying on the flavor tagging algorithm. In this study, using a full simulation of the Circular Electron Positron Collider (CEPC), we investigated…
View article: Probing darK Matter Using free leptONs: PKMUON
Probing darK Matter Using free leptONs: PKMUON Open
We propose a new method to detect sub-GeV dark matter, through their scatterings from free leptons and the resulting kinematic shifts. Specially, such an experiment can detect dark matter interacting solely with muons. The experiment propo…
When regional traditional culture meets agricultural product brand packaging design Open
To create characteristic agricultural products, it is necessary to creatively integrate the brand packaging of agricultural products with regional traditional culture and aesthetics. At present, the packaging design of agricultural product…
Application of Quantum Machine Learning in a Higgs Physics Study at the CEPC Open
Machine learning has blossomed in recent decades and has become essential in many fields. It significantly solved some problems in particle physics -- particle reconstruction, event classification, etc. However, it is now time to break the…
Valley-dependent topological edge states in plasma photonic crystals Open
Plasma photonic crystals designed in this paper are composed of gas discharge tubes to control the flow of electromagnetic waves. The band structures calculated by the finite element method are consistent with the experimental results whic…
View article: Application of Quantum Machine Learning to HEP Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware
Application of Quantum Machine Learning to HEP Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware Open
Machine learning enjoys widespread success in High Energy Physics (HEP) analyses at LHC. However the ambitious HL-LHC program will require much more computing resources in the next two decades. Quantum computing may offer speed-up for HEP …
A new proof of Huber's theorem on differential geometry in the large Open
In this paper we give a new, and shorter, proof of Huber's theorem which affirms that for a connected open Riemann surface endowed with a complete conformal Riemannian metric, if the negative part of its Gaussian curvature has finite mass,…
View article: 208-µs single-shot multi-molecular sensing with spectrum-encoded dual-comb spectroscopy
208-µs single-shot multi-molecular sensing with spectrum-encoded dual-comb spectroscopy Open
Dual-comb spectroscopy (DCS) is a powerful spectroscopic technique, which is developing for the detection of transient species in reaction kinetics on a short time scale. Conventionally, the simultaneous determination of multiple species i…
View article: Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and hardware with 10 qubits
Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and hardware with 10 qubits Open
One of the major objectives of the experimental programs at the Large Hadron Collider (LHC) is the discovery of new physics. This requires the identification of rare signals in immense backgrounds. Using machine learning algorithms greatly…