Jie Wu

Discrete Gauss linking integral representations of correlation trajectories for market stress diagnosis

Yan Fu, Jie Wu, Fengchun Lei

Green Technology Transfer and Energy-Related Operational Port Carbon Emissions: Evidence from Listed Port Companies in China

Can Liu, Min Zhao, Xiang Yan, Jie Wu

Against the background of resource constraints and the difficulty of independent green technology innovation, green technology transfer (GTT) provides an important pathway for listed port companies to reduce energy-related emissions from their operational activities and advance low-carbon transformation. Based on panel data …

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TaSC-LLM: A Large Language Model–Enabled Business Intelligence Framework for Topic Analytics in Live-Streaming E-Commerce Systems

Geng Peng, Xiaoxi Wang, R. L. Zhang, Ying Liu et autres

In live-streaming e-commerce systems, massive volumes of user-generated danmaku constitute a critical yet underutilized source of business intelligence. However, transforming such unstructured, noisy, and highly context-dependent textual data into structured and actionable knowledge remains a fundamental challenge for enterprise information systems. To …

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Calculating higher digraph homotopy groups

Stephen Theriault, Jie Wu, Shing‐Tung Yau, Mengmeng Zhang

Abstract We give the first tractable and systematic examples of nontrivial higher digraph homotopy groups. To do this, we define relative digraph homotopy groups and show that these satisfy a long exact sequence analogous to the relative homotopy groups of spaces. We …

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Magnetic reduction-to-the-pole (RTP) anomaly map of the Continental United States

Shida Sun, Jie Wu, Hui Li, Qingxin Meng

The total-field magnetic anomaly of continental US is collected from "Magnetic anomaly maps and data for North America (https://mrdata.usgs.gov/magnetic/)". The magnetic reduction-to-the-pole (RTP) anomaly is obtained using a large-area RTP method based on a sliding-window framework.

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Magnetic reduction-to-the-pole (RTP) anomaly map of the Continental United States

Shida Sun, Jie Wu, Hui Li, Qingxin Meng

The total-field magnetic anomaly of continental US is collected from "Magnetic anomaly maps and data for North America (https://mrdata.usgs.gov/magnetic/)". The magnetic reduction-to-the-pole (RTP) anomaly is obtained using a large-area RTP method based on a sliding-window framework.

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Nisin improves the storage quality of refrigerated pre-packaged fermented soybean whey-tofu—food safety, texture, and flavor

Jie Wu, Wen Zeng, Shucheng Liu, Hao Lan Chen et autres

Introduction: Fermented soybean whey-based tofu, a traditional and popular food product, faces significant spoilage issues during storage, including texture softening, elevated volatile basic nitrogen (TVB-N) levels, and accumulation of biogenic amines, which can compromise sensory attributes and pose health risks. Current preservation …

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Computing singular simplicial homologies of digraphs and quivers

Matthew Burfitt, Jie Wu, Stephen S.‐T. Yau, Shing-Tung Yau

The dynamics of large complex systems are predominately modeled through pairwise interactions, the principle underlying structure being a network of the form of a digraph or quiver. Significant success has been obtained in applying the homology of the directed flag complex to …

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Change Point Detection in Financial Market Using Topological Data Analysis

Jian Xi Yao, Jingyan Li, Jie Wu, Mengxi Yang et autres

Change points caused by extreme events in global economic markets have been widely studied in the literature. However, existing techniques to identify change points rely on subjective judgments and lack robust methodologies. The objective of this paper is to generalize a novel …

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Cohomotopy sets of (n−1)$(n-1)$‐connected (2n+2)$(2n+2)$‐manifolds for small n$n$

Pengcheng Li, Jianzhong Pan, Jie Wu

Abstract Let be a closed orientable ‐connected ‐manifold, . In this paper, we combine the Postnikov tower of spheres and the homotopy decomposition of the reduced suspension space to investigate the (integral) cohomotopy sets for , under the assumption that has 2‐torsion‐free …

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Topological Data Analysis and Topological Deep Learning Beyond Persistent Homology -- A Review

Zhe Su, Xiang Liu, Layal Bou Hamdan, Vasileios Maroulas et autres

Topological data analysis (TDA) is a rapidly evolving field in applied mathematics and data science that leverages tools from topology to uncover robust, shape-driven insights in complex datasets. The main workhorse is persistent homology, a technique rooted in algebraic topology. Paired with …

Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data

Qianqian Liang, Jie Wu, Guijuan Lu, Jun Hu

This study aimed to propose a probability-guaranteed spectrum method to enhance the reliability of seismic building designs, thereby addressing the inadequacy of the current code-specified response spectrum based on mean fortification levels. This study systematically evaluated the fitting performance of dynamic coefficient …

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