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Climate risks and stock market volatility spillover: new insights from wavelet and causality methods

ECONOMIC CHANGE AND RESTRUCTURING 2025年第3期58卷 1-32页

作者： Chen, Yufeng Shen, Simin wang, chuwen Capital Univ Econ & Business Coll Business Adm 121 Zhangjia Rd Beijing 100070 Peoples R China Zhejiang Normal Univ Sch Econ & Management Int Business Sch China African Trade Jinhua 321004 Peoples R China Zhejiang Normal Univ Sch Math Sci Jinhua 321004 Peoples R China

Underlining the unprecedented rise in climate risks recently, it is crucial to assess the influence of climate risks on the volatility of the stock markets to maintain financial stability. This paper employs wavelet methods and discrete wavelet-based Granger causality tests to comprehensively analyze the complex details of volatility spillovers between climate risks and stock markets from 2013 to 2024. Meanwhile, a time-varying Granger causality test is applied to detect volatility relationships during major events. The outcomes reveal a discernible connection between climate risks and stock market volatility, with physical climate risk demonstrating notable associations with both short-term and long-term volatility, particularly in energy stock markets. The primary source of short- to midterm stock market fluctuations is transition risk, significantly impacting energy and total stock markets. The causal relationships are further heightened during major events. Notably, this study underscores the critical importance of monitoring physical climate risk, an essential contributor to transition risk and stock market volatility, which is currently underestimated by the market. These findings aim to provide valuable insights for policymakers and investors, aiding in informed risk avoidance and decision-making within the framework of climate change scenarios. Moreover, it emphasizes constructing comprehensive climate risk monitoring frameworks and corresponding incentive climate policies to manage the multi-domain interconnects between climate risks and stock markets.

关键词： Climate change Climate risk Stock market volatility Wavelet Time-varying Granger causality test

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Lightweight target detection algorithm based on feature fusion

Lightweight target detection algorithm based on feature fusi...

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2024 International Conference on Mechatronic Engineering and Artificial Intelligence, MEAI 2024

作者： wang, chuwen Hu, Xiaoyang Cao, Zhaorui College of Equipment Engineering Shenyang Ligong University Liaoning Province Shenyang110159 China

ISBN: (纸本)9781510689176

A streamlined object detection approach is introduced, leveraging advanced feature fusion techniques to address the constraints of limited computational resources in unmanned aerial vehicles (UAVs). The proposed method integrates novel Feature-1 and Feature-2 modules to facilitate semantic feature fusion. By incorporating a pulse residual structure and a novel activation function, the overall model complexity and parameter count are significantly reduced. Empirical results demonstrate a 62.6% decrease in parameters and a 46.8% reduction in computational complexity compared to YOLOv7, and similar improvements over YOLOv9c. This advancement ensures efficient target recognition on low-power platforms, enhancing UAV detection speed and performance. © 2025 SPIE.

关键词： Drones

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Follow-up of long COVID based on the definition of WHO: a multi-centre cross-sectional questionnaire-based study

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BMC PUBLIC HEALTH 2025年第1期25卷 1-11页

作者： Yan, Danying Liu, Ying Chen, Ran Zhou, Lei wang, chuwen Ma, Ada Hoi Yan Chen, Xueqin Song, Qifa Qian, Guoqing Ningbo Univ Affiliated Hosp 1 Dept Infect Dis Ningbo Zhejiang Provin Peoples R China Ningbo Univ Sch Med Ningbo Zhejiang Provin Peoples R China Wenzhou Med Univ Grad Sch Wenzhou Zhejiang Provin Peoples R China Ximen & Wangchun Community Hosp Ningbo Zhejiang Provin Peoples R China Univ Nottingham Ningbo China Nottingham Univ Business Sch Ningbo Zhejiang Provin Peoples R China Ningbo Univ Affiliated Hosp 1 Dept Tradit Chinese Med Ningbo Zhejiang Provin Peoples R China Ningbo Univ Affiliated Hosp 1 Med Data Ctr Ningbo Zhejiang Provin Peoples R China

Background Since long COVID has hindered people from normal life, it is essential to understand its full spectrum of manifestation. However, it was heterogeneous in the existing studies and few large-scale studies have been conducted on Asian populations. Here, we conducted a multi-centre questionnaire-based study among Chinese people to explore the long COVID based on the definition of WHO. Methods During March 20, 2023 and June 18, 2023, individuals with a history of confirmed or self-reported SARS-CoV-2 infection were recruited from three hospitals to fill out the questionnaire for long COVID. Each symptom was assigned with 0 to 3 points based on their severity. And the long COVID score was a sum of these points of each symptom. The reporting rate, time trend and risk factors of long COVID stratified by different systems were explored. Results 3,693 individuals were recruited for the study. The reporting rate of at least one persistent long COVID symptoms and symptoms impacting daily life was 30.2% (1,117) and 10.7% (394). Systemic symptoms (20.7%, 765) were most easily reported. The most common symptoms were fatigue (16.3%, 602), cough (6.3%, 234) and expectoration (5.5%, 203). The reporting rate of long COVID and long COVID score decreased over time during a 180-day follow-up period (P < 0.05). For long COVID, older age (OR: 1.63, 1.38-1.93), female (OR: 1.19, 1.03-1.38) and SARS-CoV-2 reinfection (OR: 3.56, 2.63-4.80) were risk factors;while number of COVID-19 vaccine doses (OR: 0.87, 0.81-0.94) was a protective factor. The use of traditional Chinese medicine (OR: 0.51, 0.37-0.71) was a protective factor for symptoms impacting daily life. Conclusions Early interventions should be taken to minimize the impact of long COVID, especially for the elderly, females and those with SARS-CoV-2 reinfection. COVID-19 booster vaccination might play a potential role in minimizing the impact of long COVID.

关键词： Long COVID COVID-19 Post COVID-19 syndrome Survey

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CRISPR/Cas9技术(递送)在支气管上皮细胞中的应用和进展

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中国病理生理杂志 2025年第1期41卷 173-180页

作者：张莹莹王楚雯钱国清宁波大学医学部浙江宁波315211 宁波大学附属第一医院浙江宁波315211

规律成簇间隔短回文重复序列(CRISPR)/CRISPR相关蛋白9(Cas9)技术操作简易、高效,适用性强,在探究呼吸道潜在机制中具有独特优势。支气管上皮细胞是肺部防御的物理屏障,其损伤或功能缺失是慢性气道疾病的发病基础。近年来,慢性气道疾病... 详细信息

规律成簇间隔短回文重复序列(CRISPR)/CRISPR相关蛋白9(Cas9)技术操作简易、高效,适用性强,在探究呼吸道潜在机制中具有独特优势。支气管上皮细胞是肺部防御的物理屏障,其损伤或功能缺失是慢性气道疾病的发病基础。近年来,慢性气道疾病发病率升高,但治疗进展相对缓慢,亟需找到治疗的突破口。CRISPR/Cas9系统可以进行精准基因编辑,为慢性气道疾病提供新策略。本文从CRISPR/Cas9的多种递送方式和作用机制出发,对其在原代、永生化支气管上皮细胞和动物体内的应用与进展进行概述,探讨了其发展前景和面临的挑战,以期为未来应用该技术进行气道疾病治疗提供参考。

关键词： CRISPR/Cas9系统支气管上皮细胞基因编辑

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Advanced Digital Simulation for Financial Market Dynamics: A Case of Commodity Futures

arXiv

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arXiv 2025年

作者： wang, Cheng wang, chuwen Zeng, Shirong Jiang, Changjun School of Computer Science and Technology Tongji University China

After decades of evolution, the financial system has increasingly deviated from an idealized framework based on precise theorems. It necessitates accurate projections of complex market dynamics and human behavioral patterns. With the development of data science and machine intelligence, researchers are trying to digitalize and automate market prediction. However, existing methodologies struggle to represent the diversity of individuals and are regardless of the domino effects of interactions on market dynamics, leading to the poor performance facing abnormal market conditions where non-quantitative information dominates the market. To alleviate these disadvantages requires the introduction of knowledge about how non-quantitative information, like news and policy, affects market dynamics. This study investigates overcoming these challenges through rehearsing potential market trends based on the financial large language model agents whose behaviors are aligned with their cognition and analyses in markets. We propose a hierarchical knowledge architecture for financial large language model agents, integrating fine-tuned language models and specialized generators optimized for trading scenarios. For financial market, we develop an advanced interactive behavioral simulation system that enables users to configure agents and automate market simulations. In this work, we take commodity futures as an example to research the effectiveness of our methodologies. Our real-world case simulation succeeds in rehearsing abnormal market dynamics under geopolitical events and reaches an average accuracy of 3.4% across various points in time after the event on predicting futures price. Under normal market conditions, with corresponding news, our simulator also exhibits lower mean square error than series deep learning models and large language models in predicting three-day futures price of specific commodities. All experimental results demonstrate our method effectively leverages diver

关键词： Financial markets

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Performance of surface-functionalized structured polypropylene fillers for toluene removal in biotrickling filters

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Bioresource Technology 2025年 430卷 132580页

作者： wang, chuwen Liang, Wenjun Liu, Jia Yang, Jingsu Zheng, Jiamei Key Laboratory of Beijing on Regional Air Pollution Control Beijing University of Technology Beijing100124 China

Fillers significantly affect the efficient operation of biotrickling filters (BTFs). Herein, structured polypropylene fillers modified with polydopamine (PDA) and cationic polyacrylamide (CPAM) were developed to reduce pressure loss and shorten the start-up period. Based on thermodynamics and the extended Derjaguin–Landau–Verwey–Overbeek theory, both modified fillers could improve biocompatibility. BTF with CPAM-modified filler had a shorter start-up period than PDA-modified filler. The maximum elimination capacity of the BTFs packed with PDA and CPAM-modified filler was 75.52 g·m−3·h−1 and 78.62 g·m−3·h−1, respectively, at an inlet toluene loading rate of 97.26 g·m−3·h−1 and an empty bed residence time of 33 s. CPAM-modified filler biofilms exhibited higher adhesion strength and extracellular polymeric substance content during early operation. Furthermore, coating differences affected the microbial community structure on the filler surface. The CPAM-modified filler demonstrated superior performance by enriching toluene-degrading bacteria and upregulating key catabolic genes during the start-up stage. © 2025 Elsevier Ltd

关键词： Biopulping

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组织驻留记忆T细胞参与新型冠状病毒感染的研究进展

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中国病理生理杂志 2025年第2期41卷 362-368页

作者：石丹丹陈染叶金明王楚雯钱国清宁波大学医学部浙江宁波315211 温州医科大学研究生学院浙江温州325000 宁波大学附属第一医院浙江宁波315211

组织驻留记忆T细胞(TRM细胞),具有长寿命和非淋巴部位驻留特征的一类记忆T细胞,是参与二次感染防御的第一道防线,具有抗病毒免疫和降低病毒传播的作用。新型冠状病毒(SARS-CoV-2)持续变异和新冠后综合征可引发一系列临床症状,重者肺部... 详细信息

组织驻留记忆T细胞(TRM细胞),具有长寿命和非淋巴部位驻留特征的一类记忆T细胞,是参与二次感染防御的第一道防线,具有抗病毒免疫和降低病毒传播的作用。新型冠状病毒(SARS-CoV-2)持续变异和新冠后综合征可引发一系列临床症状,重者肺部纤维化影响长期生活质量,提高对SARS-CoV-2变异株的抵抗能力和降低新冠后综合征发生率是目前研究的焦点。TRM细胞与SARS-CoV-2感染发生和治疗紧密相关,但它们之间的病理生理机制仍待探索,此外研究该群细胞的形成途径和功能,对SARS-CoV-2疫苗设计具有十分重要意义。本综述讨论了TRM细胞的驻留性质、功能以及在SARS-CoV-2感染和新冠后综合征中的研究进展,以期提高SARS-CoV-2感染中对免疫过程的认识,探索新冠后综合征防治的新思路。

关键词：组织驻留记忆T细胞新型冠状病毒新冠后综合征免疫

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中性粒细胞胞外诱捕网在烟曲霉感染中的研究进展

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中国感染与化疗杂志 2025年第1期25卷 98-103页

作者：刘颖严丹莹叶金明王楚雯钱国清宁波大学医学部浙江宁波315000 宁波大学附属第一医院感染科宁波大学附属第一医院医学数据中心

曲霉属是自然界中广泛存在的一种空气真菌病原体,其中烟曲霉(Aspergillus fumigatus)是最常见的一种致病菌种,约占曲霉感染的90%以上。烟曲霉孢子体积较小(直径约2~3μm),可到达深部肺组织,若机体清除能力下降,孢子会定植在气道黏膜或... 详细信息

曲霉属是自然界中广泛存在的一种空气真菌病原体,其中烟曲霉(Aspergillus fumigatus)是最常见的一种致病菌种,约占曲霉感染的90%以上。烟曲霉孢子体积较小(直径约2~3μm),可到达深部肺组织,若机体清除能力下降,孢子会定植在气道黏膜或气道上皮表层,并在局部生长。烟曲霉感染主要累及肺部,感染后临床表现无特异性,主要表现为发热、咳嗽、咯痰、咯血、胸痛、呼吸困难等不典型症状,可引起侵袭性曲霉病(invasive aspergillosis,IA)、过敏性哮喘或慢性曲霉病等疾病。

关键词：中性粒细胞胞外诱捕网中性粒细胞烟曲霉真菌感染宿主免疫

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Time-Frequency Connectedness Between Oil Price Shocks and Stock Returns Under Bullish and Bearish Market States: Evidence from African Oil Importers and Exporters

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COMPUTATIONAL ECONOMICS 2024年 1-35页

作者： Chen, Yufeng Msofe, Zulkifr Abdallah wang, chuwen Chen, Minghui Zhejiang Normal Univ Sch Econ & Management Jinhua 321004 Peoples R China Zhejiang Gongshang Univ Sch Stat & Math Hangzhou 310018 Peoples R China Univ Dar es Salaam Dept Stat Dar Es Salaam 35047 Tanzania Zhejiang Normal Univ Sch Math & Sci Jinhua 321004 Peoples R China Zhejiang Normal Univ Coll Geog & Environm Sci Jinhua 321004 Peoples R China

Shocks in the international crude oil prices can significantly influence financial markets globally, particularly in oil-dependent economies. However, the sensitivity of immature African stock markets in net oil importing and exporting nations to different kinds of oil shocks has been ignored in extant literature. This paper investigates the connectedness and spillover between oil price shocks (demand, supply, and risk) and African stocks while jointly considering the market states, time horizons, and time-varying nature of the two markets. Employing Ready's technique and quantile time-frequency connectedness approach, the study reveals that oil demand, supply, and risk shocks exert varying spillover impacts on African stock returns with respect to market states and time scales. The overall connectedness under the bearish state in the long term is relatively higher compared to the bullish state. The net transmission effects from oil price shocks to African stock returns are exhibited in the long-term (above 5 days), not in the short-term (1-5 days). Oil exporters (Nigeria, Egypt, and Tunisia) are more vulnerable to oil price shocks than oil importers (except Tanzania). These results provide crucial implications for investors, policymakers, and other stakeholders to make well-informed decisions.

关键词： Crude oil shocks African stock returns Bearish Bullish Time-frequency

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ON L∞ ESTIMATES FOR MONGE-AMPÈRE AND HESSIAN ON NEF CLASSES

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ANALYSIS & PDE 2024年第2期17卷 749-756页

作者： Guo, Bin Phong, Duong H. Tong, Freid wang, chuwen Rutgers State Univ Dept Math & Comp Sci Newark NJ 08901 USA Columbia Univ Dept Math New York NY USA Harvard Univ Ctr Math Sci & Applicat Cambridge MA USA

The PDE approach developed earlier by the first three authors for L infinity estimates for fully nonlinear equations on K & auml;hler manifolds is shown to apply as well to Monge-Amp & egrave;re and Hessian equations on nef classes. In particular, one obtains a new proof of the estimates of Boucksom, Eyssidieux, Guedj and Zeriahi (2010) and Fu, Guo and Song (2020) for the Monge-Amp & egrave;re equation, together with their generalization to Hessian equations.

关键词： Monge-Ampere equations Hessian equations

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