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SSRN 2025年

作者： Wang, Ping Wang, Hanyu Long, Chunye Guan, Yan Wang, Yang Wu, Chengheng Wang, Pu Wang, Fuzhi Xie, He-Lou Key Lab of Environment-friendly Chemistry and Application in Ministry of Education Key Laboratory of Polymeric Materials and Application Technology of Hunan Province Key Laboratory of Advanced Functional Polymer Materials of Colleges Universities of Hunan Province College of Chemistry Xiangtan University Hunan Province Xiangtan411105 China Beijing National Laboratory for Molecular Sciences Key Laboratory of Polymer Chemistry and Physics of Ministry of Education Center for Soft Matter Science and Engineering College of Chemistry and Molecular Engineering Peking University Beijing100871 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of New Energy North China Electric Power University Beijing102206 China

Organic thermally activated delayed fluorescence (TADF) and room temperature phosphorescence (RTP) materials have merited enormous application prospects in organic optoelectronics. In spite of this, long-lived TADF and RTP dual emissions based on single polymers still face great challenge. In this work, we develop a monomer (CzBT) with twisted electron donating carbazole and electron withdrawing benzothiadiazole (D-A) structure and then copolymerize it with N-isopropylacrylamide (NIPAM) to achieve TADF and RTP dual-emission polymers (NP1-50~NP1-1000). They not only exhibit high efficiency (20%) and long-lived (268 ms) TADF emission, but also present red RTP emission with lifetime reaching 240 ms. Theoretical calculations confirm that the introduction of twisted D-A structure and heteroatoms can not only provide appropriate ΔEST (0.21 eV) between the singlet and triplet states to promote long-lived TADF, but also enhance spin orbital coupling for RTP emission. High performance active optical waveguide with quite low optical loss coefficient of 0.097 dB/mm was obtained for NP1-50 fiber. When applied to solution-processable organic light emitting diodes (OLED) devices, it yields excellent current efficiency of 62.7 cd/A with small efficiency roll-off and maximum luminance of 90858 cd/m2. This class of polymers pave the road for high efficiency optoelectronic devices. © 2025, The Authors. All rights reserved.

关键词： Fluorescence

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Ultrasensitive Electrochemical Sensor for Luteolin Based on Mofs-Derived Metal Oxide/Alloy-Doped Nitrogen-Containing Porous Carbon Composites

SSRN

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SSRN 2025年

作者： Li, Jiejun Wang, Liang Ge, Caiyu Zheng, Zuwen Wang, Yijing Zhao, Pengcheng Xie, Yixi Fei, Junjie Key Laboratory of Environmentally Friendly Chemistry and Applications Ministry of Education Xiangtan University Xiangtan411105 China Key Laboratory for Green Organic Synthesis and Application of Hunan Province Xiangtan University Xiangtan411105 China Hunan Institute of Advanced Sensing and Information Technology Xiangtan University Xiangtan411105 China

As a natural flavonoid with diverse pharmacological activities and remarkable efficacy, Luteolin has shown attractive potential for use in various applications such as drug discovery, food preservation, and functional foods. However, excessive flavonoid intake may cause adverse effects, so be alert to potential side effects. Because of this, we have successfully developed an electrochemical sensing platform for luteolin using a facile synthetic strategy. The core of this platform lies in the composite of metal oxides/alloys and nitrogen-doped porous carbon obtained after pyrolysis, whose unique porous architecture and rich pyrrolic nitrogen structure provide efficient adsorption sites for luteolin, while the diverse active centers embedded in the composite significantly enhance its electrocatalytic efficacy. The carefully constructed FeCo-NC-800/GCE electrochemical sensing platform exhibits excellent performance in detecting luteolin, even in actual samples such as peanut shells, honeysuckle, and chrysanthemum, which verified the accuracy of the sensor and demonstrated its great potential in practical applications. © 2025, The Authors. All rights reserved.

关键词： Porous carbon

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Macrocycle-based host-guest interactions improving electrical energy storage capability of all-organic dielectric composites

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Composites Science and technology 2025年 268卷

作者： Zhong, Hao Tan, Hao Deng, Liwen Luo, Hang Guo, Ru Chen, Sheng Key Laboratory of Polymeric Materials and Application Technology of Hunan Province College of Chemistry Xiangtan University Hunan Province Xiangtan411105 China State Key Laboratory of Powder Metallurgy Central South University Hunan Changsha410083 China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong N.T Shatin Hong Kong

Polymer films capacitors are widely used in the electrical and electronic fields, and much effort has been devoted to exploiting the high temperature resistant polymer dielectrics with superior discharged energy density (Ud) and efficiency (η) in harsh environments. The addition of organic molecular fillers is good way to improve the energy storage properties of dielectric polymers. In this work, for the first time, the host organic filler (methyl β-cyclodextrin, M-β-CD) is embedded into the guested polynorbornene dielectrics containing amantadine side-chain (PATMD). All-organic polymeric dielectric composites (M-β-CD/PATMD) is obtained based on the host-guest interaction between PATMD matrix and M-β-CD filler. The experiment results showed that the introduction of host filler can obviously enhance the Ud and η at high temperature and high field because inclusion complex can simultaneously increase thermal performance and trap depth. The maximum Ud of 0.1 wt% M-β-CD/PATMD is 7.4 J/cm2, maintaining the η of above 90 %. Importantly, at 150 °C and 200 °C, the largest Ud of 4.3 J/cm2 and 3.6 J/cm2 is achieved respectively, and the corresponding η is 80 % and 74 %, which is both much higher than that of pure PATMD. This work proves that the cyclodextrin-based host-guest design method is a good effective strategy for the preparation of high performance polymer dielectrics. © 2025 Elsevier Ltd

关键词： Capacitor storage

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Journey into Automation: Image-Derived Pavement Texture Extraction and Evaluation

arXiv

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arXiv 2025年

作者： Lu, Bingjie Dan, Han-Cheng Zhang, Yichen Huang, Zhetao School of Civil Engineering Central South University Changsha Hunan410075 China National Engineering Research Center for High-speed Railway Construction Technology Central South University Hunan Changsha410075 China Rail Data Research Application Key Laboratory of Hunan Province Central South University Hunan Changsha410075 China

Mean texture depth (MTD) is pivotal in assessing the skid resistance of asphalt pavements and ensuring road safety. This study focuses on developing an automated system for extracting texture features and evaluating MTD based on pavement images. The contributions of this work are threefold: firstly, it proposes an economical method to acquire three-dimensional (3D) pavement texture data;secondly, it enhances 3D image processing techniques and formulates features that represent various aspects of texture;thirdly, it establishes multivariate prediction models that link these features with MTD values. Validation results demonstrate that the Gradient Boosting Tree (GBT) model achieves remarkable prediction stability and accuracy (R2 = 0.9858), and field tests indicate the superiority of the proposed method over other techniques, with relative errors below 10%. This method offers a comprehensive end-to-end solution for pavement quality evaluation, from images input to MTD predictions output. Copyright © 2025, The Authors. All rights reserved.

关键词： Image texture

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A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Li, Langping Yi, Jizheng Fan, Hui Lin, Hui Institute of Artificial Intelligence Application Central South University of Forestry and Technology Changsha410004 China Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province Changsha410004 China Key Laboratory on Forest Resources Management and Monitoring in Southern China of National Forestry and Grassland Administration Changsha410004 China

In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs)and Transformers have been extensively studied. Nevertheless,CNN struggles to capture the global context due to its local feature extraction, while Transformer is constrained by the complexity of quadratic calculations. Recently, there has been a great deal of interest in Mamba-based state space ***, the existing Mamba-based methods do not adequately consider the significance of local information in remote sensing image segmentation tasks. In this article, a codec style network UMFormer is constructed for the semantic segmentation of remote sensing images. Specifically, UMFormer employs the ResNet18 as the encoder, with the objective of performing a pre-liminary image feature extraction. Subsequently, a self-attention mechanism is optimized to extract the global information per-taining to the objects of disparate sizes within the context of a multiscale condition. For fusing the codec feature map information, another attention structure is built to reconstruct the space information and to capture the relative position relationship. Finally, a decoder based on Mamba is designed to effectively model both global and local information. Concur-rently, a feature fusion mechanism utilizing feature similarity is devised with the objective of embedding local information into global ones. Numerous experiments on UAV Imagery Dataset(UAVid), Vaihingen, and Potsdam datasets have demonstrated that the proposed UMFormer exhibits enhanced accuracy while maintaining an efficient running speed. © 1980-2012 IEEE.

关键词： Semantic Segmentation

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Performance evaluation of reinforced slag-fly ash-ceramic waste powders ternary geopolymer concrete under chloride ingress environment

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Construction and Building Materials 2025年 478卷

作者： Yan, Gaoxu Hu, Jie Chen, Mengzhu Ma, Yuwei Huang, Haoliang Zhang, Zuhua Wei, Jiangxiong Shi, Caijun Yu, Qijun School of Materials Science and Engineering South China University of Technology Guangzhou510640 China Research Center for Wind Engineering and Engineering Vibration Guangzhou University Guangzhou510006 China Key Laboratory of Advanced Civil Engineering Materials of Ministry of Education School of Materials Science and Engineering Tongji University Shanghai201804 China Key Laboratory for Green & Advanced Civil Engineering Materials and Application Technology of Hunan Province College of Civil Engineering Hunan University Changsha410082 China

Ceramic waste powders (CWP) can be potentially used as precursors for preparing geopolymers. However, under marine environment, the influence of CWP on chloride resistance of geopolymer concrete and corrosion performance of the reinforcement embedded in geopolymer concrete are still not clear and needs to be clarified. This study systematically investigates the durability of reinforced slag-fly ash (FA)-CWP ternary geopolymer concrete under chloride ingress environments, aiming at elucidating the degradation mechanisms and providing theoretical basis for predicting service life of reinforced slag-FA-CWP ternary geopolymer concrete. By comparing workability, mechanical properties, chloride penetration resistance, drying shrinkage and steel corrosion resistance of C40-grade ternary geopolymer concrete with ordinary Portland cement (OPC) concrete, this research highlights the potential application of reinforced slag-FA-CWP ternary geopolymer concrete for marine environment. The results demonstrated that slag-FA-CWP ternary geopolymer concrete achieved workability and mechanical properties comparable to OPC concrete;further the ternary geopolymer concrete also exhibited denser pore structure and significantly lower chloride diffusion coefficient. During 240-day chloride immersion, steel embedded in slag-FA-CWP ternary geopolymer concrete maintained stable passive state, highlighting its superior anti-corrosion properties. These findings indicate that due to the retardation effect and micro-aggregate filling effect, the slag-FA-CWP ternary geopolymer concrete with excellent durability is a very promising green alternative to OPC under marine environment. © 2025 Elsevier Ltd

关键词： Fly ash

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Bio-inspired MXene/graphene oxide-based nanocomposites with enhanced interfacial self-healing effects and multifunctional integration

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Chemical Engineering Journal 2025年 513卷

作者： Li, Xiangjun Zou, Dening Tong, Libo Li, Miaomiao Dong, Yinxia Xu, Shiwei Wang, Qingjuan Wang, Kuaishe School of Metallurgical Engineering Xi'an University of Architecture and Technology Xi'an710055 China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China Engineering Research Center on Additive Manufacturing Technology and Application in Universities of Shaanxi Province Xi'an Siyuan University Shaanxi Xi'an710038 China

Self-healing materials have garnered considerable attention for their remarkable damage recovery capabilities. Nonetheless, the trade-off between enhanced mechanical strength and self-healing efficiency poses a formidable challenge. Inspired by the structure of biological enthesis, this study presents a self-healing polymer composite with complementary hydrogen bonding sites and gradient interface. The self-healing matrix is synthesized by incorporating multi-strength hydrogen bonds sites within a flexible polydimethylsiloxane backbone. The gradient interface is a character with "core-sheath" structure that integrates a rigid core (Ti3C2-MXene-grafted graphene oxide) and a soft shell (a cerium-polyphenol complex). The result exhibits impressive tensile strength (5.44 MPa, lifting approximately 4,434 times its own weight) and self-healing efficiency (96.4%) without requiring external stimuli. The resultant composite breaks through the monotony of the traditional two-dimensional (2D) nanofiller interface design and has the best mechanical performance in its kind. This composite coating also offers superior corrosion resistance (achieving a low-frequency impedance modulus of up to 5.25 × 109 ohm cm2) and healing corrosion resistance after damage for magnesium. Furthermore, this composite integrates self-healing properties, corrosion resistance, flame retardancy, and recyclability, offers a promising avenue of self-healing polymer composite for practical applications. © 2025 Elsevier B.V.

关键词： Corrosion resistant coatings

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Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model

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BMC Medical Informatics and Decision Making 2025年第1期25卷 1-15页

作者： Chen, Songchang Li, Jia Zhang, Xiao Xu, Wenqiu Qiu, Zhixu Yan, Siyao Zhao, Wenrui Zhao, Zhiguang Tian, Peirun Zhao, Qiang Zhang, Qun Chen, Weiping Li, Huahua Ruan, Xiaohong Xiao, Gefei Zhang, Sufen Hu, Liqing Qin, Jie Huang, Wuyan Li, Zhongzhe Wang, Shunyao Zhang, Rui Huang, Shang Wang, Xin Yao, Yao Ran, Jian Cheng, Danling Luo, Qi Pan, Teng Gao, Ruyun Zheng, Jing Wang, Yuxuan Liu, Cong Cao, Xianling Zhou, Xuanyou Xu, Naixin Zhang, Lanlan Han, Xu Wang, Haolin Feng, Suihua Li, Shuyuan Zhang, Jianguo Zhao, Lijian Wei, Fengxiang Obstetrics and Gynecology Hospital Institute of Reproduction and Development Fudan University Shanghai 200011 China Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health Clin Lab BGI Genomics Hebei Province Shijiazhuang 050011 China BGI Genomics Guangdong Province Shenzhen 518083 China Hebei Medical University Hebei Province Shijiazhuang 050011 China Department of Obstetrics and Gynecology Jiangmen Central Hospital Guangdong Province Jiangmen 529030 China Clinical Transformation and Application Key Lab for Obstetrics and Gynecology Pediatrics and Reproductive Medicine of Jiangmen Guangdong Province Jiangmen 529030 China Department of Medical Genetics and Prenatal Diagnosis Zhuhai Center for Maternal and Child Health Care Guangdong Province Zhuhai 519000 China Department of Prevention and Health Care Zhuhai Center for Maternal and Child Health Care Guangdong Province Zhuhai 519000 China Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University Hunan Province Changsha 410007 China Division of Maternal-Fetal Medicine Shenzhen Bao’ an Women’s and Children’s Hospital Guangdong Province Shenzhen 518102 China The Genetics Laboratory Longgang District Maternity and Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College) Longgang District Guangdong Province Shenzhen 518712 China Longgang District Maternity and Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College) Guangdong Province Shenzhen 518712 China Department of Blood Transfusion The Affiliated Suzhou Hospital of Nanjing Medical University Suzhou Municipal Hospital Gusu School Nanjing Medical University 80 Tianedang Road Suzhou Jiangsu 518712 China School of Basic Medical Sciences Jiamusi University Heilongjiang P

Background: This study was performed to characterize the relationship of various laboratory test indicators with clinical information and Preeclampsia (PE) development. Then, prediction models for early-onset preeclampsia (EOPE), late-onset preeclampsia (LOPE), and preterm preeclampsia (Preterm PE) were developed using maternal characteristics and laboratory data. Methods: Between January 2019 and December 2021, we retrospectively recruited 144 EOPE, 363 LOPE, 231 Preterm PE, and 1458 healthy participants from six hospitals. We utilized all available clinical and laboratory data obtained during routine prenatal visits in early pregnancy. The models for EOPE, LOPE, and Preterm PE were created using ensemble machine learning models with patient clinical and laboratory data. Results: By comparing laboratory variables between PE patients and healthy controls, we identified 7, 18, 8, 15, 7,29 laboratory markers for EOPE, LOPE, and Preterm PE, severe PE, superimposed PE, first-time PE respectively. The ensemble EOPE and LOPE models incorporating clinical and laboratory predictors outperformed the clinical factor models respectively. The ensemble EOPE model demonstrated good sensitivity (72.22%,95% confidence interval [CI]: 57.59%-86.85%) and specificity (85.25%,95% CI: 80.54%-89.97%) in distinguishing EOPE from controls in early pregnancy. Similarly, the ensemble LOPE model showed good accuracy in differentiating LOPE from healthy participants (sensitivity: 69.57%, 95% CI: 56.27%-82.86%;specificity: 85.25%, 95% CI: 80.54%-89.97%). The prediction scores demonstrated notable positive correlations with blood pressure at admission, while they showed inverse correlations with 24-hour urine protein levels and fetal growth restriction among PE patients. In conclusion, our study identified key laboratory indicators for forecasting PE. The developed models exhibited good predictive capability for assessing preeclampsia risk and severity based on clinical and laboratory data. Clini

关键词： laboratory data Machine learning model Preeclampsia

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The evolution of relaxation spectrum-derived apparent molecular weight distribution of asphalt binder during aging and rejuvenation

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Fuel 2025年 398卷

作者： Chen, Zihao Wu, Jichuan Yang, Xue Luo, Yao Zhang, Henglong Department of Civil and Environmental Engineering National University of Singapore Singapore 117576 Singapore Singapore Guangdong Communication Planning & Design Institute Group Co. Ltd Guangzhou510440 China Key Laboratory for Green & Advanced Civil Engineering Materials and Application Technology of Hunan Province College of Civil Engineering Hunan University Changsha410082 China Hunan Provincial Engineering Research Center for Construction Solid Wastes Recycling Hunan Yunzhong Recycling Technology Co. Ltd Changsha410205 China

Molecular weight distribution is a key indicator for characterizing the aging or rejuvenation levels of asphalt binders. However, traditional chromatography methods, due to solvent effects, inevitably disrupt the original molecular structure of asphalt, leading to potential misinterpretations in evaluating asphalt aging or rejuvenation. Unlike the solvent-based molecular weight distribution (SMWD), this study introduces a non-destructive approach to derive the bulk-based molecular weight distribution (BMWD) from linear viscoelastic properties, aiming to provide a more accurate assessment of asphalt aging and rejuvenation. To address this gap, BMWDs derived from the relaxation spectrum were systematically compared with SMWDs measured by gel permeation chromatography (GPC) with respect to distribution curves and representative indices, focusing on their evolution trends, interrelationships, and sensitivities across various levels of aging and rejuvenation. The results indicate that the GPC-measured SMWD curve can directly detect the presence and dosage variation of rejuvenator in asphalt, but it fails to clearly reveal the effects of rejuvenator on the molecular weight of aged asphalt. Compared to SMWD results, the BMWD-derived indices illustrate a stronger positive correlation with the aging degree and a more pronounced negative correlation with rejuvenator dosage. The linear correlation strengths between BMWD and SMWD for Mw and PDI remain strong throughout the aging process but diminish notably once rejuvenation data is incorporated. Most importantly, BMWD-derived indices exhibit significantly better sensitivity to variations in binder aging and rejuvenation than those derived from SMWD, making them more valuable for guiding the design of asphalt mixtures with improved aging resistance or recycling performance. © 2025

关键词： Gel permeation chromatography

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Relationship Between the Strengthening Effect and the Morphology of Precipitates in Al–7.4Zn–1.7Mg–2.0Cu Alloy

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Acta Metallurgica Sinica(English Letters) 2014年第6期27卷 1070-1077页

作者： Xiubo Yang Jizi Liu Jianghua Chen Caiyun Wan Lei Fang Ping Liu Cuilan Wu College of Materials Science & Engineering Hunan University Hunan Province Key Laboratory for Spray Deposition Technology and Application Hunan University

The morphological evolution of the precipitates in Al–7.4Zn–1.7Mg–2.0Cu（wt%） alloy was studied by highresolution transmission electron microscopy（HRTEM）. Statistics reveal that the hardness of the alloy changes accordingly with the change of the average thickness–diameter ratio of precipitates. The GPII zones are mainly responsible for the first and also the highest hardness peak. They grow in diameter and keep 7-atomic-layer in thickness. Once the thickness changes, the phase transformation from GPII zone to g0 or g-precursor would occur. The resultant metastable g0 and g-precursor precipitates grow in both diameter and thickness, but much faster in the former. After the first hardness peak,the metastable g0 precipitates and g-precursor, coexisting with part of GPII zones, are counted as the main hardening precipitates.

关键词： Aluminum alloys Precipitates Age hardening Electron microscopy Morphology

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