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Tailor-made high elasticity and low-hysteresis hydrogels based on asymmetric H-bonding crosslinking for wearable applications

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Science China Chemistry 2025年

作者： Xiaofang Shi Nan Shi Miaomiao Dang Chengyu Ji Yingjie Li Peiyi Wu Zhiguo hu Collaborative Innovation Centre of Henan Province for Green Manufacturing of Fine Chemicals Henan Engineering Laboratory of Chemical Pharmaceutical and Biomedical Materials School of Chemistry and Chemical Engineering Henan Normal University State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Chemistry Chemical Engineering and Biotechnology & Center for Advanced Low-dimension Materials Donghua University

The conventional method of fabricating hydrogels constantly confronts the conflict between elasticity and toughness, limiting their repetitive application. Achieving the desired elasticity through a simple and low-cost approach is a significant challenge for hydrogels, particularly through rational molecular design. Here, low-hysteresis and high-toughness hydrogels are developed from the design of a new feature monomer, N-acryloylethylsemicarbazide (NACE). Based on a concept of “asymmetric Hbonding design”, the unique double and triple H-bonding of NACE can result in a novel asymmetric crosslinking polymer with alternating strong and weak H-bonding regions. The NACE is copolymerized with acrylamide (AM) to regulate the mechanical properties of hydrogel via H-bonding density. The P(NACE-AM) ionic hydrogels are obtained simply and rapidly via one-step photopolymerization without a chemical cross-linking agent. The P(NACE-AM) hydrogels combine superb mechanical elasticity and toughness, and excellent ionic conductivity, showing great potential as durable ionic conductive devices for wearable utilization.

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Bifunctional bridging capping layer enables 24.5% efficiency of perovskite solar cells with polymer-based hole transport materials

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Science China Chemistry 2025年第1期68卷 350-359页

作者： Can Zhu Yiyang Wang Lei Meng Beibei Qiu Jing Li Shucheng Qin Ke hu Xin Jiang Wenbin Lai Minchao Liu Zhe Liu Chenxing Lu Jinyuan Zhang Yongfang Li Beijing National Laboratory for Molecular Sciences CAS Key Laboratory of Organic Solids Institute of Chemistry Chinese Academy of Sciences School of Chemical Science University of Chinese Academy of Sciences Key Laboratory of Solid State Optoelectronic Devices of Zhejiang Province College of Physics and Electronic Information Engineering Zhejiang Normal University Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and ChemistryChinese Academy of Sciences Laboratory of Advanced Optoelectronic Materials College of Chemistry Chemical Engineering and Materials ScienceSoochow University

Developing a bridge capping layer between perovskite and hole transport layer materials（HTMs） in the n-i-p perovskite solar cells（pero-SCs） is an effective approach to modify the morphology of HTMs and passivate the perovskite ***, we select the quinoxaline-based bifunctional passivation agent, quinoxalin-6-yl-methylamine hydrochloride（Qx MACl）,as the bridging layer, and a D-A copolymer PBQ12 containing the same quinoxaline unit as an HTM for the n-i-p pero-SCs. Due to the π-π stacking among the common quinoxaline units in the bridge layer and HTM, Qx MACl induces the π-π stacking of the PBQ12 film and improves the film morphology of HTMs with better conductivity. Additionally, Qx MACl can effectively passivate the perovskite surface, and PBQ12 possesses appropriate energy levels and high hole mobility. The pero-SCs based on FAPbI3with PBQ12/Qx MACl treatment showed a higher power conversion efficiency（PCE） of 24.05% and outstanding stability, maintaining 95.4% and 92.1% of its initial PCE after 750 h of storage and after over 800 h of thermal annealing at 85 °C, respectively. To further enhance the PCE of the PBQ12/Qx MACl-based devices, we developed a non-metal ion dopant for the PBQ12 HTM. Through trace doping of PBQ12 HTM by the non-metal ion dopant, the PCE of the PBQ12/Qx MACl-based devices reached 25.24%（the calibrated PCE of 24.55% by the National Institute of Metrology, China）.

关键词： D-A copolymer, hole transport materials, bifunctional bridge capping layer, passivation perovskite solar cells

A new pseudo rubrene analogue with excellent film forming ability

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Science China Chemistry 2011年第4期54卷 631-635页

作者： ZHANG XiaoTao MENG Qing HE yudong WANG ChengLiang DONG huanLi hu WenPing Beijing National Laboratory for Molecular Science Key Laboratory of Organic SolidsInstitute of ChemistryChinese Academy of SciencesBeijing 100190China

A novel pseudo rubrene analogue,6,11-di(thiophen-2-yl)-tetracene-5,12-dione (DTTDO) was synthesized,in which two thienyl groups and two carbonyl groups replacing four phenyl groups in the rubrene molecule were connected to the backbone of *** compound was characterized by single crystal X-ray structure analysis,thermogravimetric analysis,absorption spectra and electrochemical *** rubrene,DTTDO exhibited excellent film forming ability by normal vacuum deposition,indicating its promising applications in organic thin film transistors.

关键词： DTTDO thin films organic field-effect transistors

GGVD:A goat genome variation database for tracking the dynamic evolutionary process of selective signatures and ancient introgressions

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Journal of Genetics and Genomics 2021年第3期48卷 248-256页

作者： Weiwei Fu Rui Wang Jiantao Yu Dexiang hu yudong Cai Junjie Shao Yu Jiang Key Laboratory of Animal Genetics Breeding and Reproduction of Shaanxi ProvinceCollege of Animal Science and TechnologyNorthwest A&F UniversityYanglingShaanxi 712100China College of Information Engineering Northwest A&F UniversityYanglingShaanxi 712100China

Understanding the evolutionary history and adaptive process depends on the knowledge that we can acquire from both ancient and modern genomic *** the availability of a deluge of whole-genome sequencing data from ancient and modern goat samples,a user-friendly database making efficient reuse of these important resources is ***,we use the genomes of 208 modern domestic goats,24 bezoars,46 wild ibexes,and 82 ancient goats to present a comprehensive goat genome variation database(GGVD).GGVD hosts a total of~41.44 million SNPs,~5.14 million indels,6,193 selected loci,and 112 introgression *** can freely visualize the frequency of genomic variations in geographical maps,selective sweeps in interactive tables,Manhattan plots,or line charts,as well as the heatmap patterns of the SNP *** data can be shown in haplotypes to track the state of genetic variants of selection and introgression events in the early,middle,and late *** facilitating access to sequence features,the UCSC Genome Browser,BLAT,BLAST,Lift Over,and pcadapt are also integrated into *** will be a convenient tool for population genetic studies and molecular marker designing in goat breeding programs,and it is publicly available at http://***/Goat Var.

关键词： Goat Genetic structure Variation Selective signature Introgression Database

Early identification of stroke through deep learning with multi-modal human speech and movement data

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Neural Regeneration Research 2025年第1期20卷 234-241页

作者： Zijun Ou Haitao Wang Bin Zhang Haobang Liang Bei hu Longlong Ren Yanjuan Liu Yuhu Zhang Chengbo Dai Hejun Wu Weifeng Li Xin Li School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhouGuangdong ProvinceChina Department of Neurology Guangdong Neuroscience InstituteGuangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina Department of Emergency Medicine Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina

Early identification and treatment of stroke can greatly improve patient outcomes and quality of *** clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized *** this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute *** collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the *** compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and *** found that the findings of our deep learning model had a higher clinical value compared with the other ***,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech *** results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.

关键词： artificial intelligence deep learning diagnosis early detection FAST screening stroke

Effect of BNNTs/matrix interface tailoring on toughness and fracture morphology of hierarchical SiC_f/SiC composites

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Journal of Advanced Ceramics 2019年第4期8卷 555-563页

作者： Guangxiang Zhu Qian FENG Jinshan YANG Jianbao hu Hongda WANG yudong XUE Qingliang SHAN Shaoming DONG State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 200050China Structural Ceramics and Composites Engineering Research Center Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 200050China University of Chinese Academy of Sciences Beijing 100049China Analysis and Testing Center Donghua UniversityShanghai 201600China

A thin BN interphase is applied on BNNTs surface to tailor the interfacial bonding between BNNTs and SiC matrix in hierarchical SiCf/SiC composites. The thickness of BN interphase ranging from 10 to 70 nm can be optimized by chemical vapor deposition after BNNTs are in situ grown on SiC fiber surface. Without BN interphase, the fracture toughness of hierarchical Si Cf/Si C composites can be impaired by 13.6% due to strong interfacial bonding. As long as BN interphase with 30–45 nm thickness is applied, the interfacial bonding can be optimized and fracture toughness of hierarchical composites can be improved by 27.3%. It implies that tailoring BNNTs/matrix interface by depositing a layer of BN interphase is in favor of activating energy dissipation mechanisms at nanoscale induced by BNNTs.

关键词： boron nitride nanotubes(BNNTs) interface nanocomposites toughness and toughening

A denoising algorithm based on the improved EWT in distributed fiber optic temperature measurement system

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Optoelectronics Letters 2025年

作者： Xu Xiaoyi hu Kai Wei Xiaoying Zhang Kailiang Tianjin University of Technology， School of Integrated Circuit Science and Engineering Aerospace Optoelectronic Technology Development Co.， Ltd.

In order to enhance the temperature measurement accuracy of Raman distributed fiber optic temperature measurement system， in this paper， we propose a distributed fiber optic temperature measurement signal denoising algorithm based on the empirical wavelet transform with improved thresholding. This algorithm is used to decompose the noisy signal into multiple intrinsic modal threshold functions， which are further reconstructed by correlation filtering and threshold processing each of the IMFs using an improved function. The correlation filtering mechanism in this algorithm effectively reduces the regular noise and the amount of computation to improve the response speed. The improved threshold function can significantly reduce the spiky noise and smoothen the signal. The field temperature data is collected in the experiment， and the algorithm is implemented in the FPGA platform. In measured results， the system's temperature measurement accuracy is ±0.18℃ over 2.5 km of sensing fiber， with average response time is 0.6 seconds.

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3D Printing of Tough Hydrogel Scaffolds with Functional Surface Structures for Tissue Regeneration

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Nano-Micro Letters 2025年第2期17卷 18-45页

作者： Ke Yao Gaoying Hong Ximin Yuan Weicheng Kong Pengcheng Xia Yuanrong Li Yuewei Chen Nian Liu Jing He Jue Shi Zihe hu Yanyan Zhou Zhijian Xie Yong He State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310027People’s Republic of China Liangzhu Laboratory Zhejiang UniversityHangzhou 310027People’s Republic of China Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province College of Mechanical EngineeringZhejiang UniversityHangzhou 310027People’s Republic of China Stomatology Hospital School of StomatologyZhejiang University School of MedicineHangzhou 310027People’s Republic of China State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001People’s Republic of China Institute of Digital Medicine Nanjing First HospitalNanjing Medical UniversityNanjing 210006People’s Republic of China

Hydrogel scaffolds have numerous potential applications in the tissue engineering ***,tough hydrogel scaffolds implanted in vivo are seldom reported because it is difficult to balance biocompatibility and high mechanical *** by Chinese ramen,we propose a universal fabricating method(printing-P,training-T,cross-linking-C,PTC&PCT)for tough hydrogel scaffolds to fill this ***,3D printing fabricates a hydrogel scaffold with desired structures(P).Then,the scaffold could have extraordinarily high mechanical properties and functional surface structure by cycle mechanical training with salting-out assistance(T).Finally,the training results are fixed by photo-cross-linking processing(C).The tough gelatin hydrogel scaffolds exhibit excellent tensile strength of 6.66 MPa(622-fold untreated)and have excellent ***,this scaffold possesses functional surface structures from nanometer to micron to millimeter,which can efficiently induce directional cell ***,this strategy can produce bionic human tissue with mechanical properties of 10 kPa-10 MPa by changing the type of salt,and many hydrogels,such as gelatin and silk,could be improved with PTC or PCT *** experiments show that this scaffold can effectively promote the new generation of muscle fibers,blood vessels,and nerves within 4 weeks,prompting the rapid regeneration of large-volume muscle loss injuries.

关键词： 3D printing Tough hydrogel scaffold Functional surface structure Tissue regeneration Biomaterials

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社交媒体健康信息用户信任形成机理研究

现代情报 2025年第1期45卷 97-111页

作者：初彦伯王萍胡姝姝吉林大学商学与管理学院吉林长春130012

[目的/意义]在公共卫生事件频发的背景下,国民对健康信息需求急剧增长。社交媒体作为用户信息获取的重要途径之一,在高效传播健康信息的同时,也为虚假健康信息的产生和传播提供便利条件。随着社交媒体渗透力和影响力不断扩大,用户对健... 详细信息

[目的/意义]在公共卫生事件频发的背景下,国民对健康信息需求急剧增长。社交媒体作为用户信息获取的重要途径之一,在高效传播健康信息的同时,也为虚假健康信息的产生和传播提供便利条件。随着社交媒体渗透力和影响力不断扩大,用户对健康信息的不确定感愈发强烈。鉴于此,本文对社交媒体健康信息用户的信任形成机理进行探索,以期为后续相关研究提供参考和借鉴。[方法/过程]解构社交媒体健康信息用户信任形成的要素,建构面向用户感知过程的信任综合框架,从用户、信息和环境3个方面提出社交媒体健康信息用户信任理论假设模型,并对结构模型进行修正。[结果/结论]研究从理论层面明晰社交媒体健康信息用户感知信任过程以及用户心理变化的进程。研究还发现热评情感极性、涉入度、信源可信度、冲突解决对信任存在显著的正向影响。信任对采纳意愿存在显著的正向影响。参照群体规范对采纳意愿存在显著的正向影响。此外,信任分别在热评情感极性、涉入度、信源可信度和冲突解决与信息采纳意愿之间起到完全中介作用。

关键词：社交媒体健康信息信任感知可信度