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Facile fabrication of highly durable superhydrophobic strain sensors for subtle human motion detection

Journal of Materials Science & Technology 2022年第15期110卷 35-42页

作者： Li-Chuan Jia Chang-Ge Zhou Kun Dai ding-xiang yan Zhong-Ming Li College of Electrical Engineering Sichuan UniversityChengdu 610065China College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610065China College of Materials Science and Engineering The Key Laboratory of Material Processing and Mold of Ministry of EducationZhengzhou UniversityZhengzhou 450001China School of Aeronautics and Astronautics Sichuan UniversityChengdu 610065China

Endowing strain sensors with superhydrophobicity is of great importance to guarantee their long-term service under harsh environments(such as wet,acid,alkali and salt atmospheres),whereas,the development of superhydrophobic strain sensors remains a great challenge.Herein,we realized a superhydrophobic and highly sensitive sensor for subtle human motion detection by designing a superhydrophobic and electrically conductive coating on cotton textile,via a facile drop-coating method.The resultant strain sensor showed a large water contact angle of 161.3°and a low sliding angle of 3.8°The superhydrophobic characteristics can keep almost unchanged even after undergoing 1000 peeling cycles,1000 stretchingrelease cycles,and 1000 bending-releasing cycles,revealing its excellent mechanical robustness.High sensitivity with the maximum gage factor of 169 was achieved for the strain sensor under a small strain of0–10%,and the sensing performance also showed well durability.Moreover,our sensor can effectively detect various subtle human physiological signals and body motions even under harsh conditions.These admirable features make the sensor promising applications in wearable electronics,personalized health monitoring,sound recognition,and so on.

关键词： Strain sensors Superhydrophobicity High sensitivity Drop coating Durable

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Flexible Polydimethylsiloxane Composite with Multi-Scale Conductive Network for Ultra-Strong Electromagnetic Interference Protection

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Nano-Micro Letters 2023年第1期15卷 293-306页

作者： Jie Li He Sun Shuang-Qin Yi Kang-Kang Zou Dan Zhang Gan-Ji Zhong ding-xiang yan Zhong-Ming Li College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610065People’s Republic of China School of Aeronautics and Astronautics Sichuan UniversityChengdu 610065People’s Republic of China

Highly conductive polymer composites(CPCs) with excellent mechanical flexibility are ideal materials for designing excellent electromagnetic interference(EMI) shielding materials,which can be used for the electromagnetic interference protection of flexible electronic devices.It is extremely urgent to fabricate ultra-strong EMI shielding CPCs with efficient conductive networks.In this paper,a novel silver-plated polylactide short fiber(Ag@PL ASF,AAF) was fabricated and was integrated with carbon nanotubes(CNT) to construct a multi-scale conductive network in polydimethylsiloxane(PDMS) matrix.The multi-scale conductive network endowed the flexible PDMS/AAF/CNT composite with excellent electrical conductivity of 440 S m-1and ultra-strong EMI shielding effectiveness(EMI SE) of up to 113 dB,containing only 5.0 vol% of AAF and 3.0 vol% of CNT(11.1wt% conductive filler content).Due to its excellent flexibility,the composite still showed 94% and 90% retention rates of EMI SE even after subjected to a simulated aging strategy(60℃ for 7 days) and 10,000 bending-releasing cycles.This strategy provides an important guidance for designing excellent EMI shielding materials to protect the workspace,environment and sensitive circuits against radiation for flexible electronic devices.

关键词： Flexible conductive polymer composites Silver-plated polylactide short fiber Carbon nanotube Electromagnetic interference shielding Multi-scale conductive network

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Highly enhanced microwave absorption for carbon nanotube/barium ferrite composite with ultra-low carbon nanotube loading

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Journal of Materials Science & Technology 2022年第7期102卷 115-122页

作者： Yue-Yi Wang Song-yang Wen-Jin Sun Kun Dai ding-xiang yan Zhong-Ming Li College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610065China School of Materials Science and Engineering Zhengzhou UniversityZhengzhou 450001China School of Aeronautics and Astronautics Sichuan UniversityChengdu 610065China

Barium ferrite(BaFe_(12)O_(19))is considered as potential microwave absorption(MA)material thanks to the large saturation magnetization,high Curie temperature,and excellent chemical stability.The integration of carbon nanotube(CNT)can improve the dielectric loss of BaFe_(12)O_(19)for further enhanced MA perfor-mance,nevertheless,the MA performance is still not desirable because of the poor CNT dispersion in the CNT/BaFe_(12)O_(19)composites,which usually prepared via the ball-milling method,unless high CNT loading was used.Herein,according to the thermal stability of CNT in different atmosphere and the formation mechanism of BaFe_(12)O_(19)from precursor,CNT was introduced in the precursor of BaFe_(12)O_(19)uniformly during auto-ignition process and calcined under different atmosphere.When CNT loading is only 2.0 wt%,the CNT/BaFe_(12)O_(19)composites obtained exhibits a minimum reflection loss(RL_(min))of-43.9 dB and effective bandwidth(with RL<-10 dB)of 3.9 GHz with the thickness of 1.5 mm,which are much supe-rior to-10.2 dB and 2.2 GHz for pure BaFe_(12)O_(19),and-13.6 dB and 2.5 GHz for CNT/BaFe_(12)O_(19)composite prepared by ball-milling method.These results may pave the way to design high-performance BaFe_(12)O_(19)based microwave absorbers.

关键词： Carbon nanotube Barium ferrite Microwave absorption

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Carbon aerogel microspheres with in-situ mineralized TiO_(2)for efficient microwave absorption

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Nano Research 2022年第8期15卷 7723-7730页

作者： Yue-Yi Wang Jin-Long Zhu Nan Li Jun-Feng Shi Jian-Hua Tang ding-xiang yan Zhong-Ming Li School of Aeronautics and Astronautics Sichuan UniversityChengdu 610065China College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610065China College of Chemical Engineering Sichuan UniversityChengdu 610065China

Carbon aerogels(CAs)have been considered potential microwave absorption(MA)materials because of intrinsic hierarchical porous structure,low density,and excellent heat resistance.However,CAs always required to be ground into micron-scale powder before being used as microwave absorbers,which will inevitably destroy the hierarchical porous structure.Meanwhile,reproducing the optimized CAs powders is difficult.Herein,CAs microspheres with in-situ mineralized TiO_(2)were easily prepared via a sol–gel transition and calcination process.The uniform size of CA microspheres and the loaded TiO_(2)on the skeleton of CA yield great microwave attenuation performance while guaranteeing good impedance matching performance.The obtained TiO_(2)/CA hybrid presented a minimum reflection loss value of−30.2 dB and a broad effective absorption bandwidth(reflection loss below−10 dB)of 6.2 GHz.The low density,MA performance,and controllable particle size make the novel TiO_(2)/CA hybrid promising candidates for MA applications.

关键词： carbon aerogel microsphere cellulose titanium dioxide microwave absorption

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A Healable and Mechanically Enhanced Composite with Segregated Conductive Network Structure for High‑Efficient Electromagnetic Interference Shielding

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Nano-Micro Letters 2021年第11期13卷 18-31页

作者： Ting Wang Wei‑Wei Kong Wan‑Cheng Yu Jie‑Feng Gao Kun Dai ding‑xiang yan Zhong‑Ming Li College of Polymer Science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610065People’s Republic of China The College of Chemistry and Chemical Engineering Yangzhou UniversityYangzhou 225009People’s Republic of China School of Materials Science and Engineering Zhengzhou UniversityZhengzhou 450001People’s Republic of China School of Aeronautics and Astronautics Sichuan UniversityChengdu 610065People’s Republic of China

It is still challenging for conductive polymer composite-based electromagnetic interference(EMI)shielding materials to achieve long-term stability while maintaining high EMI shielding effectiveness(EMI SE),especially undergoing external mechanical stimuli,such as scratches or large deformations.Herein,an electrostatic assembly strategy is adopted to design a healable and segregated carbon nanotube(CNT)/graphene oxide(GO)/polyurethane(PU)composite with excellent and reliable EMI SE,even bearing complex mechanical condition.The negatively charged CNT/GO hybrid is facilely adsorbed on the surface of positively charged PU microsphere to motivate formation of segregated conductive networks in CNT/GO/PU composite,establishing a high EMI SE of 52.7 dB at only 10 wt%CNT/GO loading.The Diels–Alder bonds in PU microsphere endow the CNT/GO/PU composite suffering three cutting/healing cycles with EMI SE retention up to 90%.Additionally,the electrostatic attraction between CNT/GO hybrid and PU microsphere helps to strong interfacial bonding in the composite,resulting in high tensile strength of 43.1 MPa and elongation at break of 626%.The healing efficiency of elongation at break achieves 95%when the composite endured three cutting/healing cycles.This work demonstrates a novel strategy for developing segregated EMI shielding composite with healable features and excellent mechanical performance and shows great potential in the durable and high precision electrical instruments.

关键词： Electrostatic attraction Healable EMI shielding Diels–Alder reaction

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Effects of Lactobacillus paracasei N1115 on gut microbial imbalance and liver function in patients with hepatitis B-related cirrhosis

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World Journal of Gastroenterology 2024年第11期30卷 1556-1571页

作者： yan-Chao Hu xiang-Chun ding Hui-Juan Liu Wan-Long Ma Xue-yan Feng Li-Na Ma Department of Infectious Disease General Hospital of Ningxia Medical UniversityYinchuan 750004Ningxia Hui Autonomous RegionChina Infectious Disease Clinical Research Center of Ningxia Yinchuan 750004Ningxia Hui Autonomous RegionChina

BACKGROUND Hepatitis B cirrhosis(HBC)is a chronic disease characterized by irreversible diffuse liver damage and aggravated by intestinal microbial imbalance and metabolic dysfunction.Although the relationship between certain single probiotics and HBC has been explored,the impact of the complex ready-to-eat Lactobacillus paracasei N1115(LP N1115)supplement on patients with HBC has not been determined.AIM To compare the changes in the microbiota,inflammatory factor levels,and liver function before and after probiotic treatment in HBC patients.METHODS This study included 160 HBC patients diagnosed at the General Hospital of Ningxia Medical University between October 2018 and December 2020.Patients were randomly divided into an intervention group that received LP N1115 supplementation and routine treatment and a control group that received routine treatment only.Fecal samples were collected at the onset and conclusion of the 12-wk intervention period.The structure of the intestinal microbiota and the levels of serological indicators,such as liver function and inflammatory factors,were assessed.RESULTS Following LP N1115 intervention,the intestinal microbial diversity significantly increased in the intervention group(P<0.05),and the structure of the intestinal microbiota was characterized by an increase in the proportions of probiotic microbes and a reduction in harmful bacteria.Additionally,the intervention group demonstrated notable improvements in liver function indices and significantly lower levels of inflammatory factors(P<0.05).CONCLUSION LP N1115 is a promising treatment for ameliorating intestinal microbial imbalance in HBC patients by modulating the structure of the intestinal microbiota,improving liver function,and reducing inflammatory factor levels.

关键词： Hepatitis B cirrhosis N1115 ready-to-eat lactobacillus Inflammation Liver function Lachnospiraceae incertae sedis Probiotic

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E-MobileNeXt: face expression recognition model based on improved MobileNeXt

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Optoelectronics Letters 2024年第2期20卷 122-128页

作者： ZHANG xiang yan Chunman School of Physics and Electronic Engineering Northwest Normal UniversityLanzhou 730070China1

In response to the high complexity and low accuracy of current facial expression recognition networks, this paper proposes an E-Mobile Ne Xt network for facial expression recognition. E-Mobile Ne Xt is built based on our proposed E-Sand Glass block. In addition, we also improve the overall performance of the network through Rep Conv and SGE attention mechanisms. The experimental results show that the network model improves the expression recognition accuracy by 6.5% and 7.15% in RAF-DB and CK+ datasets, respectively, while the parameter and floating-point operations decreased by 0.79 M and 4.2 M compared with Mobile Ne Xt.

关键词： facial mechanisms. network

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Knowledge-embedded spatio-temporal analysis for euploidy embryos identification in couples with chromosomal rearrangements

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Chinese Medical Journal 2024年第6期137卷 694-703页

作者： Fangying Chen xiang Xie Du Cai Pengxiang yan Chenhui ding yangxing Wen yanwen Xu Feng Gao Canquan Zhou Guanbin Li Qingyun Mai Reproductive Medicine Center The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong 510080China Guangdong Provincial Key Laboratory of Reproductive Medicine GuangzhouGuangdong 510080China School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhouGuangdong 510006China Department of General Surgery(Colorectal Surgery) The Sixth Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong 510655China Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases The Sixth Affiliated HospitalSun Yat-sen UniversityGuangzhouGuangdong 510655China Biomedical Innovation Center The Sixth Affiliated HospitalSun Yat-sen UniversityGuangzhouGuangdong 510655China Shanghai Artificial Intelligence Laboratory Shanghai 200232China

Background:The goal of the assisted reproductive treatment is to transfer one euploid blastocyst and to help infertile women giving birth one healthy neonate.Some algorithms have been used to assess the ploidy status of embryos derived from couples with normal chromosome,who subjected to preimplantation genetic testing for aneuploidy(PGT-A)treatment.However,it is currently unknown whether artificial intelligence model can be used to assess the euploidy status of blastocyst derived from populations with chromosomal rearrangement.Methods:From February 2020 to May 2021,we collected the whole raw time-lapse videos at multiple focal planes from in vitro cultured embryos,the clinical information of couples,and the comprehensive chromosome screening results of those blastocysts that had received PGT treatment.Initially,we developed a novel deep learning model called the Attentive Multi-Focus Selection Network(AMSNet)to analyze time-lapse videos in real time and predict blastocyst formation.Building upon AMSNet,we integrated additional clinically predictive variables and created a second deep learning model,the Attentive Multi-Focus Video and Clinical Information Fusion Network(AMCFNet),to assess the euploidy status of embryos.The efficacy of the AMCFNet was further tested in embryos with parental chromosomal rearrangements.The receiver operating characteristic curve(ROC)was used to evaluate the superiority of the model.Results:A total of 4112 embryos with complete time-lapse videos were enrolled for the blastocyst formation prediction task,and 1422 qualified blastocysts received PGT-A(n=589)or PGT for chromosomal structural rearrangement(PGT-SR,n=833)were enrolled for the euploidy assessment task in this study.The AMSNet model using seven focal raw time-lapse videos has the best real-time accuracy.The real-time accuracy for AMSNet to predict blastocyst formation reached above 70%on the day 2 of embryo culture,and then increased to 80%on the day 4 of embryo culture.Combing with 4 clinical features of couples,the AUC of A

关键词： Euploidy status Embryo Time-lapse imaging Deep learning Spatio-temporal analysis Preimplantation genetic testing for chromosomal structural rearrangement

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Detection of LAMA2 c.715C>G:p.R239G mutation in a newborn with raised creatine kinase: A case report

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World Journal of Clinical Cases 2024年第14期12卷 2445-2450页

作者： Jing Yuan xiang-Ming yan Department of Pediatric Children’s Hospital of Soochow UniversitySuzhou 215025Jiangsu ProvinceChina Department of Surgery Children's Hospital of Soochow UniversitySuzhou 215000Jiangsu ProvinceChina

BACKGROUND We report a rare case of primary clinical presentation featuring elevated creatine kinase(CK)levels in a neonate,which is associated with the LAMA2 gene.In this case,a heterozygous mutation in exon5 of the LAMA2 gene,c.715C>G(resulting in a change of nucleotide number 715 in the coding region from cytosine to gua-nine),induced an amino acid alteration p.R239G(No.239)in the patient,repre-senting a missense mutation.This observation may be elucidated by the neonatal creatine monitoring mechanism,a phenomenon not previously reported.CASE SUMMARY We analysed the case of a neonate presenting solely with elevated CK levels who was eventually discharged after supportive treatment.The chief complaint was identification of increased CK levels for 15 d and higher CK values for 1 d.Ad-mission occurred at 18 d of age,and despite prolonged treatment with creatine and vitamin C,the elevated CK levels showed limited improvement.Whole exo-me sequencing revealed the presence of a c.715C>G mutation in LAMA2 in the newborn,correlating with a clinical phenotype.However,the available informa-tion offers insufficient evidence for clinical pathogenicity.CONCLUSION Mutations in LAMA2 are associated with the clinical phenotype of increased neonatal CK levels,for which no specific treatment exists.Whole genome sequen-cing facilitates early diagnosis.

关键词： Creatine kinase LAMA2 Gene mutation Neonate Case report

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A deep learning interatomic potential suitable for simulating radiation damage in bulk tungsten

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Tungsten 2024年第2期6卷 304-322页

作者： Chang-Jie ding Ya-Wei Lei Xiao-yang Wang Xiao-Lin Li xiang-yan Li yan-Ge Zhang Yi-Chun Xu Chang-Song Liu Xue-Bang Wu Key Laboratory of Materials Physics Institute of Solid State PhysicsHFIPSChinese Academy of SciencesHefei 230031China Science Island University of Science and Technology of ChinaHefei 230026China Laboratory of Computational Physics Institute of Applied Physics and Computational MathematicsBeijing 100088China

So far, it has been a challenge for existing interatomic potentials to accurately describe a wide range of physical properties and maintain reasonable efficiency. In this work, we develop an interatomic potential for simulating radiation damage in body-centered cubic tungsten by employing deep potential, a neural network-based deep learning model for representing the potential energy surface. The resulting potential predicts a variety of physical properties consistent with first-principles calculations, including phonon spectrum, thermal expansion, generalized stacking fault energies, energetics of free surfaces, point defects, vacancy clusters, and prismatic dislocation loops. Specifically, we investigated the elasticity-related properties of prismatic dislocation loops, i.e., their dipole tensors, relaxation volumes, and elastic interaction energies. This potential is found to predict the maximal elastic interaction energy between two 1/2 loops better than previous potentials, with a relative error of only 7.6%. The predicted threshold displacement energies are in reasonable agreement with experimental results, with an average of 128 eV. The efficiency of the present potential is also comparable to the tabulated gaussian approximation potentials and modified embedded atom method potentials, meanwhile, can be further accelerated by graphical processing units. Extensive benchmark tests indicate that this potential has a relatively good balance between accuracy, transferability, and efficiency.

关键词： Machine learning Deep learning Interatomic potential Radiation damage Tungsten

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