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Crystalline-amorphization-recrystallization structural transition and emergent superconductivity in van der Waals semiconductor SiP under compression

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science China(Physics,Mechanics & Astronomy) 2024年第5期67卷 115-122页

作者： Chunhua Chen Zhenyu Ding Yonghui Zhou Yifang Yuan Nixian Qian Jing Wang Shuyang Wang Ying Zhou Chao An Min Zhang Xuliang Chen Xiaoping Yang Mingliang Tian Zhaorong Yang Anhui Key Laboratory of Low-Energy Quantum Materials and Devices High Magnetic Field LaboratoryHFIPSChinese Academy of SciencesHefei 230031China science Island Branch of graduate school University of Science and Technology of ChinaHefei 230026China Key Laboratory of Material Physics Ministry of EducationSchool of Physics and MicroelectronicsZhengzhou UniversityHefei 230601China Institutes of Physical science and Information Technology Anhui UniversityZhengzhou 450001China Collaborative Innovation Center of Advanced Microstructures Nanjing UniversityNanjing 210093China

van der Waals(vdW)semiconductors have gained significant attention due to their unique physical properties and promising applications,which are embedded within distinct crystallographic ***,we report a pressure-induced crystallineamorphization-recrystallization transition under compression in binary vdW semiconductor *** compression to 52 GPa,bulk SiP undergoes a consecutive phase transition from pristine crystalline to amorphous phase,ultimately to recrystallized *** employing synchrotron X-ray diffraction experiments in conjunction with high-pressure crystal structure searching techniques,we reveal that the recrystallized Si P hosts a tetragonal structure(space group I4mm)and further transforms partially into a cubic phase(space group Fm3m).Consistently,electrical transport and alternating-current magnetic susceptibility measurements indicate the presence of three superconducting phases,which are embedded in separate crystallographic symmetries—the amorphous,tetragonal,and cubic ***,a high superconducting transition temperature of 12.3 K is observed in its recovered tetragonal phase during *** findings uncover a novel phase evolution path and elucidate a pressure-engineered structure-property relationship in vdW semiconductor *** results not only offer a new platform to explore the transformation between different structures and functionalities,but also provide new opportunities for the design and exploration of advanced devices based on vdW materials.

关键词： recrystallization transition amorphous

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Degradable magnesium alloy suture promotes fibrocartilaginous interface regeneration in a rat rotator cuff transosseous repair model

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Journal of Magnesium and Alloys 2024年第1期12卷 384-393页

作者： Baoxiang Zhang Wen Zhang Fei Zhang Chao Ning Mingyang An Ke Yang Lili Tan Qiang Zhang Department of sports Medicine Chinese PLA General HospitalBeijing 100853China Shi-changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China school of Materials science and Engineering University of Science and Technology of ChinaShenyang 110016China Medical school of PLA Beijing 100853China Institute of Orthopedics Chinese PLA General HospitalBeijing Key Lab of Regenerative Medicine in OrthopedicsKey Lab of Musculoskeletal Trauma&War Injuries of Chinese PLABeijing 100853China

Despite transosseous rotator cuff tear repair using sutures is widely accepted for tendon-bone fixation,the fibrocartilaginous enthesis regeneration is still hardly achieved with the traditional *** the present work,degradable magnesium(Mg)alloy wire was applied to suture supraspinatus tendon in a rat acute rotator cuff tear model with Vicryl Plus 4±0 absorbable suture as *** shoulder joint humerus-supraspinatus tendon complex specimens were retrieved at 4,8,and 12 weeks after *** Mg alloy suture groups showed better biomechanical properties in terms of ultimate load to *** observation showed that hyperplastic response of the scar tissue at the tendon-bone interface is progressively alleviated over time in the both Mg alloy suture and Vicryl suture *** the histological analysis,for Mg alloy suture groups,chondrocytes appear to proliferate at 4 weeks postoperatively,and the tendon-bone interface showed an orderly structural transition zone at 8 weeks *** collagenous fiber tended to be aligned and the tendon-bone interlocking structures apparently formed,where transitional structure from unmineralized fibrocartilage to mineralized fibrocartilage was closer to the native fibrocartilaginous *** vivo degradation of the magnesium alloy wire was completed within 12 *** results indicated that Mg alloy wire was promising as degradable suture with the potential to promotes fibrocartilaginous interface regeneration in rotator cuff repair.

关键词： Rotator cuff repair Mg alloy wire Tendon-bone healing Fibrocartilaginous interface

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高度灵活可控的多孔MOF膜用于高效药物释放

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science China Materials 2024年第5期67卷 1509-1520页

作者：李家馨鄢亚超房庆霖陈颖芝景启航 Hiang Kwee Lee 王鲁宁 school of Materials science and Engineering University of Science and Technology BeijingBeijing100083China Shunde graduate school of University of science and Technology Beijing FoshanGuangdong528399China school of Chemistry Chemical Engineering and BiotechnologyNanyang Technological University21 Nanyang LinkSingapore637371Singapore

具有生物力学和生化活性的敷料在伤口护理和皮肤组织再生中起着至关重要的作用.然而,机械失配和药物释放管理所涉及的问题限制了当前敷料的有效使用.在本工作中,我们报道了一种简单的策略,即采用聚偏二氟乙烯(PVDF)作为底物,通过嵌入不... 详细信息

具有生物力学和生化活性的敷料在伤口护理和皮肤组织再生中起着至关重要的作用.然而,机械失配和药物释放管理所涉及的问题限制了当前敷料的有效使用.在本工作中,我们报道了一种简单的策略,即采用聚偏二氟乙烯(PVDF)作为底物,通过嵌入不同尺寸的沸石咪唑酸盐框架(ZIF-8)种子,以推动具有均匀蜂窝结构的高柔性金属有机框架(MOF)复合膜的受控生长,用于药物负载和释放.以嵌入的种子为控制中心,形成的多孔膜具有约0.7-3μm的宽孔隙.这种可调节的微尺度孔与ZIF-8中的固有纳米孔不仅可以有效地提高抗炎类药物的负载(姜黄素,CCM),而且还能够快速并可控地释放药物,大大提高了抗菌活性,同时促进细胞生长.其中,在40 nm种子上生长的0.7μm多孔膜的表现优于其他蜂窝膜,与2μm多孔膜(相当于裸PVDF基质)相比,细胞增殖能力提高了约2倍,针对金黄色葡萄球菌(***)和大肠杆菌(***)的抗菌活性分别提高了5倍和2.4倍,是基底抗菌活性的5倍,这是因为这种最佳孔几何结构具有CCM和Zn2+释放特性的平衡效应.这种可控分层孔阵列膜的独特性质有望真正用于伤口愈合,同时也为生物医学设计提供了新的指导.

关键词： MOF membrane hierarchical pores controllable drug release cytocompatibility

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A Gaussian Noise-Based Algorithm for Enhancing Backdoor Attacks

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Computers, Materials & Continua 2024年第7期80卷 361-387页

作者： Hong Huang Yunfei Wang Guotao Yuan Xin Li school of Computer science and Engineering Sichuan University of Science&EngineeringYibin644000China

Deep Neural Networks(DNNs)are integral to various aspects of modern life,enhancing work ***-less,their susceptibility to diverse attack methods,including backdoor attacks,raises security *** aim to investigate backdoor attack methods for image categorization tasks,to promote the development of DNN towards higher *** on backdoor attacks currently faces significant challenges due to the distinct and abnormal data patterns of malicious samples,and the meticulous data screening by developers,hindering practical attack *** overcome these challenges,this study proposes a Gaussian Noise-Targeted Universal Adversarial Perturbation(GN-TUAP)*** approach restricts the direction of perturbations and normalizes abnormal pixel values,ensuring that perturbations progress as much as possible in a direction perpendicular to the decision hyperplane in linear *** limits anomalies within the perturbations improves their visual stealthiness,and makes them more challenging for defense methods to *** verify the effectiveness,stealthiness,and robustness of GN-TUAP,we proposed a comprehensive threat *** on this model,extensive experiments were conducted using the CIFAR-10,CIFAR-100,GTSRB,and MNIST datasets,comparing our method with existing state-of-the-art attack *** also tested our perturbation triggers using various defense methods and further experimented on the robustness of the triggers against noise filtering *** experimental outcomes demonstrate that backdoor attacks leveraging perturbations generated via our algorithm exhibit cross-model attack effectiveness and superior ***,they possess robust anti-detection capabilities and maintain commendable performance when subjected to noise-filtering methods.

关键词： Image classification model backdoor attack gaussian distribution Artificial Intelligence(AI)security

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Rotating magnetic field inhibits Aβ protein aggregation and alleviates cognitive impairment in Alzheimer’s disease mice

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Zoological Research 2024年第4期45卷 924-936页

作者： Ruo-Wen Guo Wen-Jing Xie Biao Yu Chao Song Xin-Miao Ji Xin-Yu Wang Mei Zhang Xin Zhang High Magnetic Field Laboratory CAS Key Laboratory of High Magnetic Field and Ion Beam Physical BiologyHefei Institutes of Physical ScienceChinese Academy of SciencesHefeiAnhui 230031China science Island Branch of graduate school University of Science and Technology of ChinaHefeiAnhui 230036China Institutes of Physical science and Information Technology Anhui UniversityHefeiAnhui 230601China school of Life sciences Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui 230026China

Amyloid beta(Aβ)monomers aggregate to form fibrils and amyloid plaques,which are critical mechanisms in the pathogenesis of Alzheimer’s disease(AD).Given the important role of Aβ1-42 aggregation in plaque formation,leading to brain lesions and cognitive impairment,numerous studies have aimed to reduce Aβaggregation and slow AD *** diphenylalanine(FF)sequence is critical for amyloid aggregation,and magnetic fields can affect peptide alignment due to the diamagnetic anisotropy of aromatic *** this study,we examined the effects of a moderate-intensity rotating magnetic field(RMF)on Aβaggregation and AD *** indicated that the RMF directly inhibited Aβamyloid fibril formation and reduced Aβ-induced cytotoxicity in neural cells in *** the AD mouse model APP/PS1,RMF restored motor abilities to healthy control levels and significantly alleviated cognitive impairments,including exploration and spatial and non-spatial memory *** examinations demonstrated that RMF reduced amyloid plaque accumulation,attenuated microglial activation,and reduced oxidative stress in the APP/PS1 mouse *** findings suggest that RMF holds considerable potential as a non-invasive,high-penetration physical approach for AD treatment.

关键词： lzheimer’s disease Rotating magnetic field Amyloid-β Cognitive function Alzheimer’s disease animal models

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KGTLIR:An Air Target Intention Recognition Model Based on Knowledge Graph and Deep Learning

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Computers, Materials & Continua 2024年第7期80卷 1251-1275页

作者： Bo Cao Qinghua Xing Longyue Li Huaixi Xing Zhanfu Song graduate school Air Force Engineering UniversityXi’an710051China Air Defense and Antimissile school Air Force Engineering UniversityXi’an710051China

As a core part of battlefield situational awareness,air target intention recognition plays an important role in modern air *** at the problems of insufficient feature extraction and misclassification in intention recognition,this paper designs an air target intention recognition method(KGTLIR)based on Knowledge Graph and Deep ***,the intention recognition model based on Deep Learning is constructed to mine the temporal relationship of intention features using dilated causal convolution and the spatial relationship of intention features using a graph attention ***,the accuracy,recall,and F1-score after iteration are introduced to dynamically adjust the sample weights to reduce the probability of *** that,an intention recognition model based on Knowledge Graph is constructed to predict the probability of the occurrence of different intentions of the ***,the results of the two models are fused by evidence theory to obtain the target’s operational *** show that the intention recognition accuracy of the KGTLIRmodel can reach 98.48%,which is not only better than most of the air target intention recognition methods,but also demonstrates better interpretability and trustworthiness.

关键词： Dilated causal convolution graph attention mechanism intention recognition air targets knowledge graph

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Asymptotic Inference in the Random Coefficient Autoregressive Model with Time-functional Variance Noises

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Acta Mathematicae Applicatae Sinica 2024年第2期40卷 320-346页

作者： En-wen ZHU Zi-wei DENG Han-jun ZHANG Jun CAO Xiao-hui LIU Department of Mathematics and Statistics Changsha University of Science and TechnologyChangsha 410114China school of Mathematics and Computational science Xiangtan UniversityXiangtan 411105China school of Statistics and Data science and Key Laboratory of Data Science in Finance and EconomicsJiangxi University of Finance and EconomicsNanchang 330013China

This paper considers the random coefficient autoregressive model with time-functional variance noises,hereafter the RCA-TFV *** first establish the consistency and asymptotic normality of the conditional least squares estimator for the constant *** semiparametric least squares estimator for the variance of the random coefficient and the nonparametric estimator for the variance function are constructed,and their asymptotic results are reported.A simulation study is presented along with an analysis of real data to assess the performance of our method in finite samples.

关键词： random coefficient autoregressive model time-functional variance conditional least squares semiparametric least squares

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Preparation and performance improvement of a dual-component microcapsule self-healing system for silicone rubber insulating material

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High Voltage 2024年第2期9卷 453-465页

作者： Mingzhe Li Bin Cao Fanghui Yin Hongwei Mei Liming Wang Engineering Laboratory of Power Equipment Reliability in Complicated Coastal Environments Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhenChina

A key factor limiting the development of silicone rubber insulating materials is their short service life in harsh operating *** establishment of a self-healing system is desired to improve the long-term operational performance of silicone rubber and effectively extend its service *** this study,poly(urea-formaldehyde)microcapsules containing polydimethylsiloxane healing agents are prepared and a dual-component microcapsule self-healing system for silicone rubber material is established and *** addition,the key factors affecting the self-healing performance(such as microcapsule size,rupture rate,and microcapsule doping amount)are *** is found that when SYLGARDTM 184 is used as the healing agent and matrix,with a 4:6(A:B)doping ratio of dual-component microcapsules and 20 phr doping amount,the self-healing efficiency is approximately 51%.Furthermore,increasing the microcapsule rupture rate and the interface strength between the healing agent and the matrix can effectively improve the self-healing *** relationships between key factors and self-healing performance are theoretically *** on the relationships,the microcapsule self-healing system can be appropriately *** results of this paper can provide a reference for the development of long-life silicone rubber insulating materials.

关键词： service rubber performance

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Wavelength calibration and spectral analysis of vacuum ultraviolet spectroscopy in EAST

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Plasma science and Technology 2024年第8期26卷 37-43页

作者：计华健张洪明吕波 Cheonho BAE 何梁林子超尹相辉沈永才戴舒宇 Institute of Plasma Physics Chinese Academy of SciencesHefei 230031People’s Republic of China science Island Branch Graduate SchoolUniversity of Science and Technology of ChinaHefei 230031People’s Republic of China College of Electrical Engineering University of South ChinaHengyang 421001People’s Republic of China school of Physics and Materials Engineering Hefei Normal UniversityHefei 230601People’s Republic of China school of Physics Dalian University of TechnologyDalian 116024People’s Republic of China

A vacuum ultraviolet(VUV)spectroscopy with a focal length of 1 m has been engineered specifically for observing edge impurity emissions in Experimental Advanced Superconducting Tokamak(EAST).In this study,wavelength calibration for the VUV spectroscopy is achieved utilizing a zinc *** grating angle and charge-coupled device(CCD)position are carefully calibrated for different wavelength *** wavelength calibration of the VUV spectroscopy is crucial for improving the accuracy of impurity spectral data,and is required to identify more impurity spectral lines for impurity transport *** spectra of EAST plasmas have also been obtained in the wavelength range of 50–300 nm with relatively high spectral *** is found that the impurity emissions in the edge region are still dominated by low-Z impurities,such as carbon,oxygen,and nitrogen,albeit with the application of fulltungsten divertors on the EAST tokamak.

关键词： vacuum ultraviolet spectroscopy wavelength calibration impurity spectra

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Recommendation Method for Contrastive Enhancement of Neighborhood Information

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Computers, Materials & Continua 2024年第1期78卷 453-472页

作者： Hairong Wang Beijing Zhou Lisi Zhang He Ma school of Computer science and Engineering North Minzu UniversityNingxia750021China

Knowledge graph can assist in improving recommendation performance and is widely applied in various person-alized recommendation ***,existing knowledge-aware recommendation methods face challenges such as weak user-item interaction supervisory signals and noise in the knowledge *** tackle these issues,this paper proposes a neighbor information contrast-enhanced recommendation method by adding subtle noise to construct contrast views and employing contrastive learning to strengthen supervisory signals and reduce knowledge ***,first,this paper adopts heterogeneous propagation and knowledge-aware attention networks to obtain multi-order neighbor embedding of users and items,mining the high-order neighbor informa-tion of users and ***,in the neighbor information,this paper introduces weak noise following a uniform distribution to construct neighbor contrast views,effectively reducing the time overhead of view *** paper then performs contrastive learning between neighbor views to promote the uniformity of view information,adjusting the neighbor structure,and achieving the goal of reducing the knowledge noise in the knowledge ***,this paper introduces multi-task learning to mitigate the problem of weak supervisory *** validate the effectiveness of our method,experiments are conducted on theMovieLens-1M,MovieLens-20M,Book-Crossing,and Last-FM *** results showthat compared to the best baselines,our method shows significant improvements in AUC and F1.

关键词： Contrastive learning knowledge graph recommendation method

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