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3D interlocked all-textile structured triboelectric pressure sensor for accurately measuring epidermal pulse waves in amphibious environments

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Nano Research 2024年第3期17卷 1923-1932页

作者： Shaobo Si Chenchen Sun Yufen Wu Jingjing Li Han Wang Yinggang lin Jin Yang Zhong lin Wang Department of Optoelectronic Engineering Key Laboratory of Optoelectronic Technology and Systems Ministry of EducationChongqing UniversityChongqing 400044China College of Physics and Electronic Engineering Chongqing Normal UniversityChongqing 401331China Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of SciencesBeijing 100083China School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332USA

The performance degradation and even damage of the e-textiles caused by sweat,water,or submersion during all-weather health monitoring are the main reasons that e-textiles have not been commercialized and routinized so ***,we developed an amphibious,high-performance,air-permeable,and comfortable all-textile triboelectric sensor for continuous and precise measurement of epidermal pulse waves during full-day *** on the principle of preparing gas by acid-base neutralization reaction,a one-piece preparation process of amphibious conductive yarn(ACY)with densely porous structures is *** innovative three-dimensional(3D)interlocking fabric knitted from ACYs(0.6 mm in diameter)and polytetrafluoroethylene yarns exhibit high sensitivity(0.433 V·kPa^(-1)),wide bandwidth(up to 10 Hz),and stability(>30,000 cycles).With these benefits,98.8%agreement was achieved between wrist pulse waves acquired by the sensor and a high-precision laser ***,the polytetrafluoroethylene yarn with good compression resilience provides sufficient mechanical support for the contact separation of the ***,the unique skeletonized design of the 3D interlocking structure can effectively relieve the water pressure on the sensor surface to obtain stable and accurate pulse waves(underwater depth of 5 cm).This achievement represents an important step in improving the practicality of e-textiles and early diagnosis of cardiovascular diseases.

关键词： triboelectric pressure sensor amphibious fabric interlocking fabric pulse wave measurement one-piece preparation method

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A Spleen Tyrosine Kinase’s Sky in Neuronal Degeneration

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Neuroscience Bulletin 2024年第2期40卷 273-276页

作者： Wan-Yun Zhang Sen lin Department of Neurology Xinqiao HospitalThe Second Afliated HospitalArmy Medical UniversityChongqing 400042China Chongqing Institute for Brain and Intelligence Guangyang Bay LaboratoryChongqing 400064China

With the growing elderly population,neurodegenerative disorders like Alzheimer's disease(AD)are emerging as a significant public health *** is widely acknowledged in the scientific community that the accumulation of neurotoxic aggregates,such as amyloid beta(Aβ),within the central nervous system is a major factor in the development of these ***,human genome-wide association studies have identified mutations in microglial receptors that may be linked to a number of neurodegenerative diseases[1].

关键词： Aβ Spleen Alzheimer

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Normal sperm head morphometric reference values in fertile Asian males

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Asian Journal of Andrology 2024年第3期26卷 315-320页

作者： Ye-lin Jia Ying-Bi Wu lin Yu Yan Zheng Ting-Ting Yang Yan-Yun Wang Bin Zhou lin Zhang Fu-Ping Li Laboratory of Andrology West China Second University Hospital Human Sperm BankChengdu 610000China Laboratory of Molecular Translational Medicine Center for Translational MedicineChengdu 610061China Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University) Ministry of EducationChengdu 610061China NHC Key Laboratory of Chronobiology West China Second University HospitalSichuan UniversityChengdu 610000China

Sperm head morphology is crucial for male factor infertility diagnosis and assessment of male reproductive *** are available to analyze sperm head morphology,but they are limited by poor methodology comparability and *** study aimed to explore comprehensive and new normal morphometric reference values for spermatozoa heads infertile Asian *** automated sperm morphology analysis system captured 23152 stained spermatozoa from confirmed *** these samples,1856 sperm head images were annotated by three experienced laboratory technicians as“normal”.Weemployed 14 novel morphometric features to describe sperm head size(head length,head width,length/width ratio,and girth),shape(ellipse intersection over union,girth intersection over union,short-axis symmetry,and long-axis symmetry),area(head,acrosome,postacrosomal areas,and acrosome area ratio),and degrees of acrosome and nuclear *** straight-forwardmethod for the morphometric analysis of sperm by accurate visual measurements is clinically *** measured parameterspresent valuable information to establish morphometric reference intervals for normal sperm heads in fertile Asian *** detailed measurement data will be valuable for interlaboratory comparisons and technician *** vitro fertilizationand andrology laboratory technicians can use these parameters to perform objective morphology evaluation when assessing malefertilization potential.

关键词： fertile Asian males head morphometric reference value normal spermatozoa

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Anchoring mechanical characteristics of Ductile-Expansion bolt

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International Journal of Mining Science and Technology 2024年第8期34卷 1115-1134页

作者： Yu Chen Wang Liu linchong Huang Hang lin Yixian Wang Yanlin Zhao Cungang lin State Key Laboratory for Tunnel Engineering Guangzhou 510275China Guangdong Research Center for Underground Space Exploitation Technology Guangdong Key Laboratory of Marine Civil EngineeringSchool of Civil EngineeringSun Yat-sen UniversityGuangzhou 510275China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China School of Resources and Safety Engineering Central South UniversityChangsha 410083China School of Civil Engineering Hefei University of TechnologyHefei 230009China School of Energy and Safety Engineering Hunan University of Science and TechnologyXiangtan 411201China

The application of ductile rock bolts has been a crucial method for solving the problems of large deformations,energy absorption and stability control issues in deep rock *** study the anchoring mechanism of the key expansive structure,this paper proposes a novel type of bolt—the Ductile-Expansion bolt,and conducts research on anchoring mechanics,energy absorption characteristics,and failure modes of the *** addition,this paper defines the concept of load-volume ratio of metal rock bolts and proves the Ductile-Expansion bolt is capable of better improving the unit volume bearing capacity of the bolt ***,laboratory and field tests verify the Ductile-Expansion bolt had better anchoring effect than the traditional rebar bolt,with the expansion structure favorably enhancing the ductility and energy absorption performance of the ***,this paper microscopically analyzes the crack propagation and distribution morphology of the bolts by establishing a 3D coupled numerical model based on *** results illustrate the interface at the variable diameter of the Ductile-Expansion bolt serves as the transition zone between high and low stress *** expansion structure can impose radial compression on the medium around the bolt,which can improve the bolt anchorage performance.

关键词： Ductile-Expansion bolt Pull-out test Peak load Anchoring mechanical characteristics

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Multifunctional MOF@COF Nanoparticles Mediated Perovskite Films Management Toward Sustainable Perovskite Solar Cells

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Nano-Micro Letters 2024年第9期16卷 195-208页

作者： Yayu Dong Jian Zhang Hongyu Zhang Wei Wang Boyuan Hu Debin Xia Kaifeng lin lin Geng Yulin Yang MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001HeilongjiangPeople’s Republic of China School of Materials Science and Engineering East China Jiaotong UniversityNanchang 330013JiangxiPeople’s Republic of China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001HeilongjiangPeople’s Republic of China

Although covalent organic frameworks(COFs)with highπ-conjugation have recently exhibited great prospects in perovskite solar cells(PSCs),their further application in PSCs is still hindered by face-to-face stacking and aggregation ***,metal-organic framework(MOF-808)is selected as an ideal platform for the in situ homogeneous growth of a COF to construct a core-shell MOF@COF nanoparticle,which could effectively inhibit COF stacking and *** synergistic intrinsic mechanisms induced by the MOF@COF nanoparticles for reinforcing intrinsic stability and mitigating lead leakage in PSCs have been *** complementary utilization ofπ-conjugated skeletons and nanopores could optimize the crystallization of large-grained perovskite films and eliminate *** resulting PSCs achieve an impressive power conversion efficiency of 23.61%with superior open circuit voltage(1.20 V)and maintained approximately 90%of the original power conversion efficiency after 2000 h(30-50%RH and 25-30℃).Benefiting from the synergistic effects of the in situ chemical fixation and adsorption abilities of the MOF@COF nanoparticles,the amount of lead leakage from unpackaged PSCs soaked in water(<5 ppm)satisfies the laboratory assessment required for the Resource Conservation and Recovery Act Regulation.

关键词： Perovskite solar cells Covalent organic frameworks Metal-organic frameworks Lead leakage Stability

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A pair of nuclear factor Y transcription factors act as positive regulators in jasmonate signaling and disease resistance in Arabidopsis

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Journal of Integrative Plant Biology 2024年第9期66卷 2042-2057页

作者： Chuyu lin Chenghao Lan Xiaoxiao Li Wei Xie Fucheng lin Yan Liang Zeng Tao Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects Institute of BiotechnologyZhejiang UniversityHangzhou 310058China State Key Laboratory for Managing Biotic and Chemical Treats to the Quality and Safety of Agro‐products Institute of BiotechnologyZhejiang UniversityHangzhou 311400China

The plant hormone jasmonate(JA)regulates plant growth and immunity by orchestrating a genome-wide transcriptional *** the resting stage,JASMONATE-ZIM DOMAIN(JAZ)proteins act as main repressors to regulate the expression of JA-responsive genes in the JA signaling ***,the mechanisms underlying de-repression of JA-responsive genes in response to JA treatment remain ***,we report two nuclear factor Y transcription factors NF-YB2 and NF-YB3(thereafter YB2 and YB3)play key roles in such de-repression in ***2 and YB3 function redundantly and positively regulate plant resistance against the necrotrophic pathogen Botrytis cinerea,which are specially required for transcriptional activation of a set of JA-responsive genes following ***,YB2 and YB3 modulated their expression through direct occupancy and interaction with histone demethylase Ref6 to remove repressive histone ***,YB2 and YB3 physically interacted with JAZ repressors and negatively modulated their abundance,which in turn attenuated the inhibition of JAZ proteins on the transcription of JA-responsive genes,thereby activating JA response and promoting disease ***,our study reveals the positive regulators of YB2 and YB3 in JA signaling by positively regulating transcription of JA-responsive genes and negatively modulating the abundance of JAZ proteins.

关键词： histone demethylase jasmonate response JAZ repressor necrotrophic resistance nuclear factor

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An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 577-591页

作者： Qing Zhu linlin Gu Huijie lin Electricity Technology Branch Nari Technology Co.Ltd.Nanjing211106China NARI-TECH Nanjing Control Systems Co. Ltd.Nanjing211106China

With the rapid development of electric power systems,load estimation plays an important role in system operation and ***,load estimation techniques contain traditional,time series,regression analysis-based,and machine learning-based *** the machine learning-based method can lead to better performance,in this paper,a deep learning-based load estimation algorithm using image fingerprint and attention mechanism is ***,an image fingerprint construction is proposed for training *** the data preprocessing,the training data matrix is constructed by the cyclic shift and cubic spline ***,the linear mapping and the gray-color transformation method are proposed to form the color image ***,a convolutional neural network(CNN)combined with an attentionmechanism is proposed for training performance *** last,an experiment is carried out to evaluate the estimation *** with the support vector machine method,CNN method and long short-term memory method,the proposed algorithm has the best load estimation performance.

关键词： Load estimation deep learning attention mechanism image fingerprint construction

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Psychological intervention based on social cognitive theory: Treating pain, anxiety, and depression in perioperative patients

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World Journal of Psychiatry 2024年第8期14卷 1199-1207页

作者： Hai-Jian Mao lin-Fei Wang Chun lin Department of Surgical Anesthesiology The First People’s Hospital of Lin’an DistrictHangzhouHangzhou 311300Zhejiang ProvinceChina Department of Gastrointestinal Surgery Hangzhou First People’s HospitalHangzhou 310006Zhejiang ProvinceChina Department of Comprehensive Intervention The First People’s Hospital of Lin’an DistrictHangzhouHangzhou 311300Zhejiang ProvinceChina

BACKGROUND Surgery is an effective method for treating certain *** such as disease,preoperative fear and tension,surgical stress,postoperative pain,and related complications directly affect the smooth progression and outcome of *** may experience a series of psychological and physiological changes during the perioperative period,resulting in anxiety and depression,which may reduce the pain threshold and worsen their *** We enrolled 200 patients who underwent surgical care at The First People’s Hospital of lin’an District,Hangzhou between January and December *** were categorized into a routine intervention group(n=103)and a psychological intervention group(n=97),based on the intervention strategies *** assessment tools,including the self-rating anxiety scale(SAS),the self-rating depression scale(SDS),and the Connor–Davidson Resilience scale,were used to measure patients’negative states and *** pre-and post-intervention scores for these metrics in the two groups were then *** In the psychological intervention group,the SAS and SDS scores(31.56±5.18 and 31.46±4.57,respectively)were significantly reduced compared to the routine intervention group(P<0.05).The visual analog scale pain scores at 12 and 24 hours after intervention(6.85±1.21,4.24±0.72)were notably higher than those in the routine intervention group(P<0.05).The psychological intervention group also demonstrated superior scores in perseverance(36.08±3.29),self-reliance(22.63±2.91),optimism(11.42±1.98),and resilience(70.13±5.37),compared to the routine intervention group(P<0.05).Additionally,the psychological intervention group’s confrontation score(23.16±4.29)was higher(P<0.05).This group also reported lower scores in avoidance(9.28±1.94)and yielding(6.19±1.92)(P<0.05).Lastly,the Short Form 36 Health Survey scores were significantly higher in the psychological intervention group,indicating a better quality of life(P<0.05).CONCLUSION

关键词： Perioperative period Social cognitive theory Psychological intervention Pain Anxiety and depression

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Long-term Evolution of Solar Activity and Prediction of the Following Solar Cycles

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Research in Astronomy and Astrophysics 2024年第3期24卷 194-204页

作者： Pei-Xin Luo Bao-lin Tan National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China

Solar activities have a great impact on modern high-tech systems,such as human aerospace activities,satellite communication and navigation,deep space exploration,and related scientific ***,studying the long-term evolution trend of solar activity and accurately predicting the future solar cycles are highly *** on the wavelet transform and empirical function fitting of the longest recorded data of the annual average relative sunspot number(ASN)series of 323 yr to date,this work decisively verifies the existence of the solar century cycles and confirms that its length is about 104.0 yr,and the magnitude has a slightly increasing trend on the timescale of several hundred *** on this long-term evolutionary trend,we predict solar cycles 25 and26 by using phase similar prediction *** for solar cycle 25,its maximum ASN will be about146.7±33.40,obviously stronger than solar cycle *** peak year will occur approximately in 2024,and the period will be about 11±1 *** for solar cycle 26,it will start around 2030,and reach its maximum between2035 and 2036,with maximum ASN of about 133.0±3.200,and period of about 10 yr.

关键词： Sun activity-Sun evolution-(Sun) sunspots-methods data analysis

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Machine Learning Security Defense Algorithms Based on Metadata Correlation Features

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Computers, Materials & Continua 2024年第2期78卷 2391-2418页

作者： Ruchun Jia Jianwei Zhang Yi lin College of Computer Science Sichuan UniversityChengdu610065China

With the popularization of the Internet and the development of technology,cyber threats are increasing day by *** such as malware,hacking,and data breaches have had a serious impact on *** network security environment in the era of big data presents the characteristics of large amounts of data,high diversity,and high real-time *** security defense methods and tools have been unable to cope with the complex and changing network security *** paper proposes a machine-learning security defense algorithm based on metadata association *** control over unauthorized users through privacy,integrity,and *** user model is established and the mapping between the user model and the metadata of the data source is *** analyzing the user model and its corresponding mapping relationship,the query of the user model can be decomposed into the query of various heterogeneous data sources,and the integration of heterogeneous data sources based on the metadata association characteristics can be *** and classify customer information,automatically identify and perceive sensitive data,build a behavior audit and analysis platform,analyze user behavior trajectories,and complete the construction of a machine learning customer information security defense *** experimental results show that when the data volume is 5×103 bit,the data storage integrity of the proposed method is 92%.The data accuracy is 98%,and the success rate of data intrusion is only 2.6%.It can be concluded that the data storage method in this paper is safe,the data accuracy is always at a high level,and the data disaster recovery performance is *** method can effectively resist data intrusion and has high air traffic control *** can not only detect all viruses in user data storage,but also realize integrated virus processing,and further optimize the security defense effect of user big data.

关键词： Data-oriented architecture metadata correlation features machine learning security defense data source integration

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