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Machine learning(ML)-assisted optimization doping of KI in MAPbI_(3) solar cells

Rare Metals 2021年第7期40卷 1698-1707页

作者： Sheng Jiang Cun-Cun Wu Fan Li Yu-Qing Zhang Ze-Hao Zhang Qiao-Hui Zhang Zhi-Jian Chen Bo Qu Li-Xin Xiao Min-Lin Jiang Institute for Advanced Study Nanchang UniversityJiangxi 330031China School of Materials Science and Engineering Nanchang UniversityJiangxi 330031China State Key Laboratory for Artificial Microstructures and Mesoscopic Physics Department of PhysicsPeking UniversityBeijing 100871China

Perovskite solar cells have drawn extensive attention in the photovoltaic(PV)field due to their rapidly increasing ***,additives have become necessary for the fabrication of highly efficient perovskite solar cells(PSCs).Additionally,alkali metal doping has been an effective method to decrease the defect density in the perovskite ***,the traditional trial-and-error method to find the optimal doping concentration is timeconsuming and needs a significant amount of raw *** this work,in order to explore new ways of facilitating the process of finding the optimal doping concentration in perovskite solar cells,we applied a machine learning(ML)approach to assist the optimization of KI doping in MAPbI_(3) solar *** the aid of ML technique,we quickly found that 3%KI doping could further improve the efficiency of MAPbI_(3) solar *** a result,a highest efficiency of 20.91%has been obtained for MAPbI_(3) solar cells.

关键词： Perovskite solar cell Machine learning KI Doping

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Repetition Rate Locking of Mode-Locked Laser with digital locking electronics at 50 MHz 15

Repetition Rate Locking of Mode-Locked Laser with digital lo...

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15th International Conference on Information Optics and Photonics, CIOP 2024

作者： Luan, Bingbing Xing, Sida Chen, Weibiao Shanghai Institute of Optics and Fine Mechanics Shanghai201800 China Wangzhijiang Innovation Center for Laser Aerospace Laser Technology and System Department Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou310024 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China

ISBN: (数字)9781510686175

ISBN: (纸本)9781510686168

This study presents the development of a digital locking system for a mode-locked laser with a 50MHz repetition rate. Compared to traditional analog circuit locking systems, our digital approach provides a routine to significantly reduce the system footprint and complexity while achieving similar locking performance. Our digital laser servo provides a two-order-of-magnitude reduction in Allan deviation compared to the free-running state of the laser. © 2024 SPIE.

关键词： Laser mode locking

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Proposal of a novel peeling of nano-particle (PNP) process for localized material removal on a hard material surface by controllable magnetic fields 22

Proposal of a novel peeling of nano-particle (PNP) process f...

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22nd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2022

作者： Permpatdechakul, Thitipat Khajornrungruang, Panart Suzuki, Keisuke Kutomi, Shotaro Graduate School of Computer Science and System Engineering Mechanical Information Science and Technology Course Kyushu Institute of Technology Fukuoka Japan Department of Intelligent and Control Systems Avanced Mechanical Division Kyushu Institute of Technology Fukuoka Japan School of Computer Science and System Engineering Advanced Mechanical Course Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)9781998999118

This article proposes a novel Peeling of Nano-Particle (PNP) process to locally remove material on a hard material surface using controllable magnetic fields. Fe3O4 particles in the size range of 50-100 nm in aqueous solution (pH value 11 adjusted by KOH) were magnetically controlled to adhere and remove from a 4H-SiC surface by two electromagnetic coils, which were sandwiched between the substrate. The particle controlling phenomenon on the surface was experimentally observed and verified by our developed apparatus applying an evanescent field. According to the results, particles could be controlled to approach and remove from the substrate surface with 12mT of magnetic field at the selective area on the substrate surface to realise the proposed PNP process. © European Society for Precision engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Magnetic fields

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Insurance Plan for Service Assurance in Cloud Computing Market with Incomplete Information

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Journal of Communications and Information Networks 2022年第1期7卷 11-22页

作者： Yanru Zhang Chunxiao Jiang Nguyen H.Tran Shengrong Bu FeiRichard Yu Zhu Han College of Computer Science and Engineering the University of Electronic Science and Technology of ChinaChengdu 611731China Shenzhen Institute for Advanced Study UESTCLonghuaShenzhen 518110China Tsinghua Space Center Tsinghua UniversityBeijing 10084China School of Computer Science the University of SydneySydneyNew South WalesAustralia Department of Engineering Brock UniversityONCanada School of Information Technology Depart.of Systems and Computer EngineeringCarleton UniversityOttawa K1S 5B6ONCanada Department of Electrical and Computer Engineering the University of HoustonHouston 77004TXUSA

Nowadays,cloud computing has been identified as new opportunities for migrating to the expected agility,reuse,and adaptive capabilities that can support the ever changing IT trends and ***,the rapid evolution of those technologies also comes with open issues such as security,privacy,integrity,quality of services,and their possible detrimental *** this work,the concept of insurance is introduced to compensate the cloud computing customers when encountering those failures if service providers(SPs)have insurance ***,we consider the situation when the insurer is unable to see the system failure risk levels of the SPs,which is usually seen as an incomplete information market,in contrast with the optimal situation in a complete information ***,an insurance-based cloud computing architecture is proposed to build a monetary credit system in which the cloud computing SP pays a premium for a certain coverage to the ***,problem is formulated to solve the optimal insurance plan in complete and incomplete information markets,together with detail analysis of insurance policies in both cases are ***,simulation results show the properties of the two insurance plans and parameters that affect the design of the insurance plan.

关键词： service assurance cloud computing market incomplete information game theory insurance plan

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Sodium dodecyl sulfate‐coated silver nanoparticles accelerate antimicrobial potentials by targeting amphiphilic membranes

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mLife 2024年第4期3卷 551-564页

作者： Xiuyan Jin Na Peng Aoran Cui Yue Liu Xianqi Peng Linlin Huang Abdelaziz Ed‐Dra Fang He Yan Li Shikuan Yang Min Yue Department of Veterinary Medicine Zhejiang University College of Animal ScienceHangzhouChina School of Materials Science and Engineering Institute for Composites Science InnovationZhejiang UniversityHangzhouChina Laboratory of Engineering and Applied Technologies Higher School of TechnologyM'ghila University CampusSultan Moulay Slimane UniversityBeni MellalMorocco Laboratory of Animal Virology of Ministry of Agriculture Zhejiang UniversityHangzhouChina Hainan Institute Zhejiang UniversitySanyaChina State Key Laboratory for Diagnosis and Treatment of Infectious Diseases National Clinical Research Center for Infectious DiseasesNational Medical Center for Infectious DiseasesThe First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhouChina Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhouChina

Compelling concerns about antimicrobial resistance and the emergence of multidrug‐resistant pathogens call for novel strategies to address these *** show promising antimicrobial activities;however,their actions are hindered primarily by the bacterial hydrophilic–hydrophobic *** overcome this,we developed a method of electrochemically anchoring sodium dodecyl sulfate(SDS)coatings onto silver nanoparticles(AgNPs),resulting in improved antimicrobial *** then investigated the antimicrobial mechanisms and developed therapeutic *** demonstrated SDS‐coated AgNPs with anomalous dispersive properties capable of dispersing in both polar and nonpolar solvents and,further,detected significantly higher bacteriostatic and bactericidal effects compared to silver ions(Ag^(+)).Cellular assays suggested multipotent disruptions targeting the bacterial membrane,evidenced by increasing lactate dehydrogenase,protein and sugar leakage,and consistent with results from the transcriptomic ***,the amphiphilic characteristics of the AgNPs maintained robust antibacterial activities for a year at various temperatures,indicating long‐term efficacy as a potential *** a murine model,the AgNPs showed considerable biocompatibility and could alleviate fatal Salmonella ***,by gaining amphiphilic properties from SDS,we offer novel AgNPs against bacterial infections combined with long‐term and cost‐effective strategies.

关键词： amphiphilic properties antimicrobial agents antimicrobial resistance feed additive silver nanoparticles

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Depth-Threshold Circuits vs. Depth-(+1) AND-OR Trees 55

Depth-Threshold Circuits vs. Depth-(+1) AND-OR Trees

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55th Annual ACM Symposium on Theory of Computing, STOC 2023

作者： Hatami, Pooya Hoza, William M. Tal, Avishay Tell, Roei Ohio State University Department of Computer Science and Engineering ColumbusOH United States University of California Simons Institute for the Theory of Computing BerkeleyCA United States University of California Department of Electrical Engineering and Computer Sciences BerkeleyCA United States Institute for Advanced Study School of Mathematics PrincetonNJ United States Rutgers University DIMACS PiscatawayNJ United States

ISBN: (纸本)9781450399135

For any n ,• and d = o(loglog(n)), we prove that there is a Boolean function F on n bits and a value γ= 2-(d) such that F can be computed by a uniform depth-(d + 1) AC0 circuit with O(n) wires, but F cannot be computed by any depth-d TC0 circuit with n1 +-3 wires. This bound matches the current state-of-the-art lower bounds for computing explicit functions by threshold circuits of depth d > 2, which were previously known only for functions outside AC0 such as the parity function. Furthermore, in our result, the AC0 circuit computing F is a monotone∗read-once formula∗(i.e., an AND-OR tree), and the lower bound holds even in the average-case setting with respect to advantage n-3. At a high level, our proof strategy combines two prominent approaches in circuit complexity from the last decade: The celebrated∗random projections∗method of Håstad, Rossman, Servedio, and Tan (J. ACM 2017), which was previously used to show a tight average-case depth hierarchy for AC0;and the line of works analyzing the effect of∗random restrictions∗on threshold circuits. We show that under a modified version of Håstad, Rossman, Servedio, and Tan's projection procedure, any depth-d threshold circuit with n1 +-3 wires simplifies to a near-trivial function, whereas an appropriately parameterized AND-OR tree of depth d + 1 maintains structure. © 2023 Owner/Author.

关键词： Wire

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Surface defect engineered-Mg-based implants enable the dual functions of superhydrophobic and synergetic photothermal/chemodynamic therapy

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Bioactive Materials 2023年第12期30卷 15-28页

作者： Dongdong Zhang Ru Xu Shuhan Chen Huihui Du Shi Qian Feng Peng Xuanyong Liu State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai200050China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing100049China Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma The University of Hong Kong Shenzhen HospitalShenzhenChina Center for Human Tissues and Organs Degeneration Shenzhen Institutes of Advanced TechnologyChinese Academy of ScienceShenzhen518055PR China Medical Research Institute Department of OrthopedicsGuangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern MedicalUniversityGuangzhou510080China GuangDong Engineering Technology Research Center of Functional Repair of Bone Defects and Biomaterials Guangzhou510080China School of Chemistry and Materials Science Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of Sciences1 Sub-lane XiangshanHangzhou310024China

Promoting metallic magnesium(Mg)-based implants to treat bone diseases in clinics,such as osteosarcoma and bacterial infection,remains a challenging ***,an iron hydroxide-based composite coating with a twostage nanosheet-like structure was fabricated on Mg alloy,and this was followed by a thermal reduction treatment to break some of the surface Fe–OH *** coating demonstrated three positive changes in properties due to the ***,the removal of–OH made the coating superhydrophobic,and it had self-cleaning and antifouling *** is beneficial for keeping the implants clean and for anti-corrosion before implantation into the human ***,the superhydrophobicity could be removed by immersing the implant in a 75%ethanol solution,to further facilitate biological action during ***,the color of the coating changed from yellow to brown-black,leading to an increase in the light absorption,which resulted in an excellent photothermal ***,the defects increased the Fe2+content in the coating and highly improved peroxidase ***,the defect coating exhibited synergistic photothermal/chemodynamic therapeutic effects for bacteria and ***,the coating substantially enhanced the anti-corrosion and biocompatibility of the Mg ***,this study offers a novel multi-functional Mg-based implant for osteosarcoma therapy.

关键词： Magnesium-based implants Surface defects Superhydrophobic Anti-bacterial Anti-tumor

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Predicting CircRNA-Disease Associations Based on Improved Weighted Biased Meta-Structure

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Journal of Computer science & Technology 2021年第2期36卷 288-298页

作者： Xiu-Juan Lei Chen Bian Yi Pan School of Computer Science Shaanxi Normal UniversityXi'an 710119China School of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Department of Computer Science Georgia State UniversityAtlantaGA 30302U.S.A

Circular RNAs(circRNAs)are RNAs with a special closed loop structure,which play important roles in tumors and other *** to the time consumption of biological experiments,computational methods for predicting associations between circRNAs and diseases become a better *** the limited number of verified circRNA-disease associations into account,we propose a method named CDWBMS,which integrates a small number of verified circRNA-disease associations with a plenty of circRNA information to discover the novel circRNA-disease *** adopts an improved weighted biased meta-structure search algorithm on a heterogeneous network to predict associations between circRNAs and *** terms of leave-one-out-cross-validation(LOOCV),10-fold cross-validation and 5-fold cross-validation,CDWBMS yields the area under the receiver operating characteristic curve(AUC)values of 0.9216,0.9172 and 0.9005,***,case studies show that CDWBMS can predict unknow circRNA-disease *** conclusion,CDWBMS is an effective method for exploring disease-related circRNAs.

关键词： circular RNA(circRNA) circRNA-disease association meta-structure heterogeneous network

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A CRISPR/Cas12a-empowered surface plasmon resonance platform for rapid and specific diagnosis of the Omicron variant of SARS-CoV-2

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National science Review 2022年第8期9卷 100-109页

作者： Zhi Chen Jingfeng Li Tianzhong Li Taojian Fan Changle Meng Chaozhou Li Jianlong Kang Luxiao Chai Yabin Hao Yuxuan Tang Omar A.Al-Hartomy Swelm Wageh Abdullah G.Al-Sehemi Zhiguang Luo Jiangtian Yu Yonghong Shao Defa Li Shuai Feng William J.Liu Yaqing He Xiaopeng Ma Zhongjian Xie Han Zhang Shenzhen Engineering Laboratory of Phosphorene and Optoelectronics International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Shenzhen Institute of Translational Medicine Department of Otolaryngology Shenzhen Second People’s Hospital the First Affiliated Hospital Institute of Microscale Optoelectronics Shenzhen University Shenzhen International Institute for Biomedical Research Shenzhen Han’s Tech Limited Company Shenzhen Metasensing Tech Limited Company Department of Physics Faculty of Science King Abdulaziz University Research Center for Advanced Materials Science (RCAMS) King Khalid University Department of Chemistry College of Science King Khalid University Zhongmin (Shenzhen) Intelligent Ecology Co.Ltd Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Department of Laboratory Medicine Shenzhen Children’s Hospital Optoelectronics Research Center School of Science Minzu University of China NHC Key Laboratory of Biosafety National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and Prevention Research Unit of Adaptive Evolution and Control of Emerging Viruses Chinese Academy of Medical Sciences Institute of Pathogenic Organism Shenzhen Center for Disease Control and Prevention Respiratory Department Shenzhen Children’s Hospital Institute of Pediatrics Shenzhen Children’s Hospital

The outbreak of the COVID-19 pandemic was partially due to the challenge of identifying asymptomatic and presymptomatic carriers of the virus, and thus highlights a strong motivation for diagnostics with high sensitivity that can be rapidly deployed. On the other hand, several concerning SARS-Co V-2 variants,including Omicron, are required to be identified as soon as the samples are identified as ‘positive'.Unfortunately, a traditional PCR test does not allow their specific identification. Herein, for the first time,we have developed MOPCS(Methodologies of Photonic CRISPR Sensing), which combines an optical sensing technology-surface plasmon resonance(SPR) with the ‘gene scissors' clustered regularly interspaced short palindromic repeat(CRISPR) technique to achieve both high sensitivity and specificity when it comes to measurement of viral variants. MOPCS is a low-cost, CRISPR/Cas12a-systemempowered SPR gene-detecting platform that can analyze viral RNA, without the need for amplification,within 38 min from sample input to results output, and achieve a limit of detection of 15 fM. MOPCS achieves a highly sensitive analysis of SARS-Co V-2, and mutations appear in variants B.1.617.2(Delta),B.1.1.529(Omicron) and BA.1(a subtype of Omicron). This platform was also used to analyze some recently collected patient samples from a local outbreak in China, identified by the Centers for Disease control and Prevention. This innovative CRISPR-empowered SPR platform will further contribute to the fast, sensitive and accurate detection of target nucleic acid sequences with single-base mutations.

关键词： surface plasmon resonance CRISPR SARS-CoV-2 Omicron variant

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A Residual Multi-Scale Convolutional Neural Network with Transformers for Speech Emotion Recognition

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IEEE Transactions on Affective Computing 2024年第2期16卷 915-932页

作者： Yan, Tianhao Meng, Hao Parada-Cabaleiro, Emilia Tao, Jianhua Li, Taihao Schuller, Bjorn W. Zhejiang Lab Research Center for Data Hub and Security Hangzhou311121 China Harbin Engineering University College of Intelligent Systems Science and Engineering Harbin150001 China Johannes Kepler University Linz Institute of Computational Perception Linz4040 Austria Tsinghua University Department of Automation Beijing100084 China UCAS Hangzhou Institute for Advanced Study Hangzhou310024 China University of Augsburg Chair of Embedded Intelligence for Health Care & Wellbeing Augsburg86159 Germany Imperial College London Group on Language Audio & Music LondonSW7 2AZ United Kingdom

The great variety of human emotional expression as well as the differences in the ways they perceive and annotate them make Speech Emotion Recognition (SER) an ambiguous and challenging task. With the development of deep learning, long-term progress has been made in SER systems. However, the existing convolutional neural networks present certain limitations, such as their inability to well capture features, which contain important emotional information. Moreover, the position encoding in the Transformer structure is relatively fixed and only encodes the time domain dimension, which cannot effectively obtain the position information of discriminative features in the frequency domain dimension. In order to overtake these limitations, we propose an end-to-end Residual Multi-Scale Convolutional Neural Networks (RMSCNN) with Transformer model network. Simultaneously, to further validate the effectiveness of RMSCNN in extracting multi-scale features and delivering pertinent emotion localization data, we developed the RMSC_down network in conjunction with the Wav2Vec 2.0 model. The results of the prediction of Arousal, Valence and Dominance on the popular corpora demonstrate the superiority and robustness of our approach for SER , showing an improvement of the recognition accuracy in the public dataset MSP-Podcast 1.9 version. The code is available at this GitHub. © 2010-2012 IEEE.

关键词： Convolutional neural networks

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