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Gas sensor array based on carbon-based thin-film transistor for selective detection of indoor harmful gases

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Rare Metals 2024年第9期43卷 4401-4411页

作者： Can Liu Yu Sun Jia-Yi Guo Xiu-Lei Li Lu Tao jin-yong Hu Jue-Xian Cao Ping-Hua Tang yong Zhang School of Electrical and Information Engineering Hunan Institute of Engineering Physics and Optoelectronics&Hunan Institute of Advanced Sensing and Information Technology Xiangtan University

The identification of indoor harmful gases is imperative due to their significant threats to human health and *** achieve accurate identification,an effective strategy of constructing a sensor array combined with the pattern recognition algorithm is ***-based thin-film transistors are selected as the sensor array unit,with semiconductor carbon nanotubes （CNTs） within the TFT channels modified with different metals （Au,Cu and Ti） for selective responses to NH3,H2S and HCHO,*** accurate gas species identification,an identification mode that combines linear discriminant analysis algorithms and logistic regression classifier is *** test results demonstrate that by preprocessing the sensor array’s sensing data with the LDA algorithm and subsequently employing the LR classifier for identification,a 100% recognition rate can be achieved for three target gases （NH3,H2S and HCHO）.This work provides significant guidance for future applications of chip-level gas sensors in the realms of the Internet of Things and Artificial Intelligence.

关键词： Carbon-based thin-film transistors Gas sensor arrays Linear discriminant analysis Multi-gas detection Semiconductor carbon nanotubes

Privacy-Preserving Federated Mobility Prediction with Compound Data and Model Perturbation Mechanism

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China Communications 2024年第3期21卷 160-173页

作者： Long Qingyue Wang Huandong Chen Huiming jin Depeng Zhu Lin Yu Li Li yong Beijing National Research Center for Information Science and Technology(BNRist) Department of Electronic EngineeringTsinghua UniversityBeijing 100084China China Mobile Research Beijing 100032China

Human mobility prediction is important for many ***,training an accurate mobility prediction model requires a large scale of human trajectories,where privacy issues become an important *** rising federated learning provides us with a promising solution to this problem,which enables mobile devices to collaboratively learn a shared prediction model while keeping all the training data on the device,decoupling the ability to do machine learning from the need to store the data in the ***,existing federated learningbased methods either do not provide privacy guarantees or have vulnerability in terms of privacy *** this paper,we combine the techniques of data perturbation and model perturbation mechanisms and propose a privacy-preserving mobility prediction algorithm,where we add noise to the transmitted model and the raw data collaboratively to protect user privacy and keep the mobility prediction *** experimental results show that our proposed method significantly outperforms the existing stateof-the-art mobility prediction method in terms of defensive performance against practical attacks while having comparable mobility prediction performance,demonstrating its effectiveness.

关键词： federated learning mobility prediction privacy

MOF and its derivative materials modified lithium-sulfur battery separator:a new means to improve performance

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Rare Metals 2024年第6期43卷 2418-2443页

作者： Rong-Wei Huang yong-Qi Wang Dan You Wen-Hao Yang Bin-Nan Deng Fei Wang Yue-jin Zeng Yi-yong Zhang Xue Li National Local Joint Engineering Research Center for Lithium-Ion Batteries and Materials Preparation Technology Key Laboratory of Advanced Batteries Materials of Yunnan ProvinceFaculty of Metallurgical and Energy EngineeringKunming University of Science and TechnologyKunming 650093China State Key Laboratory of Physical Chemistry of Solid Surfaces Collaborative Innovation Centre of Chemistry for Energy MaterialsState-Province Joint Engineering Laboratory of Power Source Technology for New Energy VehicleEngineering Research Center of Electrochemical TechnologyMinistry of EducationCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China

In recent years,lithium-sulfur batteries(LSBs)are considered as one of the most promising new generation energies with the advantages of high theoretical speeific capacity of sulfur(1675 mAh·g^(-1)),abundant sulfur resources,and environmental friendliness storage technologies,and they are receiving wide attention from the ***,the problems of the shuttle effect and lithium dendrite growth in LSBs have limited their practical application,so there is a need to find ways to solve these *** is an excellent choice to use novel materials to modify battery *** those novel materials,the metal-organic framework(MOF)has the properties of regular pores and controllable *** applied as a positive electrode and diaphragm,it can restrain the shuttle effect and lithium dendrite growth,especially since it shows excellent performance in diaphragm ***,various design strategies and synthesis methods of MOF-modified separators are reviewed in this paper,and the applications of MOF in LSBs separators in different forms are introduced,including the composite of MOF and carbon-based materials,the compounding of MOF and polymer,self-carbonization to form MOF-derived *** the same time,different characterization techniques are systematically reviewed to obtain the physical and chemical properties of MOF particles and the working mechanism of MOF-modified diaphragm,which provides a basis for further research in this ***,some future research trends and directions are put forward to fully tap the future commercial potential of MOF-modified diaphragm in LSBs.

关键词： MOF Lithium-sulfur battery Modified diaphragms Design strategies Prospect Characterization

Exploring the genetic basis of pre-harvest sprouting in rice through a genome-wide association study-based haplotype analysis

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Journal of Integrative Agriculture 2024年第8期23卷 2525-2540页

作者： Myeong-Hyeon Min Aye Aye Khaing Sang-Ho Chu Bhagwat Nawade yong-jin Park Department of Plant Resources College of Industrial SciencesKongju National UniversityYesan 32439Republic of Korea Department of Agronomy Yezin Agricultural UniversityNay Pyi Taw 15013Myanmar

Pre-harvest sprouting(PHS)poses a significant global challenge to cereal production,impacting both yield and *** this study,we employed genome-wide association studies(GWAS)on diverse rice accessions to identify novel PHS-associated *** assessment of 127 cultivated accessions for panicle germination(PHS)and detached grain germination(germination rate of detached grains at the 14th day(D14))revealed considerable phenotypic variation among rice *** analysis identified 91 significant signals at–log10(P-value)>5,including 15SNPs for PHS and 76 SNPs for D14.A subsequent linkage disequilibrium(LD)block-based GWAS analysis detected 227 significant SNPs for both traits,consisting of 18 nonsynonymous substitutions located on the coding regions of nine *** haplotype analysis identified 32 haplotypes,with 10 specific to cultivated accessions,19 specific to the wild type,and three shared between them.A phenotypic assessment of major haplotypes revealed significant differences between resistant(Hap1 and Hap2)and susceptible haplotypes(Hap5,Hap27,and Hap28),distinguished by a G/A SNP within a novel gene,*** identified haplotypes offer promising prospects for haplotypebased breeding aimed at enhancing PHS resistance in rice.

关键词： rice PHS dormancy germination GWAS haplotype abiotic stress

A Cu-Pd alloy catalyst with partial phase separation for the electrochemical CO_(2) reduction reaction

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Journal of Energy Chemistry 2024年第6期93卷 8-15,I0001页

作者： Gyeong Ho Han Jung yong Seo Minji Kang Myung-gi Seo Youngheon choi Soo Young Kim Sang Hyun Ahn School of Chemical Engineering and Material Science Chung-Ang UniversitySeoul 06974Republic of Korea Lotte Chemical Institute of Technology Daejeon 34110Republic of Korea Department of Materials Science and Engineering Korea UniversitySeoul 02841Republic of Korea

Cu catalysts can convert CO_(2) through an electrochemical reduction reaction into a variety of useful carbon-based ***,this capability provides an obstacle to increasing the selectivity for a single ***,we report a simple fabrication method for a Cu-Pd alloy catalyst for use in a membrane electrode assembly(MEA)-based CO_(2) electrolyzer for the electrochemical CO_(2) reduction reaction(ECRR)with high selectivity for CO *** the composition of the Cu-Pd alloy catalyst was fabricated at 6:4,the selectivity for CO increased and the production of multi-carbon compounds and hydrogen is *** a Cu-Pd alloy catalyst with 6:4 ratio as the cathode of the MEAbased CO_(2) electrolyzer showed a CO faradaic efficiency of 92.8%at 2.4 V_(cell).We assumed that these results contributed from the crystal planes on the surface of the Cu-Pd *** phases of the Cu-Pd alloy catalyst were partially separated through annealing to fabricate a catalyst with high selectivity for CO at low voltage and C_(2)H_4 at high *** results of CO-stripping testing confirmed that when Cu partially separates from the lattice of the Cu-Pd alloy,the desorption of~*CO is suppressed,suggesting that C-C coupling reaction is favored.

关键词： Cu-Pd catalyst Electrodeposition Electrochemical carbon dioxide reduction Partial phase separation Membrane electrode assembly-based electrolyzer

Effect of Menopausal Hormone Replacement Therapy on Cytokine Patterns in a Perimenopausal Mouse Model Established by the Ovarian Castration Method

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Chinese Journal of Biomedical Engineering(English Edition) 2024年第1期33卷 40-48页

作者： HE Bin-bin ZHANG Ju-shun WANG jin-yong Longyan First Affiliated Hospital of Fujian Medical University Longyan Fujian 364000China

Objective: To investigate the effect of perimenopausal hormone replacement therapy(HRT) on cytokine patterns in a perimenopausal mouse model established by ovarian castration. Methods: The mice were divided into natural menopause group,ovariectomy group and HRT group, with 15 mice in each group, and the estrous cycle, estrous frequency and menopausal time of the mice were determined by vaginal cytology,and the estrous cycle, estrous frequency and menopausal time were compared among the three groups. The serum levels of estradiol(E2) and progesterone(P4) in each group were detected by double-antibody sandwich ELISA, and the levels of interferon gamma(IFN-γ), interleukin-2(IL-2), IL-4 and IL-10 in the spleen γ tissues of mice were detected by ELISA. Results: The time of menopause(53.07±3.99) d in the HRT group was between that of the natural menopause group(80.80±3.26) d and that of the ovariectomy group(16.27±4.35) d, with a statistically significant difference in the two-by-two comparison of the three groups(P<0.05). The levels of serum E2(694.4±128.3) ng/L and P4(14.2 ±6.0) ng/L in the HRT therapy group are between those of the ovariectomy group and the natural menopause group, with statistically significant differences between the groups(P<0.05). The levels of IL-2(30.9±5.3) pg/ml, IL-4(9.4±1.6) pg/ml, IL-10(19.7±3.1) pg/ml, IFN-γ(22.0±3.7) pg/ml in the HRT group were all between those of natural menopause group and ovariectomy group. The Th1/Th2 ratio in the ovariectomy group was 7.55±1.57, higher than that in the natural menopause group(1.53±0.48) and HRT group(2.38 ±0.44), with statistically significant differences(P<0.05). Conclusion:Menopausal HRT can partially correct the imbalance of Th1/Th2 cytokines, which is able to provide an experimental basis for the regulation of menopause-related immune imbalance by HRT.

关键词： menopause hormone replacement therapy(HRT) ovariectomy mouse model cytokine pattern

Automatic velocity picking based on optimal key points tracking algorithm

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Petroleum Science 2024年第2期21卷 903-917页

作者： yong-Hao Wang Wen-Kai Lu Song-Bai jin Yang Li Yu-Xuan Li Xiao-Feng Gu The Institute for Artificial Intelligence(THUAI) Tsinghua UniversityBeijing100084China State Key Laboratory of Intelligent Technology and Systems Tsinghua UniversityBeijing100084China Beijing National Research Center for Information Science and Technology(BNRist) Beijing100084China The Department of Automation Tsinghua UniversityBeijing100084China

Picking velocities from semblances manually is laborious and necessitates experience. Although various methods for automatic velocity picking have been developed, there remains a challenge in efficiently incorporating information from nearby gathers to ensure picked velocity aligns with seismic horizons while also improving picking accuracy. The conventional method of velocity picking from a semblance volume is computationally demanding, highlighting a need for a more efficient strategy. In this study, we introduce a novel method for automatic velocity picking based on multi-object tracking. This dynamic tracking process across different semblance panels can integrate information from nearby gathers effectively while maintaining computational efficiency. First, we employ accelerated density clustering on the velocity spectrum to discern cluster centers without the requirement for prior knowledge regarding the number of clusters. These cluster centers embody the maximum likelihood velocities of the main subsurface structures. Second, our proposed method tracks key points within the semblance volume. Kalman filter is adopted to adjust the tracking process, followed by interpolation on these tracked points to construct the final velocity model. Our synthetic data example demonstrates that our proposed algorithm can effectively rectify the picking errors of the clustering algorithm. We further compare the performances of the clustering method(CM), the proposed tracking method(TM), and the variational method(VM) on a field dataset from the Gulf of Mexico. The results attest that our method offers superior accuracy than CM, achieves comparable accuracy with VM, and benefits from a reduced computational cost.

关键词： Velocity picking Multi-object tracking Density clustering Kalman filter

3D-structured carbon nanotube fibers as ultra-robust fabrics for adaptive electromagnetic shielding

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Nano Research 2024年第9期17卷 8521-8530页

作者： Dongping Li Ping Wang Yuanyuan Li Zhenzhong yong Kunjie Wu Yan Zhang jin Wang Dongmei Hu Key Laboratory of Multifunctional and Smart Systems Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123China College of Textile and Clothing Engineering of Soochow University Suzhou 215021China

Wireless communication technology is indispensable in our daily lives,but it also results in serious electromagnetic radiation ***,developing smart electromagnetic interference shielding materials with adjustable electromagnetic wave(EMW)responses holds significant promise for future electromagnetic shielding *** this study,we propose an electromagnetic shielding switch(ESS)characterized by tunable electromagnetic shielding performance achieved by fabricating a three-dimensional(3D)carbon nanotube-based spacer fabric(CNT-SF)and modifying CNT-SF with chemical vapor deposition(CCNT-SF).The CCNT-SF displays direction-dependent electrical conductivity by manipulating the warp and weft density,measuring 128 S/m transversely and 447 S/m *** characteristic allows the CCNT-SF to transmit or shield EMW by adjusting the angle of EMW incidence through fabric rotation,resulting in anisotropic electromagnetic shielding performance(33 dB transversely and 87 dB vertically).This feature enables switchable shielding with an on/off ratio of ***,the unique 3D structure confers excellent mechanical properties on the fabric,with compressive strength reaching 120 *** a flexible,lightweight,and mechanically robust ESS,the CCNT-SF holds promising prospects for mitigating the challenges of increasingly severe and intricate electromagnetic environments.

关键词： carbon nanotube spacer fabric electromagnetic shielding impact resistance joule heating electromagnetic shielding switch

Recent advances in quantifying the inactive lithium and failure mechanism of Li anodes in rechargeable lithium metal batteries

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Journal of Energy Chemistry 2024年第9期96卷 226-248页

作者： Mingming Tao Junning Chen Hongxin Lin Yingao Zhou Danhui Zhao Peizhao Shan Yanting jin yong Yang State Key Laboratory for Physical Chemistry of Solid Surfaces Collaborative Innovation Center of Chemistry for Energy Materials and Department of ChemistryCollege of Chemistry and Chemical EngineeringTan Kah Kee Innovation Laboratory(IKKEM)Xiamen UniversityXiamen 361005FujianChina School of Engineering Westlake UniversityHangzhou 310024ZhejiangChina School of Energy Research Xiamen UniversityXiamen 361005FujianChina

Lithium metal is considered as the ultimate anode material for the next generation of high-energy density ***,non-uniform lithium dendrite growth,serious electrolyte consumption,and significant volume changes during lithium deposition/stripping processes lead to sustained accumulation of inactive lithium and poor cycling *** the formation and evolution of inactive lithium under different conditions and fully evaluating the complex failure modes are the key issues in this challenging *** article comprehensively reviews recent research progress on the quantification of formation and evolution of inactive lithium detected by different quantitative techniques in rechargeable lithium metal *** key research challenges such as failure mechanism,modification strategies and operando characterization of lithium metal anodes are systematically summarized and *** review provides a new angle of view to understand failure mechanism of lithium metal anodes and inspiration and guidance for the future development of rechargeable lithium metal batteries.

关键词： Lithium metal anodes Inactive lithium Quantitative technique Failure mechanism