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Effect of Photoperiod Treatments on Dormancy Induction and Changes in Correlated Respiratory Rate of Nectarine Peach Bud

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Agricultural Sciences in China 2008年第12期7卷 1445-1450页

作者： LI Jin GAO Dong-sheng zhao kai YU Qin xu Chen-shan State Key Laboratory of Crop Biology College of Horticulture Science and Engineering Shandong Agricultural University Tai＇an271018 P.R.China

The responses of dormancy induction to illumination and the characteristics of respiratory rate were studied with the nectarine peach bud in this article. The trial was conducted with nectarine （Prunus persica var. nectariana cv. Shuguang） and involved three treatments： a short day treatment （8 h）, a long day treatment （16 h）, and the normal condition as the control. The dormancy status was determined with the growth of shoot and the sprouting ability, and the respiratory rate was mensurated with oxygen electrode. Short day treatment could induce the growth stopping of peach shoots ahead, promote the development of dormancy, and induce buds into dormancy with 21 d previous to control. Long day treatment postponed the growth stopping and the induction and development of dormancy. The respiratory rate decreased according to the development of dormancy induction. The minimum respiratory rate appeared about 7 days after the start of dormancy induction. Bud respiratory rate increased during this period and then declined and remained at low level during dormancy period. Long day reduced buds respiratory rate slightly. Short day could induce dormancy obviously, and long day postponed dormancy induction. The changes of respiratory rate were correlated with the development of dormancy induction, and the bud respiratory rate was also affected by photoperiod.

关键词： peach dormancy induction photoperiod respiratory rate

Intermittent disturbance mechanical behavior and fractional deterioration mechanical model of rock under complex true triaxial stress paths

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International Journal of Mining Science and Technology 2024年第1期34卷 117-136页

作者： Zhi Zheng Hongyu xu kai Zhang Guangliang Feng Qiang Zhang Yufei zhao State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures Key Laboratory of Disaster Prevention and Structural Safety of Ministry of EducationCollege of Civil Engineering and ArchitectureGuangxi UniversityNanning 530004China State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan 430071China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100080China State Key Laboratory for Geomechanics and Deep Underground Engineering China University of Mining and TechnologyXuzhou 221116China

Mechanical excavation,blasting,adjacent rockburst and fracture slip that occur during mining excavation impose dynamic loads on the rock mass,leading to further fracture of damaged surrounding rock in three-dimensional high-stress and even causing ***,a novel complex true triaxial static-dynamic combined loading method reflecting underground excavation damage and then frequent intermittent disturbance failure is *** triaxial static compression and intermittent disturbance tests are carried out on *** effects of intermediate principal stress and amplitude on the strength characteristics,deformation characteristics,failure characteristics,and precursors of monzogabbro are analyzed,intermediate principal stress and amplitude increase monzogabbro strength and tensile fracture *** increases in microseismic parameters during rock loading can be precursors for intermittent rock *** on the experimental result,the new damage fractional elements and method with considering crack initiation stress and crack unstable stress as initiation and acceleration condition of intermittent disturbance irreversible deformation are proposed.A novel three-dimensional disturbance fractional deterioration model considering the intermediate principal stress effect and intermittent disturbance damage effect is established,and the model predicted results align well with the experimental *** sensitivity of stress states and model parameters is further explored,and the intermittent disturbance behaviors at different f are *** study provides valuable theoretical bases for the stability analysis of deep mining engineering under dynamic loads.

关键词： True triaxial static and disturbance test Mechanical properties Failure mechanism and precursor Intermittent disturbance effect Fractional mechanical model

A real-time intelligent lithology identification method based on a dynamic felling strategy weighted random forest algorithm

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Petroleum Science 2024年第2期21卷 1135-1148页

作者： Tie Yan Rui xu Shi-Hui Sun zhao-kai Hou Jin-Yu Feng School of Petroleum Engineering Northeast Petroleum UniversityDaqing163318HeilongjiangChina Sanya Offshore Oil&Gas Research Institute Northeast Petroleum UniversitySanya572025HainanChina

Real-time intelligent lithology identification while drilling is vital to realizing downhole closed-loop drilling. The complex and changeable geological environment in the drilling makes lithology identification face many challenges. This paper studies the problems of difficult feature information extraction,low precision of thin-layer identification and limited applicability of the model in intelligent lithologic identification. The author tries to improve the comprehensive performance of the lithology identification model from three aspects: data feature extraction, class balance, and model design. A new real-time intelligent lithology identification model of dynamic felling strategy weighted random forest algorithm(DFW-RF) is proposed. According to the feature selection results, gamma ray and 2 MHz phase resistivity are the logging while drilling(LWD) parameters that significantly influence lithology identification. The comprehensive performance of the DFW-RF lithology identification model has been verified in the application of 3 wells in different areas. By comparing the prediction results of five typical lithology identification algorithms, the DFW-RF model has a higher lithology identification accuracy rate and F1 score. This model improves the identification accuracy of thin-layer lithology and is effective and feasible in different geological environments. The DFW-RF model plays a truly efficient role in the realtime intelligent identification of lithologic information in closed-loop drilling and has greater applicability, which is worthy of being widely used in logging interpretation.

关键词： Intelligent drilling Closed-loop drilling Lithology identification Random forest algorithm Feature extraction

Screening and identification of functional bacterial attachment genes in aerobic granular sludge

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Journal of Environmental Sciences 2024年第7期141卷 205-214页

作者： kai Qiao Tingting zhao LeiWang Wei Zhang WeiMeng Fan Liu xu Gao Jianrong Zhu School of Environment Beijing Normal UniversityBeijing 100875China State Key Laboratory of Water Simulation Beijing 100875China R&D Centre of Aerobic Granule Technology Beijing 100875China

The screening and identification of attachment genes is important to exploring the formation mechanism of biofilms at the gene *** is helpful to the development of key culture technologies for aerobic granular sludge(AGS).In this study,genome-wide sequencing and gene editing were employed for the first time to investigate the effects and functions of attachment genes in *** the help of whole-genome analysis,ten attachment genes were screened from thirteen genes,and the efficiency of gene screening was greatly ***,two attachment genes were selected as examples to further confirm the gene functions by constructing gene-knockout recombinant mutants of Stenotrophomonas maltophilia;when the two attachment genes were knocked out,the attachment potential was reduced by 50.67%and 43.93%,*** results provide a new theoretical principle and efficient method for the development of AGS from the perspective of attachment genes.

关键词： Attachment gene Genome-wide sequence Gene-knockout Attachment potential Aerobic granular sludge biofilm

The Application of Extended Reality in Treating Children with Autism Spectrum Disorder

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Neuroscience Bulletin 2024年第8期40卷 1189-1204页

作者： Weijia zhao Song xu Yanan Zhang Dandan Li Chunyan Zhu kai Wang First Clinical Medical College Anhui Medical UniversityHefei 230032China School of Biomedical Engineering Anhui Medical UniversityHefei 230032China School of Mental Health and Psychological Sciences Anhui Medical UniversityChinaHefei 230032China Research Center for Translational Medicine The Second Hospital of Anhui Medical UniversityHefei 230000China Department of Neurology The First Affiliated Hospital of Anhui Medical UniversityHefei 230032China Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health Hefei 230032China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders Hefei 230032China

Autism Spectrum Disorder(ASD)is a common neurodevelopmental disorder in children,characterized by social interaction,communication difficulties,and repetitive and stereotyped *** intervention methods have limitations,such as requiring long treatment periods and needing to be more convenient to *** Reality(XR)technology offers a virtual environment to enhance children's social,communication,and self-regulation *** paper compares XR theoretical models,application examples,and intervention *** study reveals that XR intervention therapy is mainly based on cognitive rehabilitation,teaching,and social-emotional learning *** utilizes algorithms,models,artificial intelligence(AI),eye-tracking,and other technologies for interaction,achieving diverse intervention *** showed effective improvement in competency barriers using XR-based multimodal interactive ***,Mixed Reality(MR)technology still requires further *** research should explore multimsodal interaction technologies combining XR and AI,optimize models,prioritize the development of MR intervention scenarios,and sustain an optimal intervention level.

关键词： Autism spectrum disorde Extended reality Multimodal interaction technologies Intervention model Treatment effectiveness evaluation

Repurposing disulfiram with CuET nanocrystals:Enhancing anti-pyroptotic effect through NLRP3 inflammasome inhibition for treating inflammatory bowel diseases

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Acta Pharmaceutica Sinica B 2024年第6期14卷 2698-2715页

作者： xueming xu Yuanfeng Han Jiali Deng Shengfeng Wang Shijie Zhuo kai zhao Wenhu Zhou Hematology and Department of Critical Care Medicine The Third Xiangya HospitalCentral South UniversityChangsha 410013China Xiangya School of Pharmaceutical Sciences Central South UniversityChangsha 410013China Hunan Chidren's Hospital Changsha 410007China Department of Pharmacy The Third Xiangya HospitalCentral South UniversityChangsha 410013China Key Laboratory of Biological Nanotechnology of National Health Commission Changsha 410008China

Drug repurposing offers a valuable strategy for identifying new therapeutic applications for existing ***,disulfiram(DSF),a drug primarily used for alcohol addiction treatment,has emerged as a potential treatment for inflammatory diseases by inhibiting pyroptosis,a form of programmed cell *** therapeutic activity of DSF can be further enhanced by the presence of Cu^(2+),although the underlying mechanism of this enhancement remains *** this study,we investigated the mechanistic basis of Cu^(2+)-induced enhancement and discovered that it is attributed to the formation of a novel copper ethylthiocarbamate(CuET)*** exhibited significantly stronger anti-pyroptotic activity compared to DSF and employed a distinct mechanism of ***,despite its potent activity,CuET suffered from poor solubility and limited permeability,as revealed by our druggability *** overcome these intrinsic limitations,we developed a scalable method to prepare CuET nanocrystals(CuET NCs)using a metal coordination-driven self-assembly *** studies demonstrated that CuET NCs exhibited a 6-fold improvement in ***,CuET NCs exhibited high biodistribution in the intestine,suggesting their potential application for the treatment of inflammatory bowel diseases(IBDs).To evaluate their therapeutic efficacy in vivo,we employed a murine model of DSS-induced colitis and observed that CuET NCs effectively attenuated inflammation and ameliorated colitis *** findings highlight the discovery of CuET as a potent anti-pyroptotic agent,and the development of CuET NCs represents a novel approach to enhance the druggability of CuET.

关键词： Drug repurposing Pyroptosis Nanoparticles Bioavailability Disulfiram DSS-induced colitis NLRP3 inflammasome CuET

Hydrologic Response to Future Climate Change in the Dulong-Irra-waddy River Basin Based on Coupled Model Intercomparison Project 6

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Chinese Geographical Science 2024年第2期34卷 294-310页

作者： xu Ziyue MA kai YUAN xu HE Daming Institute of International Rivers and Eco-security Yunnan UniversityKunming 650500China Yunnan Key Laboratory of International Rivers and Transboundary Eco-security Kunming 650500China

Within the context of the Belt and Road Initiative(BRI)and the China-Myanmar Economic Corridor(CMEC),the Dulong-Ir-rawaddy(Ayeyarwady)River,an international river among China,India and Myanmar,plays a significant role as both a valuable hydro-power resource and an essential ecological ***,the water resources and security exhibit a high degree of vulnerabil-ity to climate change *** research evaluates climate impacts on the hydrology of the Dulong-Irrawaddy River Basin(DIRB)by using a physical-based hydrologic *** crafted future climate scenarios using the three latest global climate models(GCMs)from Coupled Model Intercomparison Project 6(CMIP6)under two shared socioeconomic pathways(SSP2-4.5 and SSP5-8.5)for the near(2025-2049),mid(2050-2074),and far future(2075-2099).The regional model using MIKE SHE based on historical hydrologic processes was developed to further project future streamflow,demonstrating reliable performance in streamflow simulations with a val-idation Nash-Sutcliffe Efficiency(NSE)of *** showed that climate change projections showed increases in the annual precip-itation and potential evapotranspiration(PET),with precipitation increasing by 11.3%and 26.1%,and PET increasing by 3.2%and 4.9%,respectively,by the end of the century under SSP2-4.5 and *** changes are projected to result in increased annual streamflow at all stations,notably at the basin’s outlet(Pyay station)compared to the baseline period(with an increase of 16.1%and 37.0%at the end of the 21st century under SSP2-4.5 and SSP5-8.5,respectively).Seasonal analysis for Pyay station forecasts an in-crease in dry-season streamflow by 31.3%-48.9%and 22.5%-76.3%under SSP2-4.5 and SSP5-8.5,respectively,and an increase in wet-season streamflow by 5.8%-12.6%and 2.8%-33.3%,***,the magnitude and frequency of flood events are pre-dicted to escalate,potentially impacting hydropower production and food security *** res

关键词： climate change hydrologic response Coupled Model Intercomparison Project 6(CMIP6) MIKE SHE(Système Hydrologique Europeén) Dulong-Irrawaddy River Basin

Highly Integrated Perovskite Solar Cells-Based Photorechargeable System with Excellent Photoelectric Conversion and Energy Storage Ability

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Energy & Environmental Materials 2024年第5期7卷 336-344页

作者： Jinxin Bi Shaoyin Li Dongtao Liu Bowei Li kai Yang Ming xu Chaopeng Fu Yunlong zhao Wei Zhang Advanced Technology Institute University of Surrey School of Materials Science and Engineering Shanghai Jiao Tong University Dyson School of Design Engineering Imperial College London National Physical Laboratory

Perovskite solar cells have emerged as a promising technology for renewable energy generation. However, the successful integration of perovskite solar cells with energy storage devices to establish high-efficiency and long-term stable photorechargeable systems remains a persistent challenge. Issues such as electrical mismatch and restricted integration levels contribute to elevated internal resistance, leading to suboptimal overall efficiency (ηoverall) within photorechargeable systems. Additionally, the compatibility of perovskite solar cells with electrolytes from energy storage devices poses another significant concern regarding their stability. To address these limitations, we demonstrate a highly integrated photorechargeable system that combines perovskite solar cells with a solid-state zinc-ion hybrid capacitor using a streamlined process. Our study employs a novel ultraviolet-cured ionogel electrolyte to prevent moisture-induced degradation of the perovskite layer in integrated photorechargeable system, enabling perovskite solar cells to achieve maximum power conversion efficiencies and facilitating the monolithic design of the system with minimal energy loss. By precisely matching voltages between the two modules and leveraging the superior energy storage efficiency, our integrated photorechargeable system achieves a remarkable ηoverallof 10.01%while maintaining excellent cycling stability.

关键词： ionogel electrolyte perovskite solar cells photorechargeable system self-powered electronics zinc-ion hybrid capacitor

Features and formulae of sediment incipient motion in vegetated flow environment

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Journal of Hydrodynamics 2024年第2期36卷 331-339页

作者： Yu-xuan xu Wei-jie Wang Shi-bao Zhang Han-qing zhao xue-kai Chen Hai-ping Zhang School of Water Conservancy North China University of Water Resources and Electric PowerZhengzhou450045China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing100038China China Three Gorges Corporation Wuhan430010China

Aquatic vegetation is a vital component of natural river ecosystems,playing a crucial role in maintaining ecological balance,providing habitat and improving water ***,the presence of vegetation results in increased resistance in vegetated channels compared with non-vegetated channels,rendering traditional sediment movement predictions inadequate for the ***,the concept of a vegetation influence factor,denoted by CDah,has been proposed by previous researchers to represent the effect of vegetation on sediment movement in *** this study,we focus on exploring the vegetation resistance coefficient(CD)among the vegetation influence factors,evaluating two different calculation methods for vegetation resistance coefficient,and presenting two expressions through genetic algorithm analysis to predict the incipient flow velocity of sediment in vegetated *** predicted values from the new formulae show excellent agreement with measured data,highlighting the high accuracy of the proposed methods in predicting the incipient flow velocity of *** results provide a solid theoretical basis for understanding the influence of aquatic vegetation on sediment particle movement.

关键词： Vegetation flow vegetation resistance coefficient genetic algorithm sediment initiation