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Antisymmetry-breaking-coupling–enhanced sensing of quantum reservoirs

Physical Review A 2024年第1期110卷 012613-012613页

作者： Ji-Bing Yuan Zhi-Min Tang Ya-Ju Song Shi-Qing Tang Zhao-Hui Peng Xin-Wen Wang Le-Man Kuang Key Laboratory of Opto-electronic Control and Detection Technology of University of Hunan Province and College of Physics and Electronic Engineering Hunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials and Department of Physics Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education and Department of Physics Synergetic Innovation Academy for Quantum Science and Technology

We investigate the use of a single generalized dephasing qubit for sensing a quantum reservoir, where the antisymmetry of the coupling between the qubit and its reservoir is broken. Our results indicate that, in addition to the decay factor encoding channel, the antisymmetry breaking coupling introduces another phase factor encoding channel. We propose an optimal measurement strategy for the generalized dephasing qubit, which enables the practical measurement precision to reach the theoretical ultimate precision quantified by the quantum signal-to-noise ratio (QSNR). As an application example, the generalized dephasing qubit is employed to estimate the s-wave scattering length of an atomic Bose-Einstein condensate. It is found that the QSNR contributed by the antisymmetry breaking coupling is at least two orders of magnitude higher than the QSNR contributed by the antisymmetry coupling at the millisecond timescale, and the optimal relative error can achieve a scaling ∝1/(χt) in long-term encoding, where χ represents the relative driving strength and t is the encoding time. Our work opens a way for supersensitive sensing of quantum reservoirs.

关键词： Open quantum systems & decoherence Quantum parameter estimation Bose-Einstein condensates

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Soil micro-food web composition determines soil fertility and crop growth

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Soil Ecology Letters 2025年第1期7卷 145-157页

作者： Yaping Lin Qing Yi Dandan Gao Jiangnan Li Wei Zhang Kelin Wang Dan Xiao Peilei Hu Jie Zhao College of Life and Environmental Science National Engineering Laboratory for Applied Technology in Forestry&Ecology in South ChinaCentral South University of Forestry and TechnologyChangsha 410004China Key Laboratory of Agro-ecological Processes in Subtropical Region Institute of Subtropical AgricultureChinese Academy of SciencesChangsha 410125China Guangxi Industrial Technology Research Institute for Karst Rocky Desertification Control Nanning 530012China Huanjiang Agriculture Ecosystem Observation and Research Station of Guangxi Guangxi Key Laboratory of Karst Ecological Processes and ServicesHuanjiang Observation and Research Station for Karst EcosystemsChinese Academy of SciencesHuanjiang 547100China

Soil fertility is one of the key determinants of agricultural *** food webs play an important role in driving soil nutrient cycling and plant ***,it is poorly known how the soil food web composition and complexity affect plant growth and soil *** this study,soil microorganisms and nematodes isolated from two soil types(i.e.,calcareous soil and red soil)and two land use types(i.e.,corn-soybean cultivation and natural grass-shrubland)were used to sequentially establish four soil microfood webs(FW1,FW2,FW3,and FW4)with increasing levels of community complexity based on food web *** four micro-food webs were inoculated to sterilized soils which were then planted with soybeans for three months in a pot experiment under ambient *** sterilized soil without food web inoculation was employed as control(C)and unsterilized soil with its original food web was also regarded as a treatment(US)in the *** effects of soil micro-food web complexity on soil nutrient and soybean growth were *** results showed that soil total nitrogen(TN)and phosphorus(TP),soil microbial biomasses,and plant nitrogen and phosphorus were generally higher in the four food web inoculation treatments than in the control or unsterilized ***,the original soil food web treatment(i.e.,unsterilized soil)had lower soil or soybean nutrient than the no food web treatment(i.e.,sterilized soil).In addition,the complexity of inoculated food webs was positively correlated with soil TN,TP,and total potassium(TK).These results suggest that soil micro-food web complexity is an important driver of soil fertility and affects crop ***,complex soil micro-food web maintains higher soil fertility and crop *** study provides solid evidence of the roles of soil food web in controlling ecosystem services;and the findings could provide a better understanding of the soil food web structure and soil fertility relationship

关键词： network complexity microbes and nematodes soil fertility soil community inoculation structure and function relationship

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Advances and perspectives in environmental health research in China

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Frontiers of Environmental science & engineering 2024年第6期18卷 105-113页

作者： Tong Zhu Yingjun Liu Shunqing Xu Guanghui Dong Cunrui Huang Nan Sang Yunhui Zhang Guanyong Su Jingwen Chen Jicheng Gong Guohua Qin Xinghua Qiu Jing Shang Haobo Wang Pengpeng Wang Mei Zheng SKL-ESPC&SEPKL-AERM Department of Environmental HealthCollege of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Center for Environment and Health Peking UniversityBeijing 100871China School of Life and Health Sciences Huainan UniversityHaikou 570228China Joint International Research Laboratory of Environment and Health(Ministry of Education) Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk AssessmentDepartment of Occupational and Environmental HealthSchool of Public HealthSun Yat-sen UniversityGuangzhou 510080China Vanke School of Public Health Tsinghua UniversityBeijing 100084China Research Center of Environment and Health College of Environment and ResourceShanxi UniversityTaiyuan 030006China Department of Environmental Health School of Public HealthFudan UniversityShanghai 200032China School of Environmental and Biological Engineering Nanjing University of Science and TechnologyNanjing 210094China Key Laboratory of Industrial Ecology and Environmental Engineering(Ministry of Education) Dalian Key Laboratory on Chemicals Risk Control and Pollution Prevention TechnologySchool of Environmental Science and TechnologyDalian University of TechnologyDalian 116024China Department of Occupational and Environmental Health College of Public HealthZhengzhou UniversityZhengzhou 450001China

Environmental health research aims to identify environmental conditions suitable for the healthy living and reproduction of human *** the interdisciplinary research bridging environmental sciences and health/medical sciences,the impacts of physical,chemical,and biological environmental factors on human health are *** includes identifying environmental factors detrimental to human health,evaluating human exposure characteristics to environmental factors,clarifying causal relationships between environmental exposure and health effects,analyzing the underlying biochemical mechanisms,linking environmental factors to the onset and progression of diseases,establishing exposure-response relationships,and determining effect ***,the results of environmental health research can serve as a scientific basis for formulating environmental management strategies and guiding prevention and intervention measures at both the public and individual *** paper summarizes the recent advances and future perspectives of environmental health research in China,as reported by a group of Chinese scientists who recently attended a workshop in Hainan,*** it is not intended to provide a comprehensive review of this expansive field,it offers a glimpse into the significant progress made in understanding the health impacts of environmental factors over the past *** ahead,it is imperative not only to sustain efforts in studying the health effects of traditional environmental pollution,but also to prioritize research on the health impacts of emerging pollutants and climate change.

关键词： Environmental pollution Emerging pollutants Climate change Exposure Mechanism

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Modeling and Research of Drivers’ Learning Process

Modeling and Research of Drivers’ Learning Process

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Chinese control and Decision Conference, CCDC

作者： Yuxuan Yan Chunyue Song State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou

ISBN: (纸本)9781665478977

Understanding the human driving process is one of the key factors in human-robot co-driving. In the real driving process, participants in driving are of varying levels and show different driving styles. In this paper, a driver learning model is built based on the students who are learning to drive, by observing the changes in the driving skills and styles of them in the process of learning. And a driver self-learning iterative process is built to characterize the learning level improvement process of the students. The simulation results show that the different parameter combinations of the learner driving model can represent drivers of different levels and driving styles, and the learner model reflects the self-learning ability during the training process.

关键词： Training Couplings Simulation Process control Drives Iterative methods Vehicle dynamics

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Climate change projections for Diamer Division in lesser Himalayas using multi-global climate model ensemble

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Environmental science and Pollution Research 2025年第3期32卷 1668-1680页

作者： Ahmad, Didar Faridullah, Faridullah Irshad, Muhammad Bacha, Aziz Ur Rahim Hafeez, Farhan Iqbal, Akhtar Ullah, Zahid Afridi, Muhammad Naveed Alrefaei, Abdulwahed Fahad Nazir, Rashid Department of Environmental Sciences COMSATS University Islamabad Abbottabad Campus Abbottabad22060 Pakistan State Key Laboratory of Urban Water Resource and Environment Shenzhen Key Laboratory of Organic Pollution Prevention and Control School of Eco-Environment Harbin Institute of Technology Shenzhen Shenzhen518055 China Department of Environmental Science and Engineering Fudan University Shanghai200433 China State Key Laboratory of Biogeology and Environmental Geology School of Environmental Studies China University of Geosciences Wuhan430074 China Department of Zoology College of Science King Saud University P.O. Box 2455 Riyadh11451 Saudi Arabia

Pakistan, like many other regions around the world, is experiencing the impacts of climate change, particularly in its northern region. These changes have adverse impacts on ecosystems and biodiversity. Herein, we have investigated future projections of temperature and precipitation trends for three periods historical (HT = 1975–2005), near-term (NT = 2010–2029), and mid-term (MT = 2030–2050) using climate model intercomparison projects along with global climate models (GCMs) including RCP4.5 and RCP8.5. The historical records spanning from 1975 to 2005 reveal that the Chilas region has a notable rise of 8 °C in maximum temperature (Tmax), whereas the Astore district exhibited a trend of decreasing temperatures. When examining the projected temperature trends using GCMs (RCP4.5 and RCP8.5), the Chilas region is predicted to undergo a further increase of 6 °C in Tmax. In contrast, the Babusar region is projected to observe a significant decrease of 2 °C for the period between 2010 and 2050. Additionally, the precipitation results obtained from historical-based analysis for the period 1975 to 2005 indicated that the Babusar area exhibited increased precipitation patterns to 20 mm on an annual basis. Similarly, the Astore region has the most significant decline in precipitation, with a reduction of 40 mm annually. The predicted precipitation patterns for the period between 2010 and 2050 under the RCP8.5 revealed that the Babusar region has maximum precipitation (25 mm). Conversely, the Astore region exhibited reduced precipitation patterns, recording minimum precipitation (40 mm). In the results from RCP4.5, the precipitation showed a similar pattern with a maximum of 35 mm and a minimum of 15 mm in the Babusar and Astore, respectively. The region’s glaciers, snow cover, and land use systems are deteriorated by these changes in temperature and precipitation patterns. The increased winter and decreased summer precipitation under varied temperatures and precipitation cau

关键词： Miocene

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Fast Consensus of Discrete Multi-Agent Systems with Delay

Fast Consensus of Discrete Multi-Agent Systems with Delay

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Chinese Automation Congress (CAC)

作者： Mengya Huang Jing–Wen Yi Li Chai Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan University of Science and Technology Wuhan China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

This paper studied the fast consensus of discrete multi-agent systems (MASs) with time delay. A consensus protocol incorporating memory information is formulated to accelerate consensus. The necessary and sufficient conditions to reach average consensus are provided. Furthermore, an optimal design of the fast consensus for MASs with small delay is given, and the explicit solutions of the fastest convergence speed and corresponding optimal control gains are deduced. Finally, the theoretical findings are validated through numerical simulations, underscoring the effectiveness of the nronosed annroach.

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A Flow-Appearance Fusion Defect Detection Method for Substation Equipment in Multi-Scene

A Flow-Appearance Fusion Defect Detection Method for Substat...

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2021 China Automation Congress, CAC 2021

作者： Zhang, Qingwei Wang, Jing Wang, Peng Zhou, Wenhao Zhao, Chunhui State Key Laboratory of Smart Grid Protection and Control NAPJ Technology Development Company Limited Nanjing China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9781665426473

In the daily maintenance process of substation, the defect detection of substation equipment is a critical problem. This task is challenging considering of the variety of defects, the rarely sample of various defects and the complex environment. This paper presents a flow-appearance fusion defect detection method for substation equipment in multiple scenes, which contains a Siamese optical flow module and a defect location module. The Siamese optical flow module is a pretrained optical flow network, which is utilized to obtain forward and backward optical flow between the normal image and the detect image. The optical flow represents the common changing features of different types of defects in multiple scenes. The defect location module utilizes MI-darknet53 to realize the extraction and fusion of appearance and flow features. Then the extracted multiscale features are used to build the feature pyramid network (FPN), which combines semantic defect information in high level and geometric defect information in low level. Finally, FPN is utilized to predict object-level defect areas in three different scales. Experiments show that our proposed method has good reliability and superior performance in the defect detection for the dataset of multi-scene substation equipment. © 2021 IEEE

关键词： Optical flows

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Edible prodelphinidins that improve postprandial hyperglycemia were discovered in Chinese bayberry(Myrica rubra *** Zucc.)fruits

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Food science and Human Wellness 2025年第3期14卷 1008-1016页

作者： Yi Wang Laiming Zhang Jiaxiong Wu Chengxiao Yu Xingqian Ye Haibo Pan Shiguo Chen College of Biosystems Engineering and Food Science National-Local Joint Engineering Laboratory of Intelligent Food Technology and EquipmentZhejiang Key Laboratory for Agro-food ProcessingIntegrated Research Base of Southern Fruit and Vegetable Preservation TechnologyZhejiang International Scientific and Technological Cooperation Base of Health Food Manufacturing and Quality ControlZhejiang UniversityHangzhou 310058China Ningbo Research Institute Zhejiang UniversityNingbo 315100China Zhejiang University Zhongyuan Institute Zhengzhou 450000China Innovation Center of Yangtze River Delta Zhejiang UniversityJiaxing 314102China

Plant polyphenols are potential substitutes for clinicalα-glucosidase *** previous studies indicated that prodelphinidins from Chinese bayberry leaves(BLPs)have strongerα-glucosidase inhibitory activity than other common polyphenols,but they have no safe history of *** is a reasonable prospect that prodelphinidins from Chinese bayberry fruits(BFPs)can improve postprandial hyperglycemia,though known active components are only myricetin and ***,the aim of this study was to analyze structure and hypoglycemic effect of BFPs of“Biqi”(BQPs)and“Dongkui”(DKPs)cultivars,and compare their difference with *** contents of BQPs and DKPs were(221.73±0.60)and(136.82±4.33)mg epicatechin(EC)equivalents/g dry weight,*** most subunits were epigallocatechin gallate along with a small amount of epigallocatechin,epicatechin gallate and EC connected by B-type linkages and a small portion of A-type linkages with mean polymerization degree of 4.25 and 4.08,***,BQPs and DKPs wereα-glucosidase inhibitors with half inhibitory concentration of 11.91 and 9.47μg/m L respectively,which were significantly stronger than *** could also improve postprandial hyperglycemia of normal mice and high fat diet-induced type II diabetic ***,edible prodelphinidins,which have stronger hypoglycemic effect than BLPs,were first found in Chinese bayberry fruits.

关键词： Chinese bayberry fruit Prodelphinidins Structure α-Glucosidase Postprandial hyperglycemia

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Attenuation of blast-induced vibration on tunnel structures

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Geohazard Mechanics 2024年第3期2卷 153-163页

作者： Xiao Wang Xiaofeng Hou Wei Yuan Changdi He Vahab Sarfarazi Hao Fan College of Energy and Mining Engineering Shandong University of Science and TechnologyQingdao 266590China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mine Anhui University of Science and TechnologyHuainanAnhui 232001China College of Safety and Environmental Engineering Shandong University of Science and TechnologyQingdao 266590China School of Civil Engineering Southeast UniversityNanjing211189China Department of Mining Engineering University of UtahSalt Lake CityUT84112USA Department of Mining Engineering Hamedan University of TechnologyHamedanIran

The blast-induced vibration during excavation by drilling and blasting method has an important impact on thesurrounding structures. In particular, with the development of tunnel engineering, the impact of blasting vibrationon tunnel construction has attracted extensive attention. In this paper, the propagation attenuation characteristicsof blast-induced vibration (PPV, peak particle velocity) on different tunnel structures were systematically studiedbased on the ﬁeld monitoring data. Initially, the attenuation characteristics of blasting vibration PPV on the lowerbench surface, the side wall of the excavated tunnel and the closely spaced adjacent tunnel were ***, the capacity of several widely utilized empirical prediction equations to estimate the PPV on tunnelstructures was examined, along with a comparative analysis of their prediction accuracy. The research ﬁndingsindicate that it is feasible to predict the PPV on the tunnel structures using empirical equations. The attenuationcharacteristics of blasting vibration PPV are different in different structures and directions. The prediction accuracy of the empirical equations varies, while the discrepancies are minimal. The principal variation amongthese equations lies in the site-speciﬁc coefﬁcients k, β, λ, highlighting the differential impact of structural anddirectional considerations on the predictive efﬁcacy. Based on the empirical equation and safe PPV provided bythe blasting vibration safe standards on tunnels of China (GB6722-2014), and considering the inﬂuence of allstructures and directions, it is determined that the safe distance of blasting vibration in the tested tunnel projectshould be larger than 20.28–18.31 m, 18.31–16.16 m, and 16.16–13.75 m for blasting vibration frequency locatedin 10 Hz, 10–50 Hz, and >50 Hz.

关键词： Blast-induced vibration Tunnel structures PPV Empirical equations Prediction accuracy Safe distance

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DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations

DexRepNet: Learning Dexterous Robotic Grasping Network with ...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Qingtao Liu Yu Cui Qi Ye Zhengnan Sun Haoming Li Gaofeng Li Lin Shao Jiming Chen College of Control Science and Engineering Zhejiang University Hangzhou China Key Lab of CS&AUS Zhejiang Province College of Control Science and Engineering and the State Key Laboratory of Industrial Control Technology Zhejiang University Department of Computer Science National University of Singapore Singapore

Robotic dexterous grasping is a challenging problem due to the high degree of freedom (DoF) and complex contacts of multi-fingered robotic hands. Existing deep re-inforcement learning (DRL) based methods leverage human demonstrations to reduce sample complexity due to the high dimensional action space with dexterous grasping. However, less attention has been paid to hand-object interaction representations for high-level generalization. In this paper, we propose a novel geometric and spatial hand-object interaction representation, named DexRep, to capture object surface features and the spatial relations between hands and objects during grasping. DexRep comprises Occupancy Feature for rough shapes within sensing range by moving hands, Surface Feature for changing hand-object surface distances, and LocalGeo Feature for local geometric surface features most related to potential contacts. Based on the new representation, we propose a dexterous deep reinforcement learning method DexRepNet to learn a generalizable grasping policy. Experimental results show that our method outperforms baselines using existing representations for robotic grasping dramatically both in grasp success rate and convergence speed. It achieves a 93% grasping success rate on seen objects and higher than 80% grasping success rates on diverse objects of unseen categories in both simulation and real-world experiments.

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