The thermostability and the interference-resisting property of germanium (Ge) in graphite furnace atomic absorption spectrometry (GF.AAS) were increased remarkably when palladium and lithium nitrates were used as comp...The thermostability and the interference-resisting property of germanium (Ge) in graphite furnace atomic absorption spectrometry (GF.AAS) were increased remarkably when palladium and lithium nitrates were used as complexing matrix modifiers and barium nitrate as supplementary matrix modifier.展开更多
Interference in the data of geochemical hydrocarbon exploration is a large obstacle for anomaly recognition. The multiresolution analysis of wavelet analysis can extract the information at different scales so as to pr...Interference in the data of geochemical hydrocarbon exploration is a large obstacle for anomaly recognition. The multiresolution analysis of wavelet analysis can extract the information at different scales so as to provide a powerful tool for information analysis and processing. Based on the analysis of the geometric nature of hydrocarbon anomalies and background, Mallat wavelet and symmetric border treatment are selected and data pre-processing (logarithm-normalization) is established. This approach provide good results in Shandong and Inner Mongolia, China. It is demonstrated that this approach overcome the disadvantage of backgound variation in the window (interference in window), used in moving average, frame filtering and spatial and scaling modeling methods.展开更多
Wireless Body Area Networks(WBANs)comprise various sensors to monitor and collect various vital signals,such as blood pressure,pulse,heartbeat,body temperature,and blood sugar.A dense and mobile WBAN often suffers fro...Wireless Body Area Networks(WBANs)comprise various sensors to monitor and collect various vital signals,such as blood pressure,pulse,heartbeat,body temperature,and blood sugar.A dense and mobile WBAN often suffers from interference,which causes serious problems,such as wasting energy and degrading throughput.In reality,not all of the sensors in WBAN need to be active at the same time.Therefore,they can be divided into different groups so that each group works in turn to avoid interference.In this paper,a Nest-Based WBAN Scheduling(NBWS)algorithm is proposed to cluster sensors of the same types in a single or multiple WBANs into different groups to avoid interference.Particularly,we borrow the graph coloring theory to schedule all groups to work using a Time Division for Multimodal Sensor(TDMS)group scheduling model.Both theoretical analysis and experimental results demonstrate that the proposed NBWS algorithm performs better in terms of frequency of collisions,transmission delay,system throughput,and energy consumption compared to the counterpart methods.展开更多
Due to the fading characteristics of wireless channels and the burstiness of data traffic,how to deal with congestion in Ad-hoc networks with effective algorithms is still open and challenging.In this paper,we focus o...Due to the fading characteristics of wireless channels and the burstiness of data traffic,how to deal with congestion in Ad-hoc networks with effective algorithms is still open and challenging.In this paper,we focus on enabling congestion control to minimize network transmission delays through flexible power control.To effectively solve the congestion problem,we propose a distributed cross-layer scheduling algorithm,which is empowered by graph-based multi-agent deep reinforcement learning.The transmit power is adaptively adjusted in real-time by our algorithm based only on local information(i.e.,channel state information and queue length)and local communication(i.e.,information exchanged with neighbors).Moreover,the training complexity of the algorithm is low due to the regional cooperation based on the graph attention network.In the evaluation,we show that our algorithm can reduce the transmission delay of data flow under severe signal interference and drastically changing channel states,and demonstrate the adaptability and stability in different topologies.The method is general and can be extended to various types of topologies.展开更多
Resonant beam communications (RBCom), which adopts oscillating photons between two separate retroreflectors for information transmission, exhibits potential advantages over other types of wireless optical communicatio...Resonant beam communications (RBCom), which adopts oscillating photons between two separate retroreflectors for information transmission, exhibits potential advantages over other types of wireless optical communications (WOC). However, echo interference generated by the modulated beam reflected from the receiver affects the transmission of the desired information. To tackle this challenge, a synchronization-based point-to-point RBCom system is proposed to eliminate the echo interference, and the design for the transmitter and receiver is discussed. Subsequently,the performance of the proposed RBCom is evaluated and compared with that of visible light communications(VLC)and free space optical communications (FOC). Finally, future research directions are outlined and several implementation challenges of RBCom systems are highlighted.展开更多
Effective annotation of in vivo drug metabolites using liquid chromatography-mass spectrometry(LCeMS)remains a formidable challenge.Herein,a metabolic reaction-based molecular networking(MRMN)strategy is introduced,wh...Effective annotation of in vivo drug metabolites using liquid chromatography-mass spectrometry(LCeMS)remains a formidable challenge.Herein,a metabolic reaction-based molecular networking(MRMN)strategy is introduced,which enables the“one-pot”discovery of prototype drugs and their metabolites.MRMN constructs networks by matching metabolic reactions and evaluating MS^(2)spectral similarity,incorporating innovations and improvements in feature degradation of MS^(2)spectra,exclusion of endogenous interference,and recognition of redundant nodes.A minimum 75%correlation between structural similarity and MS^(2)similarity of neighboring metabolites was ensured,mitigating false negatives due to spectral feature degradation.At least 79%of nodes,49%of edges,and 97%of subnetworks were reduced by an exclusion strategy of endogenous ions compared to the Global Natural Products Social Molecular Networking(GNPS)platform.Furthermore,an approach of redundant ions identification was refined,achieving a 10%-40%recognition rate across different samples.The effectiveness ofMRMN was validated through a single compound,plant extract,and mixtures of multiple plant extracts.Notably,MRMN is freely accessible online at https://yaolab.network,broadening its applications.展开更多
文摘The thermostability and the interference-resisting property of germanium (Ge) in graphite furnace atomic absorption spectrometry (GF.AAS) were increased remarkably when palladium and lithium nitrates were used as complexing matrix modifiers and barium nitrate as supplementary matrix modifier.
文摘Interference in the data of geochemical hydrocarbon exploration is a large obstacle for anomaly recognition. The multiresolution analysis of wavelet analysis can extract the information at different scales so as to provide a powerful tool for information analysis and processing. Based on the analysis of the geometric nature of hydrocarbon anomalies and background, Mallat wavelet and symmetric border treatment are selected and data pre-processing (logarithm-normalization) is established. This approach provide good results in Shandong and Inner Mongolia, China. It is demonstrated that this approach overcome the disadvantage of backgound variation in the window (interference in window), used in moving average, frame filtering and spatial and scaling modeling methods.
基金the Ningbo International Science and Technology Cooperation Programme(2016D10008)the Ningbo Key Science and Technology plan(2025)projects(2018B10075,2019B10125,2019B10028)+2 种基金the Marine Biotechnology and Marine Engineering Discipline Group(422004582)the Project of Research and Development of Intelligent Resource Allocation and Sharing Platform for Marine Electronic Information Industry(2017GY116)the Key science and technology projects of Zhejiang Province(2020C03064).
文摘Wireless Body Area Networks(WBANs)comprise various sensors to monitor and collect various vital signals,such as blood pressure,pulse,heartbeat,body temperature,and blood sugar.A dense and mobile WBAN often suffers from interference,which causes serious problems,such as wasting energy and degrading throughput.In reality,not all of the sensors in WBAN need to be active at the same time.Therefore,they can be divided into different groups so that each group works in turn to avoid interference.In this paper,a Nest-Based WBAN Scheduling(NBWS)algorithm is proposed to cluster sensors of the same types in a single or multiple WBANs into different groups to avoid interference.Particularly,we borrow the graph coloring theory to schedule all groups to work using a Time Division for Multimodal Sensor(TDMS)group scheduling model.Both theoretical analysis and experimental results demonstrate that the proposed NBWS algorithm performs better in terms of frequency of collisions,transmission delay,system throughput,and energy consumption compared to the counterpart methods.
基金supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.RS-2022-00155885, Artificial Intelligence Convergence Innovation Human Resources Development (Hanyang University ERICA))supported by the National Natural Science Foundation of China under Grant No. 61971264the National Natural Science Foundation of China/Research Grants Council Collaborative Research Scheme under Grant No. 62261160390
文摘Due to the fading characteristics of wireless channels and the burstiness of data traffic,how to deal with congestion in Ad-hoc networks with effective algorithms is still open and challenging.In this paper,we focus on enabling congestion control to minimize network transmission delays through flexible power control.To effectively solve the congestion problem,we propose a distributed cross-layer scheduling algorithm,which is empowered by graph-based multi-agent deep reinforcement learning.The transmit power is adaptively adjusted in real-time by our algorithm based only on local information(i.e.,channel state information and queue length)and local communication(i.e.,information exchanged with neighbors).Moreover,the training complexity of the algorithm is low due to the regional cooperation based on the graph attention network.In the evaluation,we show that our algorithm can reduce the transmission delay of data flow under severe signal interference and drastically changing channel states,and demonstrate the adaptability and stability in different topologies.The method is general and can be extended to various types of topologies.
基金supported in part by the Natural Science Foundation of China under Grant 62341112in part by the Basic Research Project of Hetao Shenzhen-HK S&T Cooperation Zone under Grant HZQBKCZYZ-2021067+3 种基金in part by the Key Project of Shenzhen under Grant JCYJ20220818103006013in part by Shenzhen High-Tech Zone Project under Grant KC2022KCCX0041in part by Guangdong Provincial Key Laboratory of Future Networks of Intelligence under Grant 2022B1212010001in part by Shenzhen Key Laboratory of Big Data and Artificial Intelligence under Grant ZDSYS201707251409055.
文摘Resonant beam communications (RBCom), which adopts oscillating photons between two separate retroreflectors for information transmission, exhibits potential advantages over other types of wireless optical communications (WOC). However, echo interference generated by the modulated beam reflected from the receiver affects the transmission of the desired information. To tackle this challenge, a synchronization-based point-to-point RBCom system is proposed to eliminate the echo interference, and the design for the transmitter and receiver is discussed. Subsequently,the performance of the proposed RBCom is evaluated and compared with that of visible light communications(VLC)and free space optical communications (FOC). Finally, future research directions are outlined and several implementation challenges of RBCom systems are highlighted.
基金was financially supported by the National Natural Science Foundation of China(U23A20500,82374011,82474050,82404818)the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTU-D-202203,China)+6 种基金the Guangdong Basic and Applied Basic Research Foundation(2025A1515011795,2023A1515011144,2024A1515012714,2024A1515011699,China)the Guangzhou Basic and Applied Basic Research Foundation(2024A04J3398,China)the China Postdoctoral Science Foundation(2023M741395)the Postdoctoral Fellowship Program of CPSF(GZB20240274,China)the Natural Science Foundation of Guangxi(2025GXNSFBA069293,China)the Scientific Research Start-up Funding Project of Guangxi University(ZX01080033724006,China)supported by the Fundamental Research Funds for the Central Universities(China).
文摘Effective annotation of in vivo drug metabolites using liquid chromatography-mass spectrometry(LCeMS)remains a formidable challenge.Herein,a metabolic reaction-based molecular networking(MRMN)strategy is introduced,which enables the“one-pot”discovery of prototype drugs and their metabolites.MRMN constructs networks by matching metabolic reactions and evaluating MS^(2)spectral similarity,incorporating innovations and improvements in feature degradation of MS^(2)spectra,exclusion of endogenous interference,and recognition of redundant nodes.A minimum 75%correlation between structural similarity and MS^(2)similarity of neighboring metabolites was ensured,mitigating false negatives due to spectral feature degradation.At least 79%of nodes,49%of edges,and 97%of subnetworks were reduced by an exclusion strategy of endogenous ions compared to the Global Natural Products Social Molecular Networking(GNPS)platform.Furthermore,an approach of redundant ions identification was refined,achieving a 10%-40%recognition rate across different samples.The effectiveness ofMRMN was validated through a single compound,plant extract,and mixtures of multiple plant extracts.Notably,MRMN is freely accessible online at https://yaolab.network,broadening its applications.
