The newly discovered Shanzhuang BIF is hosted in the Shancaoyu Formation of the Taishan Group within the Eastern Block,southeastern margin of the North China Craton.The ores can be subdivided into three types in terms...The newly discovered Shanzhuang BIF is hosted in the Shancaoyu Formation of the Taishan Group within the Eastern Block,southeastern margin of the North China Craton.The ores can be subdivided into three types in terms of mineral assemblages,corresponding to three types(Ⅰ,Ⅱ,Ⅲ).The element concentration of the type Ⅰ magnetite is similar to that of the type Ⅱ magnetite,while the type Ⅲ magnetite is similar to that of the schist.In general,magnetite and hemat ite grains from the ores show high concentrations of Mn(1317,1162 ppm),Co(787,1023 ppm),Al(2224,2435 ppm)and Ti(540,300 ppm),Whereas magnetite is depleted in Si(420 ppm)and hematite enriched in Si(1690 ppm).Detailed petrographic and mineral chemical analysis of magnetite,hematite,amphibole/hornblende and pyroxene,reveals that almost all the minerals occur as subhedral-anhedral grains with pits and fractures,and the BIF is recrystallized to metamorphic assemblages of high amphibolite facies.Hornblende is highly enriched in Fe,Mg and Ca,but depleted in K and Na,mostly belonging to magnesiohornblende.In addition,the ratios of Mg/(Mg+Fe^2+),Fe^3+/(Fe^3++Fe^2+),Si/(Si+Ti+Al)and Al/Si are 0.48-0.64,0.17-0.36,0.79-0.88 and 0.14-0.27,respectively.It is suggested that hornblende is neither a typical magmatic origin nor a typical metamorphic.Pyroxene has the characteristics of high Ca and Fe,but low Ti and Al,with end-member components En,Wo and Fs in the ranges of 25.22-28.64 wt%,43.71-46.40 wt%and 24.51-27.62 wt%,respectively,belonging to clinopyroxene,and mostly diopside,might be formed during the prograde metamorphism in the absence of H2 O.The carbonate such as dolomite-ankerite series is probably a precursor mineral of the BIF deposit.Mass mineral chemical and structural characteristics indicate that the Shanzhuang iron deposit has been subjected to varying degrees of oxidized hydrothermal superimposed reformation,metamorphism,and supergenesis after mineralization,during which some elements have been migrated in some degree.展开更多
The mobile Internet and Internet of Things are considered the main driving forc⁃es of 5G,as they require an ultra-dense deployment of small base stations to meet the in⁃creasing traffic demands.5G new radio(NR)access ...The mobile Internet and Internet of Things are considered the main driving forc⁃es of 5G,as they require an ultra-dense deployment of small base stations to meet the in⁃creasing traffic demands.5G new radio(NR)access is designed to enable denser network deployments,while leading to a significant concern about the network energy consump⁃tion.Energy consumption is a main part of network operational expense(OPEX),and base stations work as the main energy consumption equipment in the radio access network(RAN).In order to achieve RAN energy efficiency(EE),switching off cells is a strategy to reduce the energy consumption of networks during off-peak conditions.This paper intro⁃duces NR cell switching on/off schemes in 3GPP to achieve energy efficiency in 5G RAN,including intra-system energy saving(ES)scheme and inter-system ES scheme.Addition⁃ally,NR architectural features including central unit/distributed unit(CU/DU)split and dual connectivity(DC)are also considered in NR energy saving.How to apply artificial in⁃telligence(AI)into 5G networks is a new topic in 3GPP,and we also propose a machine learning(ML)based scheme to save energy by switching off the cell selected relying on the load prediction.According to the experiment results in the real wireless environment,the ML based ES scheme can reduce more power consumption than the conventional ES scheme without load prediction.展开更多
A chemical system for facile and accurate detection of 2,4-dichlorophenol （DCP） via iron （Ⅱ） phthalocyanine （Fe（Ⅱ）Pc） catalyzed chromogenic reaction is reported for the first time. In this system, DCP could ...A chemical system for facile and accurate detection of 2,4-dichlorophenol （DCP） via iron （Ⅱ） phthalocyanine （Fe（Ⅱ）Pc） catalyzed chromogenic reaction is reported for the first time. In this system, DCP could be oxidized by dioxygen with the catalysis of Fe（Ⅱ）Pc and then coupled with 4-aminoantipyrine （4-AAP） to generate pink antipyrilquinoneimine dye. Control experiments showed that the addition of ethanol could obviously enhance the catalytic activity of heterogeneous Fe（Ⅱ）Pc catalysts because of the partial dissolution of Fe（II）Pc nanocubes, which was confirmed by the SEM analysis. On the basis of the detection results of DCP in the range from 2×10^-5 to 9×10^-4 mol/L, we obtained a regression equation （A = 0.187 5 ＋ 0.01 209C （R2=-0.995 6）） with the detection limit （3σ） of 3.26×10^-6 mol/L, which could be successfully used in detecting the real samples.展开更多
Objective The central Tianshan block mainly consists of the Precambrian metamorphic basement,Ordovician–Silurian meta-sedimentary rocks and Carboniferous–Permian sedimentary rocks.
To meet the key performance requirement of the 5G network and the demand of the growing number of mobile subscribers,millions of base stations are being constructed.5G New Radio is designed to enable denser network de...To meet the key performance requirement of the 5G network and the demand of the growing number of mobile subscribers,millions of base stations are being constructed.5G New Radio is designed to enable denser network deployments,which raises significant concerns about network energy consumption.Machine learning(ML),as a kind of artificial intelligence(AI)technologies,can enhance network optimization performance and energy efficiency.In this paper,we propose AI/ML-assisted energy-saving strategies to achieve optimal performance in terms of cell shutdown duration and energy efficiency.To realize network intelligence,we put forward the concept of intrinsic AI,which integrates AI into every aspect of wireless communication networks.展开更多
As the wireless communication network undergoes continuous expansion,the challenges associated with network management and optimization are becoming increasingly complex.To address these challenges,the emerging artifi...As the wireless communication network undergoes continuous expansion,the challenges associated with network management and optimization are becoming increasingly complex.To address these challenges,the emerging artificial intelligence(AI)and machine learning(ML)technologies have been introduced as a powerful solution.They empower wireless networks to operate autonomously,predictively,ondemand,and with smart functionality,offering a promising resolution to intricate optimization problems.This paper aims to delve into the prevalent applications of AI/ML technologies in the optimization of wireless networks.The paper not only provides insights into the current landscape but also outlines our vision for the future and considerations regarding the development of an intelligent 6G network.展开更多
Traditional computing method is inefficient for getting key dynamical parameters of complicated structure.Pseudo Excitation Method（PEM）is an effective method for calculation of random vibration.Due to complicated an...Traditional computing method is inefficient for getting key dynamical parameters of complicated structure.Pseudo Excitation Method（PEM）is an effective method for calculation of random vibration.Due to complicated and coupling random vibration in rocket or shuttle launching,the new staging white noise mathematical model is deduced according to the practical launch environment.This deduced model is applied for PEM to calculate the specific structure of Time of Flight Counter（ToFC）.The responses of power spectral density and the relevant dynamic characteristic parameters of ToFC are obtained in terms of the flight acceptance test level.Considering stiffness of fixture structure,the random vibration experiments are conducted in three directions to compare with the revised PEM.The experimental results show the structure can bear the random vibration caused by launch without any damage and key dynamical parameters of ToFC are obtained.The revised PEM is similar with random vibration experiment in dynamical parameters and responses are proved by comparative results.The maximum error is within 9%.The reasons of errors are analyzed to improve reliability of calculation.This research provides an effective method for solutions of computing dynamical characteristic parameters of complicated structure in the process of rocket or shuttle launching.展开更多
基金financially supported by the National Natural Science Foundation of China(Grants No.41503038,41140025,41672084,41372086)Special fund for“Taishan scholars”project in Shandong Province,Key R&D Program of Shandong Province(Grant No.2019GSF109101)+2 种基金Key R&D Program of China(Grants No.2016YFC0600105-04,2016YFC0600606)Shandong Provincial Natural Science Foundation(Grant No.ZR2019PD005)Shandong Key Laboratory of Mineralization Geological Processes and Resources Utilization in Metallic Minerals(Grant No.kfkt201809)。
文摘The newly discovered Shanzhuang BIF is hosted in the Shancaoyu Formation of the Taishan Group within the Eastern Block,southeastern margin of the North China Craton.The ores can be subdivided into three types in terms of mineral assemblages,corresponding to three types(Ⅰ,Ⅱ,Ⅲ).The element concentration of the type Ⅰ magnetite is similar to that of the type Ⅱ magnetite,while the type Ⅲ magnetite is similar to that of the schist.In general,magnetite and hemat ite grains from the ores show high concentrations of Mn(1317,1162 ppm),Co(787,1023 ppm),Al(2224,2435 ppm)and Ti(540,300 ppm),Whereas magnetite is depleted in Si(420 ppm)and hematite enriched in Si(1690 ppm).Detailed petrographic and mineral chemical analysis of magnetite,hematite,amphibole/hornblende and pyroxene,reveals that almost all the minerals occur as subhedral-anhedral grains with pits and fractures,and the BIF is recrystallized to metamorphic assemblages of high amphibolite facies.Hornblende is highly enriched in Fe,Mg and Ca,but depleted in K and Na,mostly belonging to magnesiohornblende.In addition,the ratios of Mg/(Mg+Fe^2+),Fe^3+/(Fe^3++Fe^2+),Si/(Si+Ti+Al)and Al/Si are 0.48-0.64,0.17-0.36,0.79-0.88 and 0.14-0.27,respectively.It is suggested that hornblende is neither a typical magmatic origin nor a typical metamorphic.Pyroxene has the characteristics of high Ca and Fe,but low Ti and Al,with end-member components En,Wo and Fs in the ranges of 25.22-28.64 wt%,43.71-46.40 wt%and 24.51-27.62 wt%,respectively,belonging to clinopyroxene,and mostly diopside,might be formed during the prograde metamorphism in the absence of H2 O.The carbonate such as dolomite-ankerite series is probably a precursor mineral of the BIF deposit.Mass mineral chemical and structural characteristics indicate that the Shanzhuang iron deposit has been subjected to varying degrees of oxidized hydrothermal superimposed reformation,metamorphism,and supergenesis after mineralization,during which some elements have been migrated in some degree.
文摘The mobile Internet and Internet of Things are considered the main driving forc⁃es of 5G,as they require an ultra-dense deployment of small base stations to meet the in⁃creasing traffic demands.5G new radio(NR)access is designed to enable denser network deployments,while leading to a significant concern about the network energy consump⁃tion.Energy consumption is a main part of network operational expense(OPEX),and base stations work as the main energy consumption equipment in the radio access network(RAN).In order to achieve RAN energy efficiency(EE),switching off cells is a strategy to reduce the energy consumption of networks during off-peak conditions.This paper intro⁃duces NR cell switching on/off schemes in 3GPP to achieve energy efficiency in 5G RAN,including intra-system energy saving(ES)scheme and inter-system ES scheme.Addition⁃ally,NR architectural features including central unit/distributed unit(CU/DU)split and dual connectivity(DC)are also considered in NR energy saving.How to apply artificial in⁃telligence(AI)into 5G networks is a new topic in 3GPP,and we also propose a machine learning(ML)based scheme to save energy by switching off the cell selected relying on the load prediction.According to the experiment results in the real wireless environment,the ML based ES scheme can reduce more power consumption than the conventional ES scheme without load prediction.
基金Funded by the National Natural Science Foundation of China(No.61377092)
文摘A chemical system for facile and accurate detection of 2,4-dichlorophenol （DCP） via iron （Ⅱ） phthalocyanine （Fe（Ⅱ）Pc） catalyzed chromogenic reaction is reported for the first time. In this system, DCP could be oxidized by dioxygen with the catalysis of Fe（Ⅱ）Pc and then coupled with 4-aminoantipyrine （4-AAP） to generate pink antipyrilquinoneimine dye. Control experiments showed that the addition of ethanol could obviously enhance the catalytic activity of heterogeneous Fe（Ⅱ）Pc catalysts because of the partial dissolution of Fe（II）Pc nanocubes, which was confirmed by the SEM analysis. On the basis of the detection results of DCP in the range from 2×10^-5 to 9×10^-4 mol/L, we obtained a regression equation （A = 0.187 5 ＋ 0.01 209C （R2=-0.995 6）） with the detection limit （3σ） of 3.26×10^-6 mol/L, which could be successfully used in detecting the real samples.
基金financially supported by the China Geological Survey(grants No.DD20190001,DD20190004)the Fund from the Key Laboratory of Deep-Earth Dynamics of Ministry of Natural Resources and the National Science Foundation of China(grants No.41473053,41573045,41873060 and 41830216)
文摘Objective The central Tianshan block mainly consists of the Precambrian metamorphic basement,Ordovician–Silurian meta-sedimentary rocks and Carboniferous–Permian sedimentary rocks.
文摘To meet the key performance requirement of the 5G network and the demand of the growing number of mobile subscribers,millions of base stations are being constructed.5G New Radio is designed to enable denser network deployments,which raises significant concerns about network energy consumption.Machine learning(ML),as a kind of artificial intelligence(AI)technologies,can enhance network optimization performance and energy efficiency.In this paper,we propose AI/ML-assisted energy-saving strategies to achieve optimal performance in terms of cell shutdown duration and energy efficiency.To realize network intelligence,we put forward the concept of intrinsic AI,which integrates AI into every aspect of wireless communication networks.
基金supported in part by the National Natural Science Foundation of China under Grant No.62201266in part by the Natural Science Foundation of Jiangsu Province under Grant No.BK20210335.
文摘As the wireless communication network undergoes continuous expansion,the challenges associated with network management and optimization are becoming increasingly complex.To address these challenges,the emerging artificial intelligence(AI)and machine learning(ML)technologies have been introduced as a powerful solution.They empower wireless networks to operate autonomously,predictively,ondemand,and with smart functionality,offering a promising resolution to intricate optimization problems.This paper aims to delve into the prevalent applications of AI/ML technologies in the optimization of wireless networks.The paper not only provides insights into the current landscape but also outlines our vision for the future and considerations regarding the development of an intelligent 6G network.
基金Supported by National Natural Science Foundation of China(Grant No.51105025)International Science & Technology Cooperation Program of China(Grant No.2013DFB70110)
文摘Traditional computing method is inefficient for getting key dynamical parameters of complicated structure.Pseudo Excitation Method（PEM）is an effective method for calculation of random vibration.Due to complicated and coupling random vibration in rocket or shuttle launching,the new staging white noise mathematical model is deduced according to the practical launch environment.This deduced model is applied for PEM to calculate the specific structure of Time of Flight Counter（ToFC）.The responses of power spectral density and the relevant dynamic characteristic parameters of ToFC are obtained in terms of the flight acceptance test level.Considering stiffness of fixture structure,the random vibration experiments are conducted in three directions to compare with the revised PEM.The experimental results show the structure can bear the random vibration caused by launch without any damage and key dynamical parameters of ToFC are obtained.The revised PEM is similar with random vibration experiment in dynamical parameters and responses are proved by comparative results.The maximum error is within 9%.The reasons of errors are analyzed to improve reliability of calculation.This research provides an effective method for solutions of computing dynamical characteristic parameters of complicated structure in the process of rocket or shuttle launching.
