The single-atom M-N-C(M typically being Co or Fe)is a prominent material with exceptional reactivity in areas of catalysis for sustainable energy.However,the formation of metal nanoparticles in M-N-C materials is coup...The single-atom M-N-C(M typically being Co or Fe)is a prominent material with exceptional reactivity in areas of catalysis for sustainable energy.However,the formation of metal nanoparticles in M-N-C materials is coupled with hightemperature calcination conditions,limiting the density of M-Nx active sites and thus restricting the catalytic performance of such catalysts.Herein,we describe an effective decoupling strategy to construct high-density M-Nx active sites by generating polyfurfuryl alcohol in the MOF precursor,effectively preventing the formation of metal nanoparticles even with up to 6.377%cobalt loading.This catalyst showed a high H_(2) production rate of 778mLgcat^(−1) h^(−1) when used in the dehydrogenation reaction of formic acid.In addition to the high density of the active site,a curved carbon surface in the structure is also thought to be the reason for the high performance of the catalyst.展开更多
With the large-scale integration of fracturing unit’s on-site construction,traditional industrial buses are increasingly unable to meet the requirements for the quantity transmission between various equipment in larg...With the large-scale integration of fracturing unit’s on-site construction,traditional industrial buses are increasingly unable to meet the requirements for the quantity transmission between various equipment in large-scale fracturing units,and different models of different equipment manufacturers cannot cooperate with each other as there are“Islands of information”in the control system.This article uses industrial Ethernet as the physical medium for data transmission.In addition,different equipment manufacturers use OPC as the core technology of the fracturing unit control system network,and set up an intelligent fracturing unit control system,so that the control network can quickly,accurately,and safely control the fracturing truck control system.The sand truck control system monitors and analyzes,saves,and prints the construction data in the vehicle instrument.At the same time,the network control system uses the vehicle instrument as the core of the network.It can control fracturing vehicles from different manufacturers.The sand mixer truck performs network control,which effectively avoids incompatibilities between various equipment manufacturers at the construction site.展开更多
This paper presents a BP neural network-based algorithm for the iden-tification of coronary heart disease through the clinical data of cardiology for many years and the personal physiological attributes easily obtained...This paper presents a BP neural network-based algorithm for the iden-tification of coronary heart disease through the clinical data of cardiology for many years and the personal physiological attributes easily obtained in daily life.The goal of this paper is to judge whether it may have coronary heart disease by testing the attribute values of the tester.First,through the training of samples,the net-work model structure is designed,and a relatively good neural network model is obtained.Second,according to the model,the possibility of coronary heart disease was calculated.展开更多
基金National Natural Science Foundation of China,Grant/Award Numbers:21603054,31671930Innovation and entrepreneurship training program for college students of Hebei Agricultural University,Grant/Award Numbers:2019085,s202010086046+2 种基金Scientific Research Development Fund project of Hebei Agricultural University,Grant/Award Number:JY2020028the Natural Science Foundation of Hebei Province,Grant/Award Numbers:B2016204131,B2016204136Young Topnotch Talents Foundation of Hebei Provincial Universities,Grant/Award Number:BJ2016027.
文摘The single-atom M-N-C(M typically being Co or Fe)is a prominent material with exceptional reactivity in areas of catalysis for sustainable energy.However,the formation of metal nanoparticles in M-N-C materials is coupled with hightemperature calcination conditions,limiting the density of M-Nx active sites and thus restricting the catalytic performance of such catalysts.Herein,we describe an effective decoupling strategy to construct high-density M-Nx active sites by generating polyfurfuryl alcohol in the MOF precursor,effectively preventing the formation of metal nanoparticles even with up to 6.377%cobalt loading.This catalyst showed a high H_(2) production rate of 778mLgcat^(−1) h^(−1) when used in the dehydrogenation reaction of formic acid.In addition to the high density of the active site,a curved carbon surface in the structure is also thought to be the reason for the high performance of the catalyst.
文摘With the large-scale integration of fracturing unit’s on-site construction,traditional industrial buses are increasingly unable to meet the requirements for the quantity transmission between various equipment in large-scale fracturing units,and different models of different equipment manufacturers cannot cooperate with each other as there are“Islands of information”in the control system.This article uses industrial Ethernet as the physical medium for data transmission.In addition,different equipment manufacturers use OPC as the core technology of the fracturing unit control system network,and set up an intelligent fracturing unit control system,so that the control network can quickly,accurately,and safely control the fracturing truck control system.The sand truck control system monitors and analyzes,saves,and prints the construction data in the vehicle instrument.At the same time,the network control system uses the vehicle instrument as the core of the network.It can control fracturing vehicles from different manufacturers.The sand mixer truck performs network control,which effectively avoids incompatibilities between various equipment manufacturers at the construction site.
文摘This paper presents a BP neural network-based algorithm for the iden-tification of coronary heart disease through the clinical data of cardiology for many years and the personal physiological attributes easily obtained in daily life.The goal of this paper is to judge whether it may have coronary heart disease by testing the attribute values of the tester.First,through the training of samples,the net-work model structure is designed,and a relatively good neural network model is obtained.Second,according to the model,the possibility of coronary heart disease was calculated.
