A new millet (Setaria italica Beauv) variety, super early-mature millet No.1, was bred by means of gene bank breedingmethod of target characters. This variety has the following outstanding characters. (1) Super early-...A new millet (Setaria italica Beauv) variety, super early-mature millet No.1, was bred by means of gene bank breedingmethod of target characters. This variety has the following outstanding characters. (1) Super early-mature. This varietyonly needs 1550C effective accumulated temperature and can normally maturate in the Bashang Region in Hebei Provinceof Chi na, which can break through the limit zone of millet cultivation and move the cultivation zone northward greatly. (2)Multi-spikes, in addition to the effect tilling at the top, the nodes in the low-middle part also can produce spikes. (3) Sweetstem have high sugar content. The contents of whole-sugar, soluable sugar and deoxidized sugar are 74.8, 200.5, 237.2%higher than the regular varieties respectively. (4) High gross protein content. The content of gross protein is higher thanthe regular varieties by 3.9-30.4%. (5)Changeable grain color. The grain color of super early-mature millet No.1 is red inShijiazhuang, but yellow in the Bashang region. In addition, this variety is characterized by good quality, high yield, andgood synthetic traits展开更多
Cloud Computing(CC)provides data storage options as well as computing services to its users through the Internet.On the other hand,cloud users are concerned about security and privacy issues due to the increased numbe...Cloud Computing(CC)provides data storage options as well as computing services to its users through the Internet.On the other hand,cloud users are concerned about security and privacy issues due to the increased number of cyberattacks.Data protection has become an important issue since the users’information gets exposed to third parties.Computer networks are exposed to different types of attacks which have extensively grown in addition to the novel intrusion methods and hacking tools.Intrusion Detection Systems(IDSs)can be used in a network to manage suspicious activities.These IDSs monitor the activities of the CC environment and decide whether an activity is legitimate(normal)or malicious(intrusive)based on the established system’s confidentiality,availability and integrity of the data sources.In the current study,a Chaotic Metaheuristics with Optimal Multi-Spiking Neural Network-based Intrusion Detection(CMOMSNN-ID)model is proposed to secure the cloud environment.The presented CMOMSNNID model involves the Chaotic Artificial Bee Colony Optimization-based Feature Selection(CABC-FS)technique to reduce the curse of dimensionality.In addition,the Multi-Spiking Neural Network(MSNN)classifier is also used based on the simulation of brain functioning.It is applied to resolve pattern classification problems.In order to fine-tune the parameters relevant to theMSNN model,theWhale Optimization Algorithm(WOA)is employed to boost the classification results.To demonstrate the superiority of the proposed CMOMSNN-ID model,a useful set of simulations was performed.The simulation outcomes inferred that the proposed CMOMSNN-ID model accomplished a superior performance over other models with a maximum accuracy of 99.20%.展开更多
采用目标性状基因库育种法培育出甜秆多穗型超早熟谷子(Setaria italica Beauv)新种质超早熟1号,该品种具有以下突出特点:(1)超早熟,生育期间仅需有效积温1 550℃左右,在海拔1 600m以上的河北省坝头地带正常成熟,突破谷子“育成种...采用目标性状基因库育种法培育出甜秆多穗型超早熟谷子(Setaria italica Beauv)新种质超早熟1号,该品种具有以下突出特点:(1)超早熟,生育期间仅需有效积温1 550℃左右,在海拔1 600m以上的河北省坝头地带正常成熟,突破谷子“育成种”栽培的禁区,将我国谷子种植界限大大北移;(2)多穗,该品种不但具有分蘖成穗特性,而且中下部节间可产生多个分枝穗,是少有的谷子多穗型新种质;(3)秸秆甜、含糖量高,其秸秆全糖、可溶性糖、还原糖含量分别高出同产地普通品种74.8%、200.5%、237.2%;(4)粗蛋白含量高,高于普通品种3.9%～30.4%;(5)粒色可变,在石家庄种植为红谷,在河北省坝上种植为黄谷;该品种还具有优质高产综合性状优良的特点。展开更多
基金This work was supported by the National 863 Program of China(2001AA241251).
文摘A new millet (Setaria italica Beauv) variety, super early-mature millet No.1, was bred by means of gene bank breedingmethod of target characters. This variety has the following outstanding characters. (1) Super early-mature. This varietyonly needs 1550C effective accumulated temperature and can normally maturate in the Bashang Region in Hebei Provinceof Chi na, which can break through the limit zone of millet cultivation and move the cultivation zone northward greatly. (2)Multi-spikes, in addition to the effect tilling at the top, the nodes in the low-middle part also can produce spikes. (3) Sweetstem have high sugar content. The contents of whole-sugar, soluable sugar and deoxidized sugar are 74.8, 200.5, 237.2%higher than the regular varieties respectively. (4) High gross protein content. The content of gross protein is higher thanthe regular varieties by 3.9-30.4%. (5)Changeable grain color. The grain color of super early-mature millet No.1 is red inShijiazhuang, but yellow in the Bashang region. In addition, this variety is characterized by good quality, high yield, andgood synthetic traits
基金This research work was funded by Institutional Fund Projects under Grant No.(IFPHI-099-120-2020)..
文摘Cloud Computing(CC)provides data storage options as well as computing services to its users through the Internet.On the other hand,cloud users are concerned about security and privacy issues due to the increased number of cyberattacks.Data protection has become an important issue since the users’information gets exposed to third parties.Computer networks are exposed to different types of attacks which have extensively grown in addition to the novel intrusion methods and hacking tools.Intrusion Detection Systems(IDSs)can be used in a network to manage suspicious activities.These IDSs monitor the activities of the CC environment and decide whether an activity is legitimate(normal)or malicious(intrusive)based on the established system’s confidentiality,availability and integrity of the data sources.In the current study,a Chaotic Metaheuristics with Optimal Multi-Spiking Neural Network-based Intrusion Detection(CMOMSNN-ID)model is proposed to secure the cloud environment.The presented CMOMSNNID model involves the Chaotic Artificial Bee Colony Optimization-based Feature Selection(CABC-FS)technique to reduce the curse of dimensionality.In addition,the Multi-Spiking Neural Network(MSNN)classifier is also used based on the simulation of brain functioning.It is applied to resolve pattern classification problems.In order to fine-tune the parameters relevant to theMSNN model,theWhale Optimization Algorithm(WOA)is employed to boost the classification results.To demonstrate the superiority of the proposed CMOMSNN-ID model,a useful set of simulations was performed.The simulation outcomes inferred that the proposed CMOMSNN-ID model accomplished a superior performance over other models with a maximum accuracy of 99.20%.
文摘采用目标性状基因库育种法培育出甜秆多穗型超早熟谷子(Setaria italica Beauv)新种质超早熟1号,该品种具有以下突出特点:(1)超早熟,生育期间仅需有效积温1 550℃左右,在海拔1 600m以上的河北省坝头地带正常成熟,突破谷子“育成种”栽培的禁区,将我国谷子种植界限大大北移;(2)多穗,该品种不但具有分蘖成穗特性,而且中下部节间可产生多个分枝穗,是少有的谷子多穗型新种质;(3)秸秆甜、含糖量高,其秸秆全糖、可溶性糖、还原糖含量分别高出同产地普通品种74.8%、200.5%、237.2%;(4)粗蛋白含量高,高于普通品种3.9%～30.4%;(5)粒色可变,在石家庄种植为红谷,在河北省坝上种植为黄谷;该品种还具有优质高产综合性状优良的特点。
