Wireless sensor networks(WSN)gather information and sense information samples in a certain region and communicate these readings to a base station(BS).Energy efficiency is considered a major design issue in the WSNs,a...Wireless sensor networks(WSN)gather information and sense information samples in a certain region and communicate these readings to a base station(BS).Energy efficiency is considered a major design issue in the WSNs,and can be addressed using clustering and routing techniques.Information is sent from the source to the BS via routing procedures.However,these routing protocols must ensure that packets are delivered securely,guaranteeing that neither adversaries nor unauthentic individuals have access to the sent information.Secure data transfer is intended to protect the data from illegal access,damage,or disruption.Thus,in the proposed model,secure data transmission is developed in an energy-effective manner.A low-energy adaptive clustering hierarchy(LEACH)is developed to efficiently transfer the data.For the intrusion detection systems(IDS),Fuzzy logic and artificial neural networks(ANNs)are proposed.Initially,the nodes were randomly placed in the network and initialized to gather information.To ensure fair energy dissipation between the nodes,LEACH randomly chooses cluster heads(CHs)and allocates this role to the various nodes based on a round-robin management mechanism.The intrusion-detection procedure was then utilized to determine whether intruders were present in the network.Within the WSN,a Fuzzy interference rule was utilized to distinguish the malicious nodes from legal nodes.Subsequently,an ANN was employed to distinguish the harmful nodes from suspicious nodes.The effectiveness of the proposed approach was validated using metrics that attained 97%accuracy,97%specificity,and 97%sensitivity of 95%.Thus,it was proved that the LEACH and Fuzzy-based IDS approaches are the best choices for securing data transmission in an energy-efficient manner.展开更多
目的:探索分化抑制因子3及分化抑制因子4(inhibitor of differentiation 3 and inhibitor of differentiation 4,ID3/ID4)两基因在急性髓系白血病(acute myeloid leukemia,AML)患者骨髓中的表达及其临床意义。方法:应用实时荧光定量PCR...目的:探索分化抑制因子3及分化抑制因子4(inhibitor of differentiation 3 and inhibitor of differentiation 4,ID3/ID4)两基因在急性髓系白血病(acute myeloid leukemia,AML)患者骨髓中的表达及其临床意义。方法:应用实时荧光定量PCR的方法检测32例非恶性血液病(设对照组)及133例初诊AML患者骨髓单个核细胞中ID3/ID4转录本水平,通过分组分析两者表达的临床意义。结果:AML患者骨髓中ID3/ID4转录本水平较对照组均显著降低(P=0.001及0.002),并且两者之间表达存在轻度正相关(r=0.282,P=0.001)。接收者操作特征曲线分析揭示ID3/ID4转录本水平可作为辅助诊断AML的潜在分子标志(AUC=0.682,P=0.001及AUC=0.673,P=0.002)。通过分组分析发现ID3低表达组患者年龄略小于ID3高表达组患者(P=0.054),NRAS突变频率略低于ID3高表达组患者(P=0.053)。ID4低表达组患者白细胞计数略高于ID4高表达组患者(P=0.088),CEBPA突变频率略高于ID4高表达组患者(P=0.099)。此外,无论在全部患者还是非M3患者中,ID4低表达组病例经过诱导化疗后达完全缓解的概率略低于ID4高表达组病例(P=0.080及0.065)。生存分析发现AML患者及其亚组(非M3及正常核型)中ID3低表达与ID3高表达组患者总体生存相似(P>0.05),ID4低表达病例的总体生存略低于ID4高表达组病例(P=0.058),而在非M3及正常核型患者中存在显著统计学差异(P=0.014及0.002)。结论:ID3/ID4表达下调可能是AML中的常见分子事件,其中ID4表达可能为AML预后判断提供重要参考。展开更多
先天性糖基化障碍Id型(congenital disorder of glycosylation type Id,CDG-Id)是由于ALG3基因变异,导致编码的α-1,3-甘露糖基转移酶缺陷。本例孕妇32岁,孕7产1,其中第5次单胎妊娠时外院超声提示胎儿畸形,引产后至复旦大学附属妇产科...先天性糖基化障碍Id型(congenital disorder of glycosylation type Id,CDG-Id)是由于ALG3基因变异,导致编码的α-1,3-甘露糖基转移酶缺陷。本例孕妇32岁,孕7产1,其中第5次单胎妊娠时外院超声提示胎儿畸形,引产后至复旦大学附属妇产科医院行基因检测提示为ALG3基因变异[NM_005787:c.67C>T(p.Gln23*),杂合,父源;NM_005787:c.1188G>A(p.Trp396*),杂合,母源]。本次单胎妊娠21周,我院产前超声表现为胎儿多发畸形,以小下颌、小脑蚓部缺失、后颅窝囊性占位、四肢长骨均短小、脊柱侧弯和手关节僵硬为主要表现。孕妇遂至外院引产,引产后基因检测结果证实仍为ALG3基因变异。本文重点介绍CDG-Id型的产前超声表现及遗传学特征,以提高对本病的认识。展开更多
Intrusion detection systems(IDS)are one of the most promising ways for securing data and networks;In recent decades,IDS has used a variety of categorization algorithms.These classifiers,on the other hand,do not work e...Intrusion detection systems(IDS)are one of the most promising ways for securing data and networks;In recent decades,IDS has used a variety of categorization algorithms.These classifiers,on the other hand,do not work effectively unless they are combined with additional algorithms that can alter the classifier’s parameters or select the optimal sub-set of features for the problem.Optimizers are used in tandem with classifiers to increase the stability and with efficiency of the classifiers in detecting invasion.These algorithms,on the other hand,have a number of limitations,particularly when used to detect new types of threats.In this paper,the NSL KDD dataset and KDD Cup 99 is used to find the performance of the proposed classifier model and compared;These two IDS dataset is preprocessed,then Auto Cryptographic Denoising(ACD)adopted to remove noise in the feature of the IDS dataset;the classifier algorithms,K-Means and Neural network classifies the dataset with adam optimizer.IDS classifier is evaluated by measuring performance measures like f-measure,recall,precision,detection rate and accuracy.The neural network obtained the highest classifying accuracy as 91.12%with drop-out function that shows the efficiency of the classifier model with drop-out function for KDD Cup99 dataset.Explaining their power and limitations in the proposed methodology that could be used in future works in the IDS area.展开更多
Studying on the genetic diversity and genetic relationship of flowering cherry cultivars is extremely important for germplasm conservation, cultivar identification and breeding. Flowering cherry is widely cultivated a...Studying on the genetic diversity and genetic relationship of flowering cherry cultivars is extremely important for germplasm conservation, cultivar identification and breeding. Flowering cherry is widely cultivated as an important woody ornamental plant in worldwide, especially Japan, China. However, owning to the morphological similarity, many cultivars are distinguished hardly in non-flowering season. Here, we evaluated the genetic diversity and genetic relationship of 40 flowering cherry cultivars, which are mainly cultivated in China. We selected 13 polymorphicprimers to amplify to allele fragments with fluorescent-labeled capillary electrophoresis technology. The population structure analysis results show that these cultivars could be divided into 4 subpopulations. At the population level, N<sub>a</sub> and N<sub>e</sub> were 6.062, 4.326, respectively. H<sub>o</sub> and H<sub>e</sub> were 0.458 and 0.670, respectively. The Shannon’s information index (I) was 1.417. The Pop3, which originated from P. serrulata, had the highest H<sub>o</sub>, H<sub>e</sub>, and I among the 4 subpopulations. AMOVA showed that only 4% of genetic variation came from populations, the 39% variation came from individuals and 57% (p < 0.05) came from intra-individuals. 5 polymorphic SSR primers were selected to construct molecular ID code system of these cultivars. This analysis on the genetic diversity and relationship of the 40 flowering cherry cultivars will help to insight into the genetic background, relationship of these flowering cherry cultivars and promote to identify similar cultivars.展开更多
2023年9月JAMA刊登了来自美国埃默里大学医学教授Carlos del Rio的文章:COVID-19 in the Fall of 2023-Forgotten but Not Gone,提出了COVID-19可能已被遗忘,但它并没有消失。医生和患者都应该把SARS-CoV-2列入引起重大呼吸系统疾病的...2023年9月JAMA刊登了来自美国埃默里大学医学教授Carlos del Rio的文章:COVID-19 in the Fall of 2023-Forgotten but Not Gone,提出了COVID-19可能已被遗忘,但它并没有消失。医生和患者都应该把SARS-CoV-2列入引起重大呼吸系统疾病的清单中,且保护最脆弱的人群仍是重点。虽然COVID-19不再是一个公共卫生威胁,但感染的增加在可预见的将来或许还会发生。展开更多
Internet services and web-based applications play pivotal roles in various sensitive domains, encompassing e-commerce, e-learning, e-healthcare, and e-payment. However, safeguarding these services poses a significant ...Internet services and web-based applications play pivotal roles in various sensitive domains, encompassing e-commerce, e-learning, e-healthcare, and e-payment. However, safeguarding these services poses a significant challenge, as the need for robust security measures becomes increasingly imperative. This paper presented an innovative method based on differential analyses to detect abrupt changes in network traffic characteristics. The core concept revolves around identifying abrupt alterations in certain characteristics such as input/output volume, the number of TCP connections, or DNS queries—within the analyzed traffic. Initially, the traffic is segmented into distinct sequences of slices, followed by quantifying specific characteristics for each slice. Subsequently, the distance between successive values of these measured characteristics is computed and clustered to detect sudden changes. To accomplish its objectives, the approach combined several techniques, including propositional logic, distance metrics (e.g., Kullback-Leibler Divergence), and clustering algorithms (e.g., K-means). When applied to two distinct datasets, the proposed approach demonstrates exceptional performance, achieving detection rates of up to 100%.展开更多
文摘Wireless sensor networks(WSN)gather information and sense information samples in a certain region and communicate these readings to a base station(BS).Energy efficiency is considered a major design issue in the WSNs,and can be addressed using clustering and routing techniques.Information is sent from the source to the BS via routing procedures.However,these routing protocols must ensure that packets are delivered securely,guaranteeing that neither adversaries nor unauthentic individuals have access to the sent information.Secure data transfer is intended to protect the data from illegal access,damage,or disruption.Thus,in the proposed model,secure data transmission is developed in an energy-effective manner.A low-energy adaptive clustering hierarchy(LEACH)is developed to efficiently transfer the data.For the intrusion detection systems(IDS),Fuzzy logic and artificial neural networks(ANNs)are proposed.Initially,the nodes were randomly placed in the network and initialized to gather information.To ensure fair energy dissipation between the nodes,LEACH randomly chooses cluster heads(CHs)and allocates this role to the various nodes based on a round-robin management mechanism.The intrusion-detection procedure was then utilized to determine whether intruders were present in the network.Within the WSN,a Fuzzy interference rule was utilized to distinguish the malicious nodes from legal nodes.Subsequently,an ANN was employed to distinguish the harmful nodes from suspicious nodes.The effectiveness of the proposed approach was validated using metrics that attained 97%accuracy,97%specificity,and 97%sensitivity of 95%.Thus,it was proved that the LEACH and Fuzzy-based IDS approaches are the best choices for securing data transmission in an energy-efficient manner.
文摘目的:探索分化抑制因子3及分化抑制因子4(inhibitor of differentiation 3 and inhibitor of differentiation 4,ID3/ID4)两基因在急性髓系白血病(acute myeloid leukemia,AML)患者骨髓中的表达及其临床意义。方法:应用实时荧光定量PCR的方法检测32例非恶性血液病(设对照组)及133例初诊AML患者骨髓单个核细胞中ID3/ID4转录本水平,通过分组分析两者表达的临床意义。结果:AML患者骨髓中ID3/ID4转录本水平较对照组均显著降低(P=0.001及0.002),并且两者之间表达存在轻度正相关(r=0.282,P=0.001)。接收者操作特征曲线分析揭示ID3/ID4转录本水平可作为辅助诊断AML的潜在分子标志(AUC=0.682,P=0.001及AUC=0.673,P=0.002)。通过分组分析发现ID3低表达组患者年龄略小于ID3高表达组患者(P=0.054),NRAS突变频率略低于ID3高表达组患者(P=0.053)。ID4低表达组患者白细胞计数略高于ID4高表达组患者(P=0.088),CEBPA突变频率略高于ID4高表达组患者(P=0.099)。此外,无论在全部患者还是非M3患者中,ID4低表达组病例经过诱导化疗后达完全缓解的概率略低于ID4高表达组病例(P=0.080及0.065)。生存分析发现AML患者及其亚组(非M3及正常核型)中ID3低表达与ID3高表达组患者总体生存相似(P>0.05),ID4低表达病例的总体生存略低于ID4高表达组病例(P=0.058),而在非M3及正常核型患者中存在显著统计学差异(P=0.014及0.002)。结论:ID3/ID4表达下调可能是AML中的常见分子事件,其中ID4表达可能为AML预后判断提供重要参考。
文摘先天性糖基化障碍Id型(congenital disorder of glycosylation type Id,CDG-Id)是由于ALG3基因变异,导致编码的α-1,3-甘露糖基转移酶缺陷。本例孕妇32岁,孕7产1,其中第5次单胎妊娠时外院超声提示胎儿畸形,引产后至复旦大学附属妇产科医院行基因检测提示为ALG3基因变异[NM_005787:c.67C>T(p.Gln23*),杂合,父源;NM_005787:c.1188G>A(p.Trp396*),杂合,母源]。本次单胎妊娠21周,我院产前超声表现为胎儿多发畸形,以小下颌、小脑蚓部缺失、后颅窝囊性占位、四肢长骨均短小、脊柱侧弯和手关节僵硬为主要表现。孕妇遂至外院引产,引产后基因检测结果证实仍为ALG3基因变异。本文重点介绍CDG-Id型的产前超声表现及遗传学特征,以提高对本病的认识。
文摘Intrusion detection systems(IDS)are one of the most promising ways for securing data and networks;In recent decades,IDS has used a variety of categorization algorithms.These classifiers,on the other hand,do not work effectively unless they are combined with additional algorithms that can alter the classifier’s parameters or select the optimal sub-set of features for the problem.Optimizers are used in tandem with classifiers to increase the stability and with efficiency of the classifiers in detecting invasion.These algorithms,on the other hand,have a number of limitations,particularly when used to detect new types of threats.In this paper,the NSL KDD dataset and KDD Cup 99 is used to find the performance of the proposed classifier model and compared;These two IDS dataset is preprocessed,then Auto Cryptographic Denoising(ACD)adopted to remove noise in the feature of the IDS dataset;the classifier algorithms,K-Means and Neural network classifies the dataset with adam optimizer.IDS classifier is evaluated by measuring performance measures like f-measure,recall,precision,detection rate and accuracy.The neural network obtained the highest classifying accuracy as 91.12%with drop-out function that shows the efficiency of the classifier model with drop-out function for KDD Cup99 dataset.Explaining their power and limitations in the proposed methodology that could be used in future works in the IDS area.
文摘Studying on the genetic diversity and genetic relationship of flowering cherry cultivars is extremely important for germplasm conservation, cultivar identification and breeding. Flowering cherry is widely cultivated as an important woody ornamental plant in worldwide, especially Japan, China. However, owning to the morphological similarity, many cultivars are distinguished hardly in non-flowering season. Here, we evaluated the genetic diversity and genetic relationship of 40 flowering cherry cultivars, which are mainly cultivated in China. We selected 13 polymorphicprimers to amplify to allele fragments with fluorescent-labeled capillary electrophoresis technology. The population structure analysis results show that these cultivars could be divided into 4 subpopulations. At the population level, N<sub>a</sub> and N<sub>e</sub> were 6.062, 4.326, respectively. H<sub>o</sub> and H<sub>e</sub> were 0.458 and 0.670, respectively. The Shannon’s information index (I) was 1.417. The Pop3, which originated from P. serrulata, had the highest H<sub>o</sub>, H<sub>e</sub>, and I among the 4 subpopulations. AMOVA showed that only 4% of genetic variation came from populations, the 39% variation came from individuals and 57% (p < 0.05) came from intra-individuals. 5 polymorphic SSR primers were selected to construct molecular ID code system of these cultivars. This analysis on the genetic diversity and relationship of the 40 flowering cherry cultivars will help to insight into the genetic background, relationship of these flowering cherry cultivars and promote to identify similar cultivars.
文摘2023年9月JAMA刊登了来自美国埃默里大学医学教授Carlos del Rio的文章:COVID-19 in the Fall of 2023-Forgotten but Not Gone,提出了COVID-19可能已被遗忘,但它并没有消失。医生和患者都应该把SARS-CoV-2列入引起重大呼吸系统疾病的清单中,且保护最脆弱的人群仍是重点。虽然COVID-19不再是一个公共卫生威胁,但感染的增加在可预见的将来或许还会发生。
文摘Internet services and web-based applications play pivotal roles in various sensitive domains, encompassing e-commerce, e-learning, e-healthcare, and e-payment. However, safeguarding these services poses a significant challenge, as the need for robust security measures becomes increasingly imperative. This paper presented an innovative method based on differential analyses to detect abrupt changes in network traffic characteristics. The core concept revolves around identifying abrupt alterations in certain characteristics such as input/output volume, the number of TCP connections, or DNS queries—within the analyzed traffic. Initially, the traffic is segmented into distinct sequences of slices, followed by quantifying specific characteristics for each slice. Subsequently, the distance between successive values of these measured characteristics is computed and clustered to detect sudden changes. To accomplish its objectives, the approach combined several techniques, including propositional logic, distance metrics (e.g., Kullback-Leibler Divergence), and clustering algorithms (e.g., K-means). When applied to two distinct datasets, the proposed approach demonstrates exceptional performance, achieving detection rates of up to 100%.
