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"Headmaster rank system"Helps Educators Run Schools
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作者 Zhuo Zhang 《Journal of Contemporary Educational Research》 2020年第5期32-35,共4页
In the process of promoting the principal level system,there are often practical dilemmas such as the dislocation of modern school system construction,the dislocation of school values,the absence of assessment and eva... In the process of promoting the principal level system,there are often practical dilemmas such as the dislocation of modern school system construction,the dislocation of school values,the absence of assessment and evaluation mechanisms,and the lack of endogenous development of subjects.Therefore,it is necessary to actively establish a modern school system,stimulate the vitality of educators in running schools,adhere to the conscience of educating people,call on the professional awareness of educators in running schools,optimize the evaluation and evaluation mechanism,enhance the growth momentum of educators in running schools,enhance the connotative construction of the subject,and lead The continuous development of educators is the exploration of the main path. 展开更多
关键词 Principals of primary and secondary schools EDUCATORS rank system
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Application of maximum rank distance codes in designing of STBC-OFDM system for next-generation wireless communications
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作者 Arslan Khalid Prapun Suksompong 《Digital Communications and Networks》 SCIE CSCD 2024年第4期1048-1056,共9页
Space-Time Block Coded(STBC)Orthogonal Frequency Division Multiplexing(OFDM)satisfies higher data-rate requirements while maintaining signal quality in a multipath fading channel.However,conventional STBCs,including O... Space-Time Block Coded(STBC)Orthogonal Frequency Division Multiplexing(OFDM)satisfies higher data-rate requirements while maintaining signal quality in a multipath fading channel.However,conventional STBCs,including Orthogonal STBCs(OSTBCs),Non-Orthogonal(NOSTBCs),and Quasi-Orthogonal STBCs(QOSTBCs),do not provide both maximal diversity order and unity code rate simultaneously for more than two transmit antennas.This paper targets this problem and applies Maximum Rank Distance(MRD)codes in designing STBCOFDM systems.By following the direct-matrix construction method,we can construct binary extended finite field MRD-STBCs for any number of transmitting antennas.Work uses MRD-STBCs built over Phase-Shift Keying(PSK)modulation to develop an MRD-based STBC-OFDM system.The MRD-based STBC-OFDM system sacrifices minor error performance compared to traditional OSTBC-OFDM but shows improved results against NOSTBC and QOSTBC-OFDM.It also provides 25%higher data-rates than OSTBC-OFDM in configurations that use more than two transmit antennas.The tradeoffs are minor increases in computational complexity and processing delays. 展开更多
关键词 Bit error rate(BER) Galois field Maximum rank distance(MRD)codes Orthogonal frequency division multiplexing (OFDM) Primitive polynomials Space-time block codes(STBC)
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OPG/RANKL/RANK信号通路在脓毒症相关急性肾损伤小鼠中的研究
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作者 李辉 陈蔚霖 牛新荣 《海南医学院学报》 CAS 北大核心 2024年第3期168-174,共7页
目的:探讨骨保护素(OPG)/核因子⁃κB受体活化因子配体(RANKL)/核因子⁃κB受体激活因子(RANK)信号通路因子在脓毒症相关急性肾损伤(SA⁃AKI)小鼠中的改变及可能的作用,为SA⁃AKI的机制研究探索新的思路。方法:通过盲肠结扎穿孔手术(CLP)建... 目的:探讨骨保护素(OPG)/核因子⁃κB受体活化因子配体(RANKL)/核因子⁃κB受体激活因子(RANK)信号通路因子在脓毒症相关急性肾损伤(SA⁃AKI)小鼠中的改变及可能的作用,为SA⁃AKI的机制研究探索新的思路。方法:通过盲肠结扎穿孔手术(CLP)建立SA⁃AKI模型组(CLP组),对照组为假手术组(Sham组),只行开腹不做盲肠结扎穿孔操作。术后24 h采血并处死留取小鼠肾脏组织,用试剂盒检测血清Scr、BUN水平,酶联免疫测定法(ELISA)检验血清中IL⁃6、TNF⁃α、IL⁃1β水平,苏木精⁃伊红染色(HE)观测肾组织病理学变化,聚合酶链反应(RT⁃qPCR)和蛋白质印迹实验(Western blotting)检验小鼠肾组织中OPG、RANKL、RANK的mRNA和蛋白水平。结果:与Sham组对比,CLP组Scr、BUN、IL⁃6、TNF⁃α、IL⁃1β水平显著升高,差异均具有统计学意义(P<0.05);与Sham组对比,CLP组肾小球充血水肿,部分缺血皱缩,球囊间隙扩大,部分肾小管中可见坏死的上皮细胞,管腔扩大,肾间质水肿,少量炎性细胞浸润;与Sham组相比较,CLP组肾组织中OPG和RANK的mRNA表达显著上调,而RANKL的mRNA表达明显下降,差异均具有统计学意义(P<0.05);与Sham组相比较,CLP组肾脏组织中OPG及RANK的蛋白表达均升高,而RANKL的蛋白表达明显下降,差异均具有统计学意义(P<0.05)。结论:在脓毒症的小鼠模型中OPG及RANK表达升高,RANKL表达下降,表明OPG/RANKL/RANK信号通路可能参与了SA⁃AKI的病理生理过程。 展开更多
关键词 脓毒症 急性肾损伤 OPG/rankL/rank信号通路
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膝关节置换术后患者血清RANKL、sVCAM-1、ESR表达水平及其与预后的相关性
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作者 张文 杨卫兵 《中国骨科临床与基础研究杂志》 2024年第3期183-188,共6页
目的 探讨膝关节置换术后患者血清核因子-κB受体活化因子配基(RANKL)、可溶性血管细胞黏附分子-1(sVCAM-1)、红细胞沉降率(ESR)的表达意义及其与预后的关系。方法 回顾性分析2020年1月至2022年9月安阳市人民医院收治的118例膝关节置换... 目的 探讨膝关节置换术后患者血清核因子-κB受体活化因子配基(RANKL)、可溶性血管细胞黏附分子-1(sVCAM-1)、红细胞沉降率(ESR)的表达意义及其与预后的关系。方法 回顾性分析2020年1月至2022年9月安阳市人民医院收治的118例膝关节置换手术患者的临床资料,根据术后6个月Lysholm评分将患者分为预后不良组(总分<70分,27例)和预后良好组(总分≥70分,91例)。比较两组术后1、3个月血清RANKL、sVCAM-1、ESR表达水平,分析其与Lysholm评分的相关性,评估上述血清学指标联合检测对患者术后预后不良的预测价值。结果 术后1、3个月预后不良组血清RANKL、sVCAM-1、ESR水平高于预后良好组(P <0.05),术后1、3个月血清RANKL、sVCAM-1、ESR水平与Lysholm评分呈负相关(P <0.05),联合预测患者术后预后不良的曲线下面积(AUC)优于各血清指标单独预测(P <0.05)。结论 血清RANKL、sVCAM-1、ESR水平升高可提示膝关节置换术患者预后不良风险的增加,联合检测可作为预测预后不良、判断病情转归的参考依据。 展开更多
关键词 关节成形术 置换 预后 rank配体 血管细胞黏附分子1 血沉
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Influential Node Ranking and Invulnerability of Air Traffic Cyber Physical System 被引量:6
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作者 WANG Xinglong HE Min 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2021年第2期288-297,共10页
To ensure flight safety,the complex network method is used to study the influence and invulnerability of air traffic cyber physical system(CPS)nodes.According to the rules of air traffic management,the logical couplin... To ensure flight safety,the complex network method is used to study the influence and invulnerability of air traffic cyber physical system(CPS)nodes.According to the rules of air traffic management,the logical coupling relationship between routes and sectors is analyzed,an air traffic CPS network model is constructed,and the indicators of node influence and invulnerability are established.The K-shell algorithm is improved to identify node influence,and the invulnerability is analyzed under random and selective attacks.Taking Airspace in Eastern China as an example,its influential nodes are sorted by degree,namely,K-shell,the improved K-shell(IKS)and betweenness centrality.The invulnerability of air traffic CPS under different attacks is analyzed.Results show that IKS can effectively identify the influential nodes in the air traffic CPS network,and IKS and betweenness centrality are the two key indicators that affect the invulnerability of air traffic CPS. 展开更多
关键词 complex network air traffic cyber physical system improved K-shell algorithm influential node ranking INVULNERABILITY
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Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning 被引量:4
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作者 Nadia Tabassum Allah Ditta +4 位作者 Tahir Alyas Sagheer Abbas Hani Alquhayz Natash Ali Mian Muhammad Adnan Khan 《Computers, Materials & Continua》 SCIE EI 2021年第6期3129-3141,共13页
Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the Internet.The design of reliable and high-quality cloud applications requires a strong ... Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the Internet.The design of reliable and high-quality cloud applications requires a strong Quality of Service QoS parameter metric.In a hyperconverged cloud ecosystem environment,building high-reliability cloud applications is a challenging job.The selection of cloud services is based on the QoS parameters that play essential roles in optimizing and improving cloud rankings.The emergence of cloud computing is significantly reshaping the digital ecosystem,and the numerous services offered by cloud service providers are playing a vital role in this transformation.Hyperconverged software-based unified utilities combine storage virtualization,compute virtualization,and network virtualization.The availability of the latter has also raised the demand for QoS.Due to the diversity of services,the respective quality parameters are also in abundance and need a carefully designed mechanism to compare and identify the critical,common,and impactful parameters.It is also necessary to reconsider the market needs in terms of service requirements and the QoS provided by various CSPs.This research provides a machine learning-based mechanism to monitor the QoS in a hyperconverged environment with three core service parameters:service quality,downtime of servers,and outage of cloud services. 展开更多
关键词 Cloud computing hyperconverged neural network QoS parameter cloud service providers rankING PREDICTION
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脱氢胆酸调控OPG/RANK和TRAF3抑制破骨细胞分化 被引量:2
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作者 朱禹潼 张晓楠 +1 位作者 关溪 尚东 《中国骨质疏松杂志》 CAS CSCD 北大核心 2024年第1期12-16,共5页
目的探讨脱氢胆酸(dehydrocholic acid,DHCA)对破骨细胞(osteoclasts,OCs)分化及功能的影响。方法采用粒细胞-巨噬细胞集落刺激因子和核因子κB受体活化因子配体(receptor activator of nuclear factor kappa B(NF-κB)-ligand,RANKL)... 目的探讨脱氢胆酸(dehydrocholic acid,DHCA)对破骨细胞(osteoclasts,OCs)分化及功能的影响。方法采用粒细胞-巨噬细胞集落刺激因子和核因子κB受体活化因子配体(receptor activator of nuclear factor kappa B(NF-κB)-ligand,RANKL)诱导成熟骨髓来源的巨噬细胞分化为OCs。通过抗酒石酸酸性磷酸酶(tartrate-resistant acid phosphatase,TRAP/ACP5)染色,确定DHCA抑制OCs形成的最佳浓度。qRT-PCR检测OCs分化和功能相关基因TRAP/ACP5、组织蛋白酶K(cathepsin K,CTSK)和基质金属蛋白酶9(matrix metalloproteinase 9,MMP9)的基因表达。Western blot检测OCs中TNF受体相关因子3(TNF receptor-associated factor 3,TRAF3)、NF-κB受体活化因子(receptor activator of NF-κB,RANK)和骨保护素(osteoprotegerin,OPG)的蛋白水平。结果DHCA浓度为200μmol/L是抑制OCs形成的最佳剂量(P<0.01)。DHCA抑制OCs分化和功能相关基因ACP5、CTSK和MMP9的表达(P<0.01)。DHCA通过下调RANK蛋白和增加TRAF3和OPG蛋白的表达来抑制OCs的分化(P<0.01)。结论DHCA通过调控OPG/RANK和TRAF3抑制OCs分化,这可能是一种有效的骨质疏松前体药物。 展开更多
关键词 脱氢胆酸 破骨细胞 OPG/rank TRAF3 骨质疏松
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Extremal ranks of the solution to a system of real quaternion matrix equations 被引量:1
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作者 俞绍文 王卿文 《Journal of Shanghai University(English Edition)》 CAS 2007年第3期229-232,共4页
In this paper, the maximal and minimal ranks of the solution to a system of matrix equations over H, the real quaternion algebra, were derived. A previous known result could be regarded as a special case of the new re... In this paper, the maximal and minimal ranks of the solution to a system of matrix equations over H, the real quaternion algebra, were derived. A previous known result could be regarded as a special case of the new result. 展开更多
关键词 system of matrix equations SOLUTION minimal rank maximal rank generalized inverse
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Weakness Ranking Method for Subsystems of Heavy-Duty Machine Tools Based on FMECA Information 被引量:3
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作者 Zhaojun Yang Jinyan Guo +3 位作者 Hailong Tian Chuanhai Chen Yongfu Zhu Jia Liu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2021年第1期156-167,共12页
Heavy-duty machine tools are composed of many subsystems with different functions,and their reliability is governed by the reliabilities of these subsystems.It is important to rank the weaknesses of subsystems and ide... Heavy-duty machine tools are composed of many subsystems with different functions,and their reliability is governed by the reliabilities of these subsystems.It is important to rank the weaknesses of subsystems and identify the weakest subsystem to optimize products and improve their reliabilities.However,traditional ranking methods based on failure mode effect and critical analysis(FMECA)does not consider the complex maintenance of products.Herein,a weakness ranking method for the subsystems of heavy-duty machine tools is proposed based on generalized FMECA information.In this method,eight reliability indexes,including maintainability and maintenance cost,are considered in the generalized FMECA information.Subsequently,the cognition best worst method is used to calculate the weight of each screened index,and the weaknesses of the subsystems are ranked using a technique for order preference by similarity to an ideal solution.Finally,based on the failure data collected from certain domestic heavy-duty horizontal lathes,the weakness ranking result of the subsystems is obtained to verify the effectiveness of the proposed method.An improved weakness ranking method that can comprehensively analyze and identify weak subsystems is proposed herein for designing and improving the reliability of complex electromechanical products. 展开更多
关键词 Complex electromechanical products Weakness ranking method Failure mode effect and critical analysis(FMECA) Cognition best worst method(CBWM) Technique for order preference by similarity to an ideal solution(TOPSIS)
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System Reliability Analysis of Offshore Strctures and Component Safety Rank Assessment 被引量:1
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作者 YANG Zhiyong and XIAO Xi Lecturer, School of Naval Architecture and Ocean Engineering, Shanghai Jiaotong University (SJTU), Shanghai 200030, P. R. China. Professor, School of Naval Architecture and Ocean Engineering, SJTU, Shanghai 200030, P. R. China. 《China Ocean Engineering》 SCIE EI 1998年第2期173-181,共9页
Offshore structures will encounter serious environmental load, so it is important to study the structural system reliability and to evaluate the structural component safety rank. In this paper, the bracnch-and-bound m... Offshore structures will encounter serious environmental load, so it is important to study the structural system reliability and to evaluate the structural component safety rank. In this paper, the bracnch-and-bound method is adopted to search the main failure path, and the Ditlevsen bound method is used to calculate the system failure probability. The structure is then assessed by the fuzzy comprehensive assessment method, which evaluates the structural component safety rank. The ultimate equation of the tubular cross- section is analyzed on the basis of ultimate stregnth analysis. The influence of effect coefficients on the structural system failure probability is investigated, and basic results are obtained. A general program for spatial frame structures by means of the above method is developed, and verified by the numerical examples. 展开更多
关键词 structural system reliability branch-and-bound method fuzzy comprehensive assessment safety rank offshore structure PLATFORM
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基于RANKL/RANK/OPG信号轴探讨骨痹通消颗粒对激素性股骨头坏死模型小鼠的治疗作用
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作者 方祥 周正新 +3 位作者 朱磊 芮仞 许茂玉 朱彩玉 《中国现代医学杂志》 CAS 2024年第7期27-33,共7页
目的观察骨痹通消颗粒对激素性股骨头坏死模型小鼠的治疗作用,并从核因子-κB受体活化因子配体/核因子-κB受体活化因子/骨保护素(RANKL/RANK/OPG)信号轴探讨其作用机制。方法采取腹腔注射脂多糖和臀肌注射醋酸泼尼松龙复制激素性股骨... 目的观察骨痹通消颗粒对激素性股骨头坏死模型小鼠的治疗作用,并从核因子-κB受体活化因子配体/核因子-κB受体活化因子/骨保护素(RANKL/RANK/OPG)信号轴探讨其作用机制。方法采取腹腔注射脂多糖和臀肌注射醋酸泼尼松龙复制激素性股骨头缺血坏死(SONFH)动物模型,经核磁共振鉴定后,将模型复制成功的60只小鼠分成模型(MC)组、骨痹通消颗粒(GBTX)组及通络生骨胶囊(PC)组,每组20只,另设12只正常小鼠作为空白对照(NC)组。分别予以对应组灌胃相应药物12周后麻醉状态下取材,观察各组小鼠治疗前后的一般行为;酶联免疫吸附试验(ELISA)检测各组小鼠的骨碱性磷酸酶(BALP)和I型氨基端延长肽(PINP)含量;Western blotting和实时荧光定量聚合酶链反应(qRT-qPCR)检测各组RANK、RANKL、OPG、磷脂酰肌醇特异性磷脂酶Cγ2(PLCγ2)、组织蛋白酶K(CTSK)、抗酒石酸酸性磷酸酶(TRAP)的蛋白和基因表达。结果核磁共振显示,模型复制成功后的小鼠左侧髋部呈高信号状态。与NC组比较,MC组BALP、PINP水平,以及OPG蛋白和基因相对表达量均降低(P<0.05),RANK、RANKL、PLCγ2、CTSK、TRAP蛋白和基因相对表达量均升高(P<0.05);与MC组比较,GBTX组和PC组BALP、PINP水平,以及OPG蛋白和基因相对表达量均升高(P<0.05),RANK、RANKL、PLCγ2、CTSK、TRAP蛋白和基因相对表达量均下降(P<0.05);与GBTX组比较,PC组OPG、RANK、RANKL、CTSK、TRAP蛋白和基因相对表达量,以及PLCγ2蛋白相对表达量差异均无统计学意义(P>0.05),而PC组PLCγ2基因相对表达量较GBTX组下降(P<0.05)。结论骨痹通消颗粒可能通过上调OPG表达,抑制RANK、RANKL、PLCγ2、CTSK和TRAP表达,从而改善股骨头坏死情况。 展开更多
关键词 激素性股骨头坏死 骨痹通消颗粒 rankL/rank/OPG信号轴
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Fusion of Feature Ranking Methods for an Effective Intrusion Detection System
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作者 Seshu Bhavani Mallampati Seetha Hari 《Computers, Materials & Continua》 SCIE EI 2023年第8期1721-1744,共24页
Expanding internet-connected services has increased cyberattacks,many of which have grave and disastrous repercussions.An Intrusion Detection System(IDS)plays an essential role in network security since it helps to pr... Expanding internet-connected services has increased cyberattacks,many of which have grave and disastrous repercussions.An Intrusion Detection System(IDS)plays an essential role in network security since it helps to protect the network from vulnerabilities and attacks.Although extensive research was reported in IDS,detecting novel intrusions with optimal features and reducing false alarm rates are still challenging.Therefore,we developed a novel fusion-based feature importance method to reduce the high dimensional feature space,which helps to identify attacks accurately with less false alarm rate.Initially,to improve training data quality,various preprocessing techniques are utilized.The Adaptive Synthetic oversampling technique generates synthetic samples for minority classes.In the proposed fusion-based feature importance,we use different approaches from the filter,wrapper,and embedded methods like mutual information,random forest importance,permutation importance,Shapley Additive exPlanations(SHAP)-based feature importance,and statistical feature importance methods like the difference of mean and median and standard deviation to rank each feature according to its rank.Then by simple plurality voting,the most optimal features are retrieved.Then the optimal features are fed to various models like Extra Tree(ET),Logistic Regression(LR),Support vector Machine(SVM),Decision Tree(DT),and Extreme Gradient Boosting Machine(XGBM).Then the hyperparameters of classification models are tuned with Halving Random Search cross-validation to enhance the performance.The experiments were carried out on the original imbalanced data and balanced data.The outcomes demonstrate that the balanced data scenario knocked out the imbalanced data.Finally,the experimental analysis proved that our proposed fusionbased feature importance performed well with XGBM giving an accuracy of 99.86%,99.68%,and 92.4%,with 9,7 and 8 features by training time of 1.5,4.5 and 5.5 s on Network Security Laboratory-Knowledge Discovery in Databases(NSL-KDD),Canadian Institute for Cybersecurity(CIC-IDS 2017),and UNSW-NB15,datasets respectively.In addition,the suggested technique has been examined and contrasted with the state of art methods on three datasets. 展开更多
关键词 Cyber security feature ranking IMBALANCE PREPROCESSING IDS SHAP
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An Evaluation of Different Risk Ranking Systems
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作者 Huimei Sha, Ron J. Thiessen Gopal Achari 《Journal of Environmental Protection》 2013年第8期78-86,共9页
A number of risk ranking systems for contaminated sites have been developed by different jurisdictions. While the intent of each of these systems is similar, it is not clear whether they provide results that are compa... A number of risk ranking systems for contaminated sites have been developed by different jurisdictions. While the intent of each of these systems is similar, it is not clear whether they provide results that are comparable. In this paper, 20 contaminated sites are used to assess the United States’ Preliminary Assessment (PA) system, Sweden’s Methods for Inventories of Contaminated Sites (MICS) and New Zealand’s Risk Screening System (RSS) methods. The results were compared with each other and with Canada’s National Classification System for Contaminated Sites (NCSCS) as well as preliminary quantitative risk assessment (PQRA) results. The objectives were to determine if the systems yield similar recommendations regarding further actions, and to assess if there are acceptable correlations between different methods. The study concludes that PA, MICS and NCSCS methods can achieve similar conclusions, although there is a certain degree of inconsistency that is present, RSS can distinguish the very high and very low risk sites and, acceptable correlations exists among the methods except for PA and PQRA. 展开更多
关键词 RISK rankING system Contaminated SITES RISK Assessment PA MICS RSS NCSCS and PQRA
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miR-34a-5p、OPG、RANK、RANKL在肌少-骨质疏松症患者中的作用机制研究
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作者 杨靖元 杨物鹏 +1 位作者 刘昊 王永江 《中文科技期刊数据库(引文版)医药卫生》 2024年第10期0096-0102,共7页
探究miR-34a-5p和OPG/RANK/RANKL在肌少症及骨质疏松中的作用与机制。方法 选取80名患者分为2组,实验组44人肌少-骨质疏松症患者,对照组36人为仅患有骨质疏松症患者。检测血清OPG、RANK、RANKL表达及miR-34a基因含量,采用Excel 2019和SP... 探究miR-34a-5p和OPG/RANK/RANKL在肌少症及骨质疏松中的作用与机制。方法 选取80名患者分为2组,实验组44人肌少-骨质疏松症患者,对照组36人为仅患有骨质疏松症患者。检测血清OPG、RANK、RANKL表达及miR-34a基因含量,采用Excel 2019和SPSS 25.0软件进行数据整理和统计学分析。结果 (1)80名患者中,男性30名,女性50名,性别x2=1.458,年龄年龄x2=-1.225,骨质疏松分为骨质疏松和严重骨质疏松症,骨质疏松症患者p<0.05。(2)实验组和对照组中miR-34a均表达上调,但差异无统计学意义。(3)实验组中miR-34a与OPG、RANK、RANKL表达均有差异,与OPG成正相关,与RANKL成负相关。(4)对照组中miR-34a与OPG、RANK、RANKL表达均有差异,与OPG成正相关,与RANKL成负相关。(5)OPG在对照组中表达上调,RANKL在实验组中表达增加,RANK在两组中表达有差异。结论 (1)miR-34a可能不占主导地位,不能影响肌少症发生,但可通过OPG/RANK/RANKL信号通路影响骨质疏松症。(2)OPG/RANK/RANKL信号通路参与调节骨质疏松症及肌少症罹患过程。 展开更多
关键词 骨质疏松症 肌少症 信号通路 MICRORNA OPG rank rankL
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Nonhomogeneous Risk Rank Analysis Method for Security Network System
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作者 Pubudu Kalpani Hitigala Kaluarachchilage Chris P. Tsokos Sasith M. Rajasooriya 《International Journal of Communications, Network and System Sciences》 2019年第1期1-10,共10页
Security measures for a computer network system can be enhanced with better understanding the vulnerabilities and their behavior over the time. It is observed that the effects of vulnerabilities vary with the time ove... Security measures for a computer network system can be enhanced with better understanding the vulnerabilities and their behavior over the time. It is observed that the effects of vulnerabilities vary with the time over their life cycle. In the present study, we have presented a new methodology to assess the magnitude of the risk of a vulnerability as a “Risk Rank”. To derive this new methodology well known Markovian approach with a transition probability matrix is used including relevant risk factors for discovered and recorded vulnerabilities. However, in addition to observing the risk factor for each vulnerability individually we have introduced the concept of ranking vulnerabilities at a particular time taking a similar approach to Google Page Rank Algorithm. New methodology is exemplified using a simple model of computer network with three recorded vulnerabilities with their CVSS scores. 展开更多
关键词 MARKOV Chain VULNERABILITY Non HOMOGENEOUS Risk Analysis Network SECURITY Google PAGE rank
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Er,Cr:YSGG激光治疗对高糖环境下微螺钉周围炎症及对RANK/RANKL信号通路的影响
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作者 刘阳 牛家慧 《口腔颌面修复学杂志》 2024年第3期170-174,共5页
目的:探讨铒铬铱钪镓石榴石(Er,Cr:YSGG)激光治疗对高糖环境下微螺钉周围炎症治疗的疗效,并分析与RANK/RANKL信号通路的关系。方法:20只正常健康雄性新西兰兔随机分为A组(微螺钉周健康组)、B组(微螺钉周围炎症组)、C组(微螺钉周围炎症... 目的:探讨铒铬铱钪镓石榴石(Er,Cr:YSGG)激光治疗对高糖环境下微螺钉周围炎症治疗的疗效,并分析与RANK/RANKL信号通路的关系。方法:20只正常健康雄性新西兰兔随机分为A组(微螺钉周健康组)、B组(微螺钉周围炎症组)、C组(微螺钉周围炎症激光治疗组),皮下注射2%四氧嘧啶建立糖尿病模型,下颌双侧无牙区植入微螺钉种植体,3个月后,A组进行菌斑控制,B组、C组用丝线拴结于微螺钉种植体颈部基台处引入炎症,C组予以Er,Cr:YSGG激光治疗。记录菌斑指数、探诊深度、牙龈指数和龈沟液量;ELISA检测龈沟液炎性细胞白细胞介素1β(IL-1β)、肿瘤坏死因子α(TNF-α)和白细胞介素6(IL-6)水平;CBCT检查微螺钉种植体周围炎周围骨吸收状态;Western blot检测牙龈组织中核因子κB(NF-κB)/NF-κB受体性活化因子(RANK)/NF-κB受体活化因子配体(RANKL)通路相关蛋白表达。结果:CBCT检查显示与A组比较,B组微螺钉种植体周围牙槽骨有明显的炎性吸收,微螺钉种植体-骨界面愈合差,骨附着不足;与B组比较,C组一侧牙槽骨有少量新生纤维成骨。与A组比较,B组PI、PD、GI水平较高,龈沟液量较多,龈沟液中IL-1β、TNF-α和IL-6水平较高,牙龈中NF-κBp65、RANK、RANKL蛋白表达水平较高(P<0.05);与B组比较,C组PI、PD、GI水平较低,龈沟液量较少,龈沟液中IL-1β、TNF-α和IL-6水平较低,牙龈中NF-κBp65、RANK、RANKL蛋白表达水平较低(P<0.05)。结论:Er,Cr:YSGG激光治疗糖尿病兔颌骨微螺钉种植体周围炎的疗效显著,且在NF-κB/RANK/RANKL通路表达调控上可能发挥一定作用。 展开更多
关键词 铒铬铱钪镓石榴石激光 糖尿病 微螺钉周围炎 核因子κB(NF-κB)/NF-κB受体性活化因子(rank)/NF-κB受体活化因子配体(rankL)通路
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Low rank optimization for efficient deep learning:making a balance between compact architecture and fast training
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作者 OU Xinwei CHEN Zhangxin +1 位作者 ZHU Ce LIU Yipeng 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第3期509-531,F0002,共24页
Deep neural networks(DNNs)have achieved great success in many data processing applications.However,high computational complexity and storage cost make deep learning difficult to be used on resource-constrained devices... Deep neural networks(DNNs)have achieved great success in many data processing applications.However,high computational complexity and storage cost make deep learning difficult to be used on resource-constrained devices,and it is not environmental-friendly with much power cost.In this paper,we focus on low-rank optimization for efficient deep learning techniques.In the space domain,DNNs are compressed by low rank approximation of the network parameters,which directly reduces the storage requirement with a smaller number of network parameters.In the time domain,the network parameters can be trained in a few subspaces,which enables efficient training for fast convergence.The model compression in the spatial domain is summarized into three categories as pre-train,pre-set,and compression-aware methods,respectively.With a series of integrable techniques discussed,such as sparse pruning,quantization,and entropy coding,we can ensemble them in an integration framework with lower computational complexity and storage.In addition to summary of recent technical advances,we have two findings for motivating future works.One is that the effective rank,derived from the Shannon entropy of the normalized singular values,outperforms other conventional sparse measures such as the?_1 norm for network compression.The other is a spatial and temporal balance for tensorized neural networks.For accelerating the training of tensorized neural networks,it is crucial to leverage redundancy for both model compression and subspace training. 展开更多
关键词 model compression subspace training effective rank low rank tensor optimization efficient deep learning
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Requirements ranking based on crowd-sourcing high-end product USs
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作者 MA Yufeng DOU Yajie +2 位作者 XU Xiangqian JIA Qingyang TAN Yuejin 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2024年第1期94-104,共11页
Based on the characteristics of high-end products,crowd-sourcing user stories can be seen as an effective means of gathering requirements,involving a large user base and generating a substantial amount of unstructured... Based on the characteristics of high-end products,crowd-sourcing user stories can be seen as an effective means of gathering requirements,involving a large user base and generating a substantial amount of unstructured feedback.The key challenge lies in transforming abstract user needs into specific ones,requiring integration and analysis.Therefore,we propose a topic mining-based approach to categorize,summarize,and rank product requirements from user stories.Specifically,after determining the number of story categories based on py LDAvis,we initially classify“I want to”phrases within user stories.Subsequently,classic topic models are applied to each category to generate their names,defining each post-classification user story category as a requirement.Furthermore,a weighted ranking function is devised to calculate the importance of each requirement.Finally,we validate the effectiveness and feasibility of the proposed method using 2966 crowd-sourced user stories related to smart home systems. 展开更多
关键词 high-end product complex system crowd-sourcing user stories topic mining requirements ranking
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RPL-Based IoT Networks under Decreased Rank Attack:Performance Analysis in Static and Mobile Environments
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作者 Amal Hkiri Mouna Karmani +3 位作者 Omar Ben Bahri Ahmed Mohammed Murayr Fawaz Hassan Alasmari Mohsen Machhout 《Computers, Materials & Continua》 SCIE EI 2024年第1期227-247,共21页
The RPL(IPv6 Routing Protocol for Low-Power and Lossy Networks)protocol is essential for efficient communi-cation within the Internet of Things(IoT)ecosystem.Despite its significance,RPL’s susceptibility to attacks r... The RPL(IPv6 Routing Protocol for Low-Power and Lossy Networks)protocol is essential for efficient communi-cation within the Internet of Things(IoT)ecosystem.Despite its significance,RPL’s susceptibility to attacks remains a concern.This paper presents a comprehensive simulation-based analysis of the RPL protocol’s vulnerability to the decreased rank attack in both static andmobilenetwork environments.We employ the Random Direction Mobility Model(RDM)for mobile scenarios within the Cooja simulator.Our systematic evaluation focuses on critical performance metrics,including Packet Delivery Ratio(PDR),Average End to End Delay(AE2ED),throughput,Expected Transmission Count(ETX),and Average Power Consumption(APC).Our findings illuminate the disruptive impact of this attack on the routing hierarchy,resulting in decreased PDR and throughput,increased AE2ED,ETX,and APC.These results underscore the urgent need for robust security measures to protect RPL-based IoT networks.Furthermore,our study emphasizes the exacerbated impact of the attack in mobile scenarios,highlighting the evolving security requirements of IoT networks. 展开更多
关键词 RPL decreased rank attacks MOBILITY random direction model
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Ranking academic institutions based on the productivity,impact,and quality of institutional scholars
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作者 Amir Faghri Theodore L.Bergman 《Journal of Data and Information Science》 CSCD 2024年第3期116-154,共39页
Purpose:The quantitative rankings of over 55,000 institutions and their institutional programs are based on the individual rankings of approximately 30 million scholars determined by their productivity,impact,and qual... Purpose:The quantitative rankings of over 55,000 institutions and their institutional programs are based on the individual rankings of approximately 30 million scholars determined by their productivity,impact,and quality.Design/methodology/approach:The institutional ranking process developed here considers all institutions in all countries and regions,thereby including those that are established,as well as those that are emerging in scholarly prowess.Rankings of individual scholars worldwide are first generated using the recently introduced,fully indexed ScholarGPS database.The rankings of individual scholars are extended here to determine the lifetime and last-five-year Top 20 rankings of academic institutions over all Fields of scholarly endeavor,in 14 individual Fields,in 177 Disciplines,and in approximately 350,000 unique Specialties.Rankings associated with five specific Fields(Medicine,Engineering&Computer Science,Life Sciences,Physical Sciences&Mathematics,and Social Sciences),and in two Disciplines(Chemistry,and Electrical&Computer Engineering)are presented as examples,and changes in the rankings over time are discussed.Findings:For the Fields considered here,the Top 20 institutional rankings in Medicine have undergone the least change(lifetime versus last five years),while the rankings in Engineering&Computer Science have exhibited significant change.The evolution of institutional rankings over time is largely attributed to the recent emergence of Chinese academic institutions,although this emergence is shown to be highly Field-and Discipline-dependent.Practical implementations:Existing rankings of academic institutions have:(i)often been restricted to pre-selected institutions,clouding the potential discovery of scholarly activity in emerging institutions and countries;(ii)considered only broad areas of research,limiting the ability of university leadership to act on the assessments in a concrete manner,or in contrast;(iii)have considered only a narrow area of research for comparison,diminishing the broader applicability and impact of the assessment.In general,existing institutional rankings depend on which institutions are included in the ranking process,which areas of research are considered,the breadth(or granularity)of the research areas of interest,and the methodologies used to define and quantify research performance.In contrast,the methods presented here can provide important data over a broad range of granularity to allow responsible individuals to gauge the performance of any institution from the Overall(all Fields)level,to the level of the Specialty.The methods may also assist identification of the root causes of shifts in institution rankings,and how these shifts vary across hundreds of thousands of Fields,Disciplines,and Specialties of scholarly endeavor.Originality/value:This study provides the first ranking of all academic institutions worldwide over Fields,Disciplines,and Specialties based on a unique methodology that quantifies the productivity,impact,and quality of individual scholars. 展开更多
关键词 Academic institution ranking Top institutional scholars ScholarGPS
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