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| 1 | Chinese guidelines for diagnosis and treatment of breast cancer2018(English version)显示文摘Breast cancer is the most common malignancy in women and is a major threat to women's health. Currently, with comprehensive treatment modalities, the outcomes of breast cancer are among the best of solid tumors. A set of Chinese guidelines and recommendations are developed to standardize the clinical practice, to ensure the quality and safety of medical service, and to ultimately improve the survival of breast cancer patients. | National Health Commission of the People's Republic of China | 2019 | Chinese Journal of Cancer Research2019，31，2： | 50 |
| 2 | Assessment and sequencing of air target threat based on intuitionistic fuzzy entropy and dynamic VIKOR显示文摘In view of the fact that traditional air target threat assessment methods are difficult to reflect the combat characteristics of uncertain, dynamic and hybrid formation, an algorithm is proposed to solve the multi-target threat assessment problems. The target attribute weight is calculated by the intuitionistic fuzzy entropy(IFE) algorithm and the time series weight is gained by the Poisson distribution method based on multi-times data. Finally,assessment and sequencing of the air multi-target threat model based on IFE and dynamic Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) is established with an example which indicates that the method is reasonable and effective. | ZHANG Kun KONG Weiren LIU Peipei SHI Jiao LEI Yu ZOU Jie | 2018 | Journal of Systems Engineering and Electronics2018，29，2： | 24 |
| 3 | A Survey: Typical Security Issues of Software-Defined Networking显示文摘Software-Defined Networking (SDN) has been a hot topic for future network development, which implements the different layers of control plane and data plane respectively. Despite providing high openness and programmability, the “three-layer two-interface” architecture of SDN changes the traditional network and increases the network attack nodes, which results in new security issues. In this paper, we firstly introduced the background, architecture and working process of SDN. Secondly, we summarized and analyzed the typical security issues from north to south: application layer, northbound interface, control layer, southbound interface and data layer. Another contribution is to review and analyze the existing solutions and latest research progress of each layer, mainly including: authorized authentication module, application isolation, DoS/DDoS defense, multi-controller deployment and flow rule consistency detection. Finally, a conclusion about the future works of SDN security and an idealized global security architecture is proposed. | Yifan Liu Bo Zhao Pengyuan Zhao Peiru Fan Hui Liu | 2019 | China Communications2019，16，7： | 11 |
| 4 | Breeding by design for future rice:Genes and genome technologies显示文摘1.Introduction Rice is a staple food for 3.2 billion people.The food security threat that shook many Asian countries in 2008 still looms,because farmers are facing the challenge of producing more rice with fewer resources of water,land,and inputs. | Jianlong Xu Yongzhong Xing Yunbi Xu Jianmin Wan | 2021 | The Crop Journal2021，9，3： | 10 |
| 5 | Dynamic assessment method of air target threat based on improved GIFSS显示文摘As the air combat environment becomes more complicated and changeable, accurate threat assessment of air target has a significant impact on air defense operations. This paper proposes an improved generalized intuitionistic fuzzy soft set (GIFSS) method for dynamic assessment of air target threat. Firstly, the threat assessment index is reasonably determined by analyzing the typical characteristics of air targets. Secondly, after the GIFSS at different time is obtained, the index weight is determined by the intuitionistic fuzzy set entropy and the relative entropy theory. Then, the inverse Poisson distribution method is used to determine the weight of time series, and then the time-weighted GIFSS is obtained. Finally, threat assessment of five air targets is carried out by using the improved GIFSS (I-GIFSS) and comparison methods. The validity and superiority of the proposed method are verified by calculation and comparison. | FENG Jinfu ZHANG Qiang HU Junhua LIU An | 2019 | Journal of Systems Engineering and Electronics2019，30，3： | 9 |
| 6 | Application of Improved PSO-LSSVM on Network Threat Detection显示文摘To solve the problem of the design of classifier in network threat detection, we conduct a simulation experiment for the parameters' optimal on least squares support vector machine (LSSVM) using the classic PSO algorithm, and the experiment shows that uneven distribution of the initial particle swarm exerts a great impact on the results of LSSVM algorithm's classification. This article proposes an improved PSO-LSSVM algorithm based on Divide-and-Conquer (DCPSO- LSSVM) to split the optimal domain where the parameters of LSSVM are in. It can achieve the purpose of distributing the initial particles uniformly. And using the idea of Divide-and-Conquer, it can split a big problem into multiple sub-problems, thus, completing problems' modularization Meanwhile, this paper introduces variation factors to make the particles escape from the local optimum. The results of experiment prove that DCPSO-LSSVM has better effect on classification of network threat detection compared with SVM and classic PSOLSSVM. | QI Fumin XIE Xiaoyao JING Fengxuan | 2013 | Wuhan University Journal of Natural Sciences2013，18，5： | 4 |
| 7 | Short-Term Dynamic Radar Quantitative Precipitation Estimation Based on Wavelet Transform and Support Vector Machine显示文摘Currently,Doppler weather radar in China is generally used for quantitative precipitation estimation(QPE)based on the Z–R relationship.However,the estimation error for mixed precipitation is very large.In order to improve the accuracy of radar QPE,we propose a dynamic radar QPE algorithm with a 6-min interval that uses the reflectivity data of Doppler radar Z9002 in the Shanghai Qingpu District and the precipitation data at automatic weather stations(AWSs)in East China.Considering the time dependence and abrupt changes of precipitation,the data during the previous 30-min period were selected as the training data.To reduce the complexity of radar QPE,we transformed the weather data into the wavelet domain by means of the stationary wavelet transform(SWT)in order to extract high and low-frequency reflectivity and precipitation information.Using the wavelet coefficients,we constructed a support vector machine(SVM)at all scales to estimate the wavelet coefficient of precipitation.Ultimately,via inverse wavelet transformation,we obtained the estimated rainfall.By comparing the results of the proposed method(SWTSVM)with those of Z=300×R1.4,linear regression(LR),and SVM,we determined that the root mean square error(RMSE)of the SWT-SVM method was 0.54 mm per 6 min and the average Threat Score(TS)could exceed 40%with the exception of the downpour category,thus remaining at a high level.Generally speaking,the SWT-SVM method can effectively improve the accuracy of radar QPE and provide an auxiliary reference for actual meteorological operational forecasting. | Changjiang ZHANG Huiyuan WANG Jing ZENG Leiming MA Li GUAN | 2020 | Journal of Meteorological Research2020，34，2： | 4 |
| 8 | Computer animations of color markings revealthe function of visual threat signals inNeolamprologus pulcher显示文摘Visual signals, including changes in coloration and color patterns, are frequently used by animalsto convey information. During contests, body coloration and its changes can be used to assess anopponent's state or motivation. Communication of aggressive propensity is particularly importantin group-living animals with a stable dominance hierarchy, as the outcome of aggressive inter-actions determines the social rank of group members. Neolamprologus pulcher is a cooperativelybreeding cichlid showing frequent within-group aggression. Both sexes exhibit two vertical blackstripes on the operculum that vary naturally in shape and darkness. During frontal threat displaysthese patterns are actively exposed to the opponent, suggesting a signaling function. To investi-gate the role of operculum stripes during contests we manipulated their darkness in computeranimated pictures of the fish. We recorded the responses in behavior and stripe darkness of testsubjects to which these animated pictures were presented. Individuals with initially darker stripeswere more aggressive against the animations and showed more operculum threat displays.Operculum stripes of test subjects became darker after exposure to an animation exhibiting a paleoperculum than after exposure to a dark operculum animation, highlighting the role of the dark-ness of this color pattern in opponent assessment. We conclude that (i) the black stripes on theoperculum of N. pulcherare a reliable signal of aggression and dominance, (ii) these markings playan important role in opponent assessment, and (iii) 2D computer animations are well suited to elicitbiologically meaningful short-term aggressive responses in this widely used model system ofsocial evolution. | Valentina BALZARINI Michael TABORSKY Fabienne VILLA Joachim G. FROMMEN | 2017 | Current Zoology2017，63，1： | 3 |
| 9 | Impact of ionospheric irregularity on SBAS integrity:spatial threat modeling and improvement显示文摘The ionosphere, as the largest and least predictable error source, its behavior cannot be observed at all places simultaneously. The confidence bound, called the grid ionospheric vertical error(GIVE), can only be determined with the aid of a threat model which is used to restrict the expected ionospheric behavior. However, the spatial threat model at present widespread used, which is based on fit radius and relative centroid metric(RCM), is too conservative or the resulting GIVEs will be too large and will reduce the availability of satellite-based augmentation system(SBAS). In this paper, layered two-dimensional parameters, the vertical direction double RCMs, are introduced based on the spatial variability of the ionosphere. Comparing with the traditional threat model, the experimental results show that the user ionospheric vertical error(UIVE) average reduction rate reaches 16%. And the 95% protection level of conterminous United States(CONUS) is 28%, even under disturbed days, which reaches about 5% reduction rates.The results show that the system service performance has been improved better. | BAO Junjie LI Rui LIU Pan HUANG Zhigang | 2018 | Journal of Systems Engineering and Electronics2018，29，5： | 2 |
| 10 | Urban Planning and Farmland Protection:A Planning Study of Village Construction Land in China | HUANG Minghua,PhD,Professor,Chief Planner,Urban Planning & Design Institute,Xi’an University of Architecture and Technology,Xi’an,P.R.China.YUE Xiaoqin,College of Construction,Xi’an University of Architecture and Technology,Xi’an,P.R.China.YUAN Ziyi,College of Construction,Xi’an University of Architecture and Technology,Xi’an,P.R.China.CHEN Mo,College of Construction,Xi’an University of Architecture and Technology,Xi’an,P.R.China. | 2009 | China City Planning Review2009，18，3： | 2 |
| 11 | 松辽盆地大陆科学钻探发现深部地下连续高含量氢气:清洁能源勘探新启示显示文摘Supplying an ever-growing world population with industrial raw materials,energy and clean water,and at the same time addressing the threats posed by global change,these are the two fundamental challenges facing mankind today. | 韩双彪 唐致远 王成善 Brian Horsfield 王天天 Nicolaj Mahlstedt | 2022 | Science Bulletin2022，67，10： | 2 |
| 12 | TRUST MODEL BASED ON THE MULTINOMIAL SUBJECTIVE LOGIC AND RISK MECHANISM FOR P2P NETWORK OF FILE SHARING显示文摘In order to deal with the problems in P2P systems of file sharing such as unreliability of the service,security risk and attacks caused by malicious peers,a novel Trust Model based on Multinomial subjective logic and Risk mechanism(MR-TM) is proposed.According to the multinomial subjective logic theory,the model introduces the risk mechanism.It assesses and quantifies the peers' risk,through computing the resource value,vulnerability,threat level,and finally gets the trust value by the risk value and the reputation value.The introduction of the risk value can reflect the recent behaviors of the peers better and make the system more sensitive to malicious acts.Finally,the effectiveness and feasibility of the model is illustrated by the simulation experiment designed with Peersim. | Tian Junfeng Li Chao He Xuemin | 2011 | Journal of Electronics(China)2011，28，1： | 2 |
| 13 | Animal Disease Control: Challenges and Perspectives显示文摘Due to more and more frequent long-distance travel and international transactions, outbreaks and spread of animal diseases are significantly increasing around the world, causing enormous losses in animal husbandry and threat to human health, public hygiene, and food safety;sometimes even affecting ecological security. | Huanchun Chen | 2020 | Engineering2020，6，1： | 2 |
| 14 | Network Security Situation Awareness Framework based on Threat Intelligence显示文摘Network security situation awareness is an important foundation for network security management,which presents the target system security status by analyzing existing or potential cyber threats in the target system.In network offense and defense,the network security state of the target system will be affected by both offensive and defensive strategies.According to this feature,this paper proposes a network security situation awareness method using stochastic game in cloud computing environment,uses the utility of both sides of the game to quantify the network security situation value.This method analyzes the nodes based on the network security state of the target virtual machine and uses the virtual machine introspection mechanism to obtain the impact of network attacks on the target virtual machine,then dynamically evaluates the network security situation of the cloud environment based on the game process of both attack and defense.In attack prediction,cyber threat intelligence is used as an important basis for potential threat analysis.Cyber threat intelligence that is applicable to the current security state is screened through the system hierarchy fuzzy optimization method,and the potential threat of the target system is analyzed using the cyber threat intelligence obtained through screening.If there is no applicable cyber threat intelligence,using the Nash equilibrium to make predictions for the attack behavior.The experimental results show that the network security situation awareness method proposed in this paper can accurately reflect the changes in the network security situation and make predictions on the attack behavior. | Hongbin Zhang Yuzi Yi Junshe Wang Ning Cao Qiang Duan | 2018 | Computers, Materials & Continua2018，，9： | 2 |
| 15 | Threat evaluation method of warships formation air defense based on AR(p)-DITOPSIS显示文摘For the target threat evaluation of warships formation air defense, the sample data are frequently insufficient and even incomplete. The existing evaluation methods rely too much on expertise and are difficult to carry out for the dynamic evaluation on time series. In order to solve these problems, a threat evaluation method based on the AR(p)(auto regressive(AR))-dynamic improved technique for order preference by similarity to ideal solution(DITOPSIS) method is proposed. The AR(p) model is adopted to predict the missing data on the time series. Then, the entropy weight method is applied to solve each index weight at the objective point. Kullback-Leibler divergence(KLD) is used to improve the traditional TOPSIS, and to carry out the target threat evaluation. The Poisson distribution is used to assign the weight value.Simulation results show that the improved AR(p)-DITOPSIS threat evaluation method can synthetically take into account the target threat degree in time series and is more suitable for the threat evaluation under the condition of missing the target data than the traditional TOPSIS method. | SUN Haiwen XIE Xiaofang | 2019 | Journal of Systems Engineering and Electronics2019，30，2： | 2 |
| 16 | Threat-Based Declassification and Endorsement for Mobile Computing显示文摘Declassification and endorsement can efficiently improve the usability of mobile applications.However, both declassify and endorse operations in practice are often ad-hoc and nondeterministic, thus, being insecure. From a new perspective of threat assessments,we propose the Threat-based typed security π-calculus(πTBTS) to model declassification and endorsement in mobile computing. Intuitively, when relaxing confidentiality policies and/or integrity policies, we respectively assess threats brought by performing these two relaxes. If these threats are acceptable, the declassification and/or endorsement operations are permitted;Otherwise, they are denied. The proposed assessments have explicit security conditions, results and less open parameters,so our approach solves the problem of the ad-hoc and nondeterministic semantics and builds a bridge between threat assessments and declassification/endorsement. | YIN Lihua GUO Yunchuan ZHANG Huibing HUANG Wenting FANG Binxing | 2019 | Chinese Journal of Electronics2019，28，5： | 2 |
| 17 | Vulnerability assessment to projectiles: Approach definition and application to helicopter platforms显示文摘Survivability is defined as the capability of a platform to avoid or withstand a man-made hostile environment. Military aircraft in particular, but also other kinds of platforms subjected to external, impacting threats, are commonly designed according to increasing survivability requirements. The concept of survivability was first formalized by R. Ball in 1985 in its seminal work on combat aircraft survivability.On the basis of the theory presented in his work, many computer programs have been developed which implement the modelling techniques and computations required by vulnerability assessments. However,a clear and general view of the operative computational procedures is still lacking. Moreover, to date only a limited number of applications to helicopter platforms have been investigated in the survivability field,even though these platforms experience numerous flight conditions exposing the system to different types of threats. In this context, this work aims at establishing a multi-purpose general framework for the vulnerability assessment of different types of platforms subjected to external threats, with a focus on helicopters. The in-house software specifically developed for this application is here described in detail and employed to present a case study on a representative military helicopter. | L.Lomazzi F.Cadini M.Giglio A.Manes | 2022 | Defence Technology(防务技术)2022，18，9： | 2 |
| 18 | A survey on adversarial attacks and defences显示文摘Deep learning has evolved as a strong and efficient framework that can be applied to a broad spectrum of complex learning problems which were difficult to solve using the traditional machine learning techniques in the past.The advancement of deep learning has been so radical that today it can surpass human‐level performance.As a consequence,deep learning is being extensively used in most of the recent day‐to‐day applications.However,efficient deep learning systems can be jeopardised by using crafted adversarial samples,which may be imperceptible to the human eye,but can lead the model to misclassify the output.In recent times,different types of adversaries based on their threat model leverage these vulnerabilities to compromise a deep learning system where adversaries have high incentives.Hence,it is extremely important to provide robustness to deep learning algorithms against these adversaries.However,there are only a few strong countermeasures which can be used in all types of attack scenarios to design a robust deep learning system.Herein,the authors attempt to provide a detailed discussion on different types of adversarial attacks with various threat models and also elaborate on the efficiency and challenges of recent countermeasures against them. | Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay | 2021 | CAAI Transactions on Intelligence Technology2021，6，1： | 1 |
| 19 | 基于SWOT分析的中医院校战略选择——以南京中医药大学为例显示文摘当今社会,组织想要迅猛快速的发展离不开对战略的正确选择,高校也不例外,SWOT分析作为一种科学的分析方法广泛运用于战略分析和战略制定,本文通过对南京中医药大学SWOT分析。 | 徐蕴 | 2013 | 光明中医2013，28，11： | 1 |
| 20 | 应用SAP Enterprise Threat Detection实时发现针对网络安全的攻击显示文摘作为智慧企业的安全解决方案,SAP Enterprise Threat Detection(企业威胁检测解决方案)是一种可以检测SAP系统是否受到恶意攻击的产品。它运行在SAP的旗舰产品SAP HANA内存数据库上,并利用了SAP HANA的分析功能以及机器学习/人工智能方面的新发明。 | Gerlinde Zibulski 王成 | 2019 | 信息技术与标准化2019，，1： | 1 |
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