The Defining Schemes of Semantic Prosody

Sinclair is regarded as the father of semantic prosody study,however,the term "semantic prosody" was proposed by another famous linguist——Louw in 1993.From then on,several linguists proposed the definitions for this term and thus the features of semantic prosody become progressively clear.

基于混合式教学的高职英语“课程思政”的实践研究——以“A Defining Moment”为例

"课程思政"是依托于课程进行思政教育的教学活动,高职英语教师将"立德树人"渗透到英语教学中,旨在提高学生的人文素养,使学生树立正确的价值观。混合式教学是线上学习和课堂学习的有机结合。将混合式教学和"课程思政"相结合进行探索,可作为"课程思政"实现的一种尝试。文章以《新视野英语教程3》第四单元TextA"A Defining Moment"一文教学为例,将其中的德育因素作为思政教育的切入点,采用混合式教学的方式,实证研究课程思政和高职英语教学的有机融合。

Preoperative defining system for pancreatic head cancer considering surgical resection

AIM: To provide appropriate treatment, it is crucial to share the clinical status of pancreas head cancer among multidisciplinary treatment members. METHODS: A retrospective analysis of the medical records of 113 patients who underwent surgery for pancreas head cancer from January 2008 to December 2012 was performed. We developed preoperative defining system of pancreatic head cancer by describing "resectability- tumor location- vascular relationship- adjacent organ involvement- preoperative CA19-9(initial bilirubin level)- vascular anomaly". The oncologic correlations with this reporting system were evaluated.RESULTS: Among 113 patients, there were 75 patients(66.4%) with resectable, 34 patients(30.1%) with borderline resectable, and 4 patients(3.5%) with locally advanced pancreatic cancer. Mean disease-free survival was 24.8 mo(95%CI: 19.6-30.1) with a 5-year diseasefree survival rate of 13.5%. Pretreatment tumor size ≥ 2.4 cm [Exp(B) = 3.608, 95%CI: 1.512-8.609, P = 0.044] and radiologic vascular invasion [Exp(B) = 5.553, 95%CI: 2.269-14.589, P = 0.002] were independent predictive factors for neoadjuvant treatment. Borderline resectability [Exp(B) = 0.222, P = 0.008], pancreatichead cancer involving the pancreatic neck [Exp(B) = 9.461, P = 0.001] and arterial invasion [Exp(B) = 6.208, P = 0.010], and adjusted CA19-9 ≥ 50 [Exp(B) = 1.972 P = 0.019] were identified as prognostic clinical factors to predict tumor recurrence. CONCLUSION: The suggested preoperative defining system can help with designing treatment plans and also predict oncologic outcomes.

Towards Defining the Pathophysiology of Autistic Behavior (Z4)

Meeting Summary Autism is a neurodevelopmental disorder defined by the of a set of characteristic behavioral features. One of the most common neurodevelopmental disorders, autism is recognized as heterogeneous in etiology, phenotype, behavioral trajectory and response to treatment. While the etiology and specific pathogenetic mechanisms underlying autism are unknown, those mechanisms which underlie a small subset of etiologically-defined neurodevelopmental disorders （e.g., Fragile X Syndrome, tuberous sclerosis）, that are associated with autism and autistic behaviors, have been well described.

Defining the Transition from Cell Elongation to Secondary Cell Wall Biosynthesis:Promoter Analyses,Transcript Profiling,and Genomic Analysis of Near-isogenic Germplasms that Differ in Fiber Strength

A distinct set of homoeologous cellulose synthase catalytic subunit(CesA) genes are coordinately up-regulated with the onset of secondary wall formation in cotton fiber as shown by quantitative-RT-

Defining Non-Traditional Security and Its Implications for China

Non-traditional security, often abbreviated to NTS, is a popular but rather ambiguousconcept within and outside academic circles. How to accurately define this term? Whatshould be considered in prioritising the needs to curb various NTS threats, given a countryslimited resources and capacities? By raising thought-provoking questions, the author triesto explain the perplexity concerning NTS issues, arguing that NTS is important in economic,political and security sense, but that more efforts are needed from the academics in order toreach a consensus in understanding and dealing with NTS issues.

Open-Source Software Defined Networking Controllers:State-of-the-Art,Challenges and Solutions for Future Network Providers

Software Defined Networking(SDN)is programmable by separation of forwarding control through the centralization of the controller.The controller plays the role of the‘brain’that dictates the intelligent part of SDN technology.Various versions of SDN controllers exist as a response to the diverse demands and functions expected of them.There are several SDN controllers available in the open market besides a large number of commercial controllers;some are developed tomeet carrier-grade service levels and one of the recent trends in open-source SDN controllers is the Open Network Operating System(ONOS).This paper presents a comparative study between open source SDN controllers,which are known as Network Controller Platform(NOX),Python-based Network Controller(POX),component-based SDN framework(Ryu),Java-based OpenFlow controller(Floodlight),OpenDayLight(ODL)and ONOS.The discussion is further extended into ONOS architecture,as well as,the evolution of ONOS controllers.This article will review use cases based on ONOS controllers in several application deployments.Moreover,the opportunities and challenges of open source SDN controllers will be discussed,exploring carriergrade ONOS for future real-world deployments,ONOS unique features and identifying the suitable choice of SDN controller for service providers.In addition,we attempt to provide answers to several critical questions relating to the implications of the open-source nature of SDN controllers regarding vendor lock-in,interoperability,and standards compliance,Similarly,real-world use cases of organizations using open-source SDN are highlighted and how the open-source community contributes to the development of SDN controllers.Furthermore,challenges faced by open-source projects,and considerations when choosing an open-source SDN controller are underscored.Then the role of Artificial Intelligence(AI)and Machine Learning(ML)in the evolution of open-source SDN controllers in light of recent research is indicated.In addition,the challenges and limitations associated with deploying open-source SDN controllers in production networks,how can they be mitigated,and finally how opensource SDN controllers handle network security and ensure that network configurations and policies are robust and resilient are presented.Potential opportunities and challenges for future Open SDN deployment are outlined to conclude the article.

Threshold-Based Software-Defined Networking(SDN)Solution for Healthcare Systems against Intrusion Attacks

The healthcare sector holds valuable and sensitive data.The amount of this data and the need to handle,exchange,and protect it,has been increasing at a fast pace.Due to their nature,software-defined networks(SDNs)are widely used in healthcare systems,as they ensure effective resource utilization,safety,great network management,and monitoring.In this sector,due to the value of thedata,SDNs faceamajor challengeposed byawide range of attacks,such as distributed denial of service(DDoS)and probe attacks.These attacks reduce network performance,causing the degradation of different key performance indicators(KPIs)or,in the worst cases,a network failure which can threaten human lives.This can be significant,especially with the current expansion of portable healthcare that supports mobile and wireless devices for what is called mobile health,or m-health.In this study,we examine the effectiveness of using SDNs for defense against DDoS,as well as their effects on different network KPIs under various scenarios.We propose a threshold-based DDoS classifier(TBDC)technique to classify DDoS attacks in healthcare SDNs,aiming to block traffic considered a hazard in the form of a DDoS attack.We then evaluate the accuracy and performance of the proposed TBDC approach.Our technique shows outstanding performance,increasing the mean throughput by 190.3%,reducing the mean delay by 95%,and reducing packet loss by 99.7%relative to normal,with DDoS attack traffic.

Service Function Chain Migration in LEO Satellite Networks

With the advancements of software defined network(SDN)and network function virtualization(NFV),service function chain(SFC)placement becomes a crucial enabler for flexible resource scheduling in low earth orbit(LEO)satellite networks.While due to the scarcity of bandwidth resources and dynamic topology of LEO satellites,the static SFC placement schemes may cause performance degradation,resource waste and even service failure.In this paper,we consider migration and establish an online migration model,especially considering the dynamic topology.Given the scarcity of bandwidth resources,the model aims to maximize the total number of accepted SFCs while incurring as little bandwidth cost of SFC transmission and migration as possible.Due to its NP-hardness,we propose a heuristic minimized dynamic SFC migration(MDSM)algorithm that only triggers the migration procedure when new SFCs are rejected.Simulation results demonstrate that MDSM achieves a performance close to the upper bound with lower complexity.

Security Monitoring and Management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques

Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified network lifecycle,and policies management.Network vulnerabilities try to modify services provided by Network Function Virtualization MANagement and Orchestration(NFV MANO),and malicious attacks in different scenarios disrupt the NFV Orchestrator(NFVO)and Virtualized Infrastructure Manager(VIM)lifecycle management related to network services or individual Virtualized Network Function(VNF).This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and handle security functions in order to enhance the quality of experience for end users.An anomaly detector investigates these identified risks and provides secure network services.It enables virtual network security functions and identifies anomalies in Kubernetes(a cloud-based platform).For training and testing purpose of the proposed approach,an intrusion-containing dataset is used that hold multiple malicious activities like a Smurf,Neptune,Teardrop,Pod,Land,IPsweep,etc.,categorized as Probing(Prob),Denial of Service(DoS),User to Root(U2R),and Remote to User(R2L)attacks.An anomaly detector is anticipated with the capabilities of a Machine Learning(ML)technique,making use of supervised learning techniques like Logistic Regression(LR),Support Vector Machine(SVM),Random Forest(RF),Naïve Bayes(NB),and Extreme Gradient Boosting(XGBoost).The proposed framework has been evaluated by deploying the identified ML algorithm on a Jupyter notebook in Kubeflow to simulate Kubernetes for validation purposes.RF classifier has shown better outcomes(99.90%accuracy)than other classifiers in detecting anomalies/intrusions in the containerized environment.

Scaled boundary finite element method with exact defining curves for two-dimensional linear multi-field media

This paper presents an efficient and accurate numerical technique based upon the scaled boundary finite element method for the analysis of two-dimensional,linear,second-order,boundary value problems with a domain completely described by a circular defining curve.The scaled boundary finite element formulation is established in a general framework allowing single-field and multi-field problems,bounded and unbounded bodies,distributed body source,and.general boundary conditions to be treated in a unified fashion.The conventional polar coordinates together with a properly selected scaling center are utilized to achieve the exact description of the circular defining curve,exact geometry of the domain,and exact spatial differential operators.Standard finite element shape functions are employed in the discretization of both trial and test functions in the circumferential direction and the resulting eigenproblem is solved by a selected efficient algorithm.The computational performance of the implemented procedure is then fully investigated for various scenarios to demonstrate the accuracy in comparison with standard linear elements.

Numerical investigation of circle defining curve for two-dimensional problem with general boundaries using the scaled boundary finite element method

The scaled boundary finite element method (SBFEM)is applied to the static analysis of two dimensional elasticity problem,boundary value problems domain with the domain completely described by a circular defining curve. The scaled boundary finite element equations is formulated within a general framework integrating the influence of the distributed body force,general boundary conditions,and bounded and unbounded domain.This paper investigates the possibility of using exact geometry to form the exact description of the circular defining curve and the standard finite element shape function to approximate the defining curve.Three linear elasticity problems are presented to verify the proposed method with the analytical solution.Numerical examples show the accuracy and efficiency of the proposed method,and the performance is found to be better than using standard linear element for the approximation defining curve on the scaled boundary method.

The Projective Cover of the Trivial Representation for a Finite Group of Lie Type in Defining Characteristic

We give a lower bound of the Loewy length of the projective cover of the trivial module for the group algebra kG of a finite group G of Lie type defined over a finite field of odd characteristic p, where k is an arbitrary field of characteristic p. The proof uses Auslander-Reiten theory.

Review of Load Balancing Mechanisms in SDN-Based Data Centers

With the continuous expansion of the data center network scale, changing network requirements, and increasing pressure on network bandwidth, the traditional network architecture can no longer meet people’s needs. The development of software defined networks has brought new opportunities and challenges to future networks. The data and control separation characteristics of SDN improve the performance of the entire network. Researchers have integrated SDN architecture into data centers to improve network resource utilization and performance. This paper first introduces the basic concepts of SDN and data center networks. Then it discusses SDN-based load balancing mechanisms for data centers from different perspectives. Finally, it summarizes and looks forward to the study on SDN-based load balancing mechanisms and its development trend.

Multipath Selection Algorithm Based on Dynamic Flow Prediction

Traditional traffic management techniques appear to be incompetent in complex data center networks, so proposes a load balancing strategy based on Long Short-Term Memory (LSTM) and quantum annealing by Software Defined Network (SDN) to dynamically predict the traffic and comprehensively consider the current and predicted load of the network in order to select the optimal forwarding path and balance the network load. Experiments have demonstrated that the algorithm achieves significant improvement in both system throughput and average packet loss rate for the purpose of improving network quality of service.

DEFINING THE MIDDLE CLASS

Classifying the middle class remains controversial despite its alleged growth China’s cities housed more than 230 million middle-class residents in 2009 or 37 percent of the urban population,according to the 2011 Blue Book of Cities in China released on August 3.

DEFINING COMMUNITY

Dialogue of civilizations is a necessity as humanity pursues a shared future Communication and collaboration——the ability to listen, understand, then do something meaningful with the information provided through openness and exchange——has been fundamental to the growth and development of the individual,societies, and humanity. It still remains.

A Defining Moment?

White House’s decision to impose prohibitive tariffs on Chinese tires puts Sino-U.S. relations to the test Despite all of the stress points, both real and imagined, Sino-U.S. trade relations have held up remarkably well. Indeed,

DEFINING GLOBAL LIVING IN BEIJING

Ascott Intemational is the largest serviced residence operator in the world. Managing the Ascott,Somerset and Citadines brands in over 60 cities across