The potential prognostic and therapeutic application of tissue and circulating microRNAs in cervical cancer

Cervical cancer (CC) is a common malignancy in women and a major cause of cancer- related mortality globally. Some novel biomarkers may enable the early diagnosis and monitoring of CC. MicroRNAs are small noncoding RNAs that control gene translation at a post transcriptional level. Hence the deregulation of these molecules can cause many diseases. There appears to be an association between aberrant miRNA expression and CC, but the molecular mechanisms involved in the development of CC remain unknown. The upregulation of some circulating miRNAs, e.g. miRNA-20a, miRNA-203, miRNA-21, miRNA-205, miRNA-218, and miR-485-5, as well as tissue specific-miRNAs, e.g. miR-7, miR-10a, miR-17-5p, miR-135b, miR-149 and miR-203 has been found in patients with CC. There is also growing evidence for the importance of miRNAs in the development of drug-resistance. This review therefore highlights recently published preclinical and clinical investigation performed on tissue-specific and circulating miRNAs, as potential biomarkers for the detection of patients at early stages of CC, in the prediction of prognosis, and monitoring of their response to therapy. Key word: cervical cancer, CIN, MiRNA, circulating biomarker, tissue-specific biomarker, HP

The AutoI approach for the orchestration of autonomic networks

Existing services require assurable end to-end quality of service, security and reliability constraints. Therefore, the networks involved in the transport of the data must cooperate to satisfy those constraints. In a next generation Internet, each of those networks may be managed by different entities. Fur thermore, their policies and service level agreements (SLAs) will differ, as well as the autonomic management systems controlling them. In this context, we in the Autonomic Internet (AutoI) consortium propose the Orchestration Plane (OP), which promotes the interaction among different Autonomic Management Systems (AMSs). The OP mediates the communication and negotiation amongAMSs, ensuring that their SLAs and policies meet the requirement needed for the provisioning of the services. It also simplifies the federation of domains and the distribution of new services in virtualised network environments.Peer ReviewedPostprint (author’s final draft

Manageability of Future Internet Virtual Networks from a Practical Viewpoint

International audienceThe Autonomic Internet project approach relies on abstractions and distributed systems of a five plane solution for the provision of Future Internet Services (OSKMV): Orchestration, Service Enablers, Knowledge, Management and Virtualisation Planes. This paper presents a practical viewpoint of the manageability of virtual networks, exercising the components and systems that integrate this approach and that are being validated. This paper positions the distributed systems and networking services that integrate this solution, focusing on the provision of Future Internet services for self-configuration and self- performance management scenes

An autonomic architecture for wireless networks (proposition and evaluation methodology)

PARIS-BIUSJ-Mathématiques rech (751052111) / SudocSudocFranceF

Investigation of human error by using THERP method in control room of incoiler department in a pipe manufacturing company

Background & Aims of the Study: Today, in many sensitive occupational environments, human error can lead to catastrophic events. Given that the sensitive task of a control area operator, which in the occurrence of malfunction or failure leads to irreparable events, it is important to predict human errors to reduce its adverse consequences. Therefore, the present study was  perform by aiming to identify human error of the control room operators in a pipe company of Ahvaz in 2017 using by using human error rate prediction technique. Materials and Methods: After numerous questions from the personnel and observing event sheets, important jobs were identified and then the Hierarchy Task Analysis, critical tasks was carried out and finally, the likelihood of  human error in every of the critical tasks was decided by means of the THERP technique. Results: Totally 5 main tasks and 21 subtasks were analyzed. Most of the errors recognized in this company were functional and among which factors affecting fatigue performance by 19.67% and experience by 18.03% and the training by 16.39% were the most influential factors. Conclusion: According that maximum of the identified errors are functional, so targeted training courses for personnel and the try to employ people with relevant education and experience can be effective in reducing probability of human error. Also, planning for shift workers can be effective in reducing fatigue

A survey on green routing protocols using sleep-scheduling in wired networks

International audienceOver recent years, green communications have been proposed as an emerging strategy to reduce the Carbon footprint produced by the networking sector. It consists in using different software and hardware techniques allowing to minimize the energy consumption of network components. A significant amount of energy saving can be obtained by switching redundant or unused network components to inactive mode, referred to as sleep-scheduling. To achieve this, the routing algorithm should aggregate traffic flows over a subset of network routers and their links, allowing other components to be switched off. The objective of this paper is to present a holistic survey on existing sleep-scheduling based green routing protocols in wired networks. First, we propose a classification of main properties of sleep-scheduling based green routing protocols and use the proposed classification to categorize and describe the existing literature. Moreover, we provide a comprehensive comparison of existing green routing protocols and determine the main characteristics, assets and issues of each proposal. In addition, we identify and classify the main metrics for evaluating and comparing the efficiency of green routing protocols using sleep-scheduling. Finally, we identify the open issues and key guidelines towards an ideal green routing protocol for wired networks

Une architecture du réseau autonomique basée sur l’apprentissage par paquet

Autonomic computing paradigm represents an emerging solution to deal with the ever-increasing size and complexity of managing IT systems. When applied to the networking, it relates to the capability of the network to operate and serve its objectives optimally by managing its own self without external intervention. We distinguish between two levels of management: Intra-application level which consists in managing different parameters within an application or service in order to optimize it; and inter-application level which is in charge of optimizing between several different applications and services. In this paper, we propose a generic approach applicable to both area. Our proposed architecture is based on random neural networks and uses the reinforcement learning. This enables the network to continuously converge to optimal configurations when network conditions change. In addition, the random neural network decision-making process is fed by normal transiting packets in the network, which significantly reduce the amount of control traffic. To show the effectiveness or our architecture, a case study consisting in optimizing the performance of mobile ad hoc network routing protocols is used. We proposed a dynamic routing protocol which interacts continuously with the architecture in order to enhance the network operation. Simulations show that the architecture improves significantly the QoS performance of ad hoc routing protocols.Paradigme de système autonome représente une solution émergente pour faire face à la taille sans cesse croissante et la complexité de la gestion des systèmes IT. L’autonomie dans les réseaux se traduit par la capacité du réseau pour fonctionner et servir ses objectifs de façon optimale sans intervention extérieure. Nous distinguons deux niveaux de gestion: Intra-application et Inter-application. Le niveau de gestion intra-application consiste à gérer les différents paramètres au sein d'une application ou un service, afin d’optimiser l’application en question. Le niveau de gestion inter-applications est en charge de l'optimisation entre les différentes applications et de services. Dans ce papier, nous proposons une approche générique applicable à la fois à la gestion inter-application et intra-application. Notre architecture proposée est basée sur les réseaux de neurones aléatoires et utilise l'apprentissage par renforcement. Cela permet au réseau de converger en permanence vers des configurations optimales lorsque les conditions du réseau change. En outre, le processus décisionnel du réseau de neurones aléatoires est alimenté par paquets normales transitant dans le réseau, ce qui réduit considérablement la quantité de surcout de contrôle. Pour montrer l'efficacité de notre architecture, nous avons utilisé une étude de cas consistant à optimiser les performances des protocoles de routage des réseaux mobiles ad hoc. A cette fin, le protocole de routage devrait interagir en permanences avec notre architecture afin d’optimiser ses performances. Les simulations montrent que l'architecture améliore considérablement les performances des protocoles de QoS routage ad hoc

An Overview of Vehicular Ad hoc Network Evaluation Alternatives

International audienceVehicular Ad Hoc Networks (VANETs) is attracting a growing attention from both research and industry, due to the important range of applications raised by VANETs, from road safety to traffic control, up to travel and comfort entertainment. Because of their particular characteristics, VANETs require the definition of specific networking techniques whose performance and feasibility need to be evaluated via an appropriate realistic evaluation method. In this paper, we present a practical taxonomy of evaluation techniques, outlining the evaluation alternatives used in the literature. This classification follows a comparative approach, describing the pros and cons of each one. Our ultimate aim is to allow the selection of a suitable tool regarding the designer specific needs to perform the evaluation

Une architecture du réseau autonomique basée sur l’apprentissage par paquet

Autonomic computing paradigm represents an emerging solution to deal with the ever-increasing size and complexity of managing IT systems. When applied to the networking, it relates to the capability of the network to operate and serve its objectives optimally by managing its own self without external intervention. We distinguish between two levels of management: Intra-application level which consists in managing different parameters within an application or service in order to optimize it; and inter-application level which is in charge of optimizing between several different applications and services. In this paper, we propose a generic approach applicable to both area. Our proposed architecture is based on random neural networks and uses the reinforcement learning. This enables the network to continuously converge to optimal configurations when network conditions change. In addition, the random neural network decision-making process is fed by normal transiting packets in the network, which significantly reduce the amount of control traffic. To show the effectiveness or our architecture, a case study consisting in optimizing the performance of mobile ad hoc network routing protocols is used. We proposed a dynamic routing protocol which interacts continuously with the architecture in order to enhance the network operation. Simulations show that the architecture improves significantly the QoS performance of ad hoc routing protocols.Paradigme de système autonome représente une solution émergente pour faire face à la taille sans cesse croissante et la complexité de la gestion des systèmes IT. L’autonomie dans les réseaux se traduit par la capacité du réseau pour fonctionner et servir ses objectifs de façon optimale sans intervention extérieure. Nous distinguons deux niveaux de gestion: Intra-application et Inter-application. Le niveau de gestion intra-application consiste à gérer les différents paramètres au sein d'une application ou un service, afin d’optimiser l’application en question. Le niveau de gestion inter-applications est en charge de l'optimisation entre les différentes applications et de services. Dans ce papier, nous proposons une approche générique applicable à la fois à la gestion inter-application et intra-application. Notre architecture proposée est basée sur les réseaux de neurones aléatoires et utilise l'apprentissage par renforcement. Cela permet au réseau de converger en permanence vers des configurations optimales lorsque les conditions du réseau change. En outre, le processus décisionnel du réseau de neurones aléatoires est alimenté par paquets normales transitant dans le réseau, ce qui réduit considérablement la quantité de surcout de contrôle. Pour montrer l'efficacité de notre architecture, nous avons utilisé une étude de cas consistant à optimiser les performances des protocoles de routage des réseaux mobiles ad hoc. A cette fin, le protocole de routage devrait interagir en permanences avec notre architecture afin d’optimiser ses performances. Les simulations montrent que l'architecture améliore considérablement les performances des protocoles de QoS routage ad hoc

ADMA: Autonomous Decentralized Management Architecture for MANETs - A Simple Self-Configuring Case Study

International audienceADMA represents an Autonomous Decentralized Management Architecture designed to provide Mobile Ad Hoc Networks (MANETs) with autonomic principles. It allows the network to configure and reconfigure itself under environment changes without any human intervention. Our solution operates in a peer-to-peer manner and does not require any centralized entity to perform network management functions. Each mobile node implementing ADMA components is able to take the appropriate decision based on predefined high level policies and collected monitoring information. We present in this paper the basic components of an ADMA node. Then, we provide a simple self-configuring case study of our design considering Voice over IP (VoIP) as a test application. Simulation results show an improvement of the VoIP delay and loss rate while applying predefined policies