Le chordome sacrococcygien: à propos d´un cas

Le chordome sacrococcygien est une entité pathologique rare, rapporté dans seulement moins de 3% des cas. Nous allons rapporter l´observation d´une patiente prise en charge au Centre Régional d'Oncologie d'Oujda au Maroc ayant présenté un chordome sacrococcygien localement avancé. Le traitement a consisté en une radiothérapie exclusive sur la tumeur, la chirurgie d´exérèse n´était pas possible. Actuellement la patiente est à 2 ans de recul, la tumeur est d´aspect stable cliniquement et radiologiquement avec un bon état général

FVM model and virtual instrument based system for electromagnetic characterization of steel material

This paper deals with a finite volume model and virtual instrument based system for electromagnetic characterization of steel material. Both magnetic permeability and electrical conductivity are electromagnetic properties must be defined. These two parameters are strongly required for electromagnetic problems analysis such as in eddy current nondestructive testing problem. The magnetic permeability is measured by using the B(H) loop of the steel material which is illustrated by experimental measurement through a virtual instrument based system. However, the electrical conductivity is obtained by the solution of an inverse problem. For that reason a direct electromagnetic model is analyzed using the finite volume method

Toward a real-time TCP SYN Flood DDoS mitigation using Adaptive Neuro-Fuzzy classifier and SDN Assistance in Fog Computing

The growth of the Internet of Things (IoT) has recently impacted our daily lives in many ways. As a result, a massive volume of data is generated and needs to be processed in a short period of time. Therefore, the combination of computing models such as cloud computing is necessary. The main disadvantage of the cloud platform is its high latency due to the centralized mainframe. Fortunately, a distributed paradigm known as fog computing has emerged to overcome this problem, offering cloud services with low latency and high-access bandwidth to support many IoT application scenarios. However, Attacks against fog servers can take many forms, such as Distributed Denial of Service (DDoS) attacks that severely affect the reliability and availability of fog services. To address these challenges, we propose mitigation of Fog computing-based SYN Flood DDoS attacks using an Adaptive Neuro-Fuzzy Inference System (ANFIS) and Software Defined Networking (SDN) Assistance (FASA). The simulation results show that FASA system outperforms other algorithms in terms of accuracy, precision, recall, and F1-score. This shows how crucial our system is for detecting and mitigating TCP SYN floods DDoS attacks.Comment: 16 page

Evaluation of the Acute Toxicity of Dandelion (Taraxacum officinale) Roots

Introduction: Dandelion (Taraxacum officinale) is a medicinal plant used in alternative medicine for its multiple therapeutic and preventive properties. However, insufficient data are available about its toxicity. Materials and methods: dandelion roots total extract vas prepared by maceration for 24 hours and its toxicity was then assessed on 30 WISTAR male rats divided into four experimental groups receiving the extract at different rates, and one control group treated with the vehicle. Changes in renal, hepatic, lipid, and hematological parameters as well as signs of acute toxicity were noted during 15 days after the one dose extract administration. Results and discussion: The obtained results reveal a very significant (p<0.01) disruption of transaminases but not renal, lipid and hematological parameters. The acute toxicity study demonstrated that dendelion roots extract has low intraperitoneal toxicity with a LD50 ranged between 500 and 5000 mg/kg. Conclusion: Dandelion's richness in secondary metabolites and its low in vivo toxicity make it a good candidate as a source of drugs with anti-inflammatory and anti-cancer properties. Keywords: Dandelion, Acute toxicity, LD50, Transaminases, lipids, hematolog

Toward a Real-Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro-Fuzzy Classifier and SDN Assistance in Fog Computing

The growth of the Internet of Things (IoT) has recently impacted our daily lives in many ways. As a result, a massive volume of data are generated and need to be processed in a short period of time. Therefore, a combination of computing models such as cloud computing is necessary. The main disadvantage of the cloud platform is its high latency due to the centralized mainframe. Fortunately, a distributed paradigm known as fog computing has emerged to overcome this problem, offering cloud services with low latency and high-access bandwidth to support many IoT application scenarios. However, attacks against fog servers can take many forms, such as distributed denial of service (DDoS) attacks that severely affect the reliability and availability of fog services. To address these challenges, we propose mitigation of fog computing-based SYN Flood DDoS attacks using an adaptive neuro-fuzzy inference system (ANFIS) and software defined networking (SDN) assistance (FASA). The simulation results show that the FASA system outperforms other algorithms in terms of accuracy, precision, recall, and F1-score. This shows how crucial our system is for detecting and mitigating TCP-SYN floods and DDoS attacks

Fabrication of multi-well chips for spheroid cultures and implantable constructs through rapid prototyping techniques

Three-dimensional (3D) culture models are widely used in basic and translational research. In this study, to generate and culture multiple 3D cell spheroids, we exploited laser ablation and replica molding for the fabrication of polydimethylsiloxane (PDMS) multi-well chips, which were validated using articular chondrocytes (ACs). Multi-well ACs spheroids were comparable or superior to standard spheroids, as revealed by glycosaminoglycan and type-II collagen deposition. Moreover, the use of our multi-well chips significantly reduced the operation time for cell seeding and medium refresh. Exploiting a similar approach, we used clinical-grade fibrin to generate implantable multi-well constructs allowing for the precise distribution of multiple cell types. Multi-well fibrin constructs were seeded with ACs generating high cell density regions, as shown by histology and cell fluorescent staining. Multi-well constructs were compared to standard constructs with homogeneously distributed ACs. After 7 days in vitro, expression of SOX9, ACAN, COL2A1, and COMP was increased in both constructs, with multi-well constructs expressing significantly higher levels of chondrogenic genes than standard constructs. After 5 weeks in vivo, we found that despite a dramatic size reduction, the cell distribution pattern was maintained and glycosaminoglycan content per wet weight was significantly increased respect to pre-implantation samples. In conclusion, multi-well chips for the generation and culture of multiple cell spheroids can be fabricated by low-cost rapid prototyping techniques. Furthermore, these techniques can be used to generate implantable constructs with defined architecture and controlled cell distribution, allowing for in vitro and in vivo investigation of cell interactions in a 3D environment