Introduction : Among genetic diseases in hematology, β Thalassemia ranks second after sickle cell disorders in Algeria. Given the seriousness and cost of the care that arises, a national action plan is needed. As a starting point, a national survey is essential to know the epidemiological situation of this disease. Objective : To determine the soci-demographic, diagnosis and evolution characteristics of major and intermediate thalassemia in Algeria. Materiels and Methods : This is a multicenter, retrospective, analytical study of 775 patients with thalassemia major (TM: 598 cases) and intermediate (TI: 177 cases). This national survey is representative of 21 services (Hematology: 19, Pediatrics: 03). The data was collected from medical records on a survey card distributed to all relevant services. Results : As of January 1, 2017, the prevalence of β Thalassemia estimated from this study is of the order of 3.47 cases per 100 000 inhabitants. The current average age of major thalassemia (MT) is 17.90 years, with extremes of [1-44 years], that of intermediate form (IT) is 23 years old with extremes of [1-61 years], the sex ratio is 1.15. The concept of consanguinity is specified in 499 patients and is present in 49.30% of cases, the geographical origin of patients is variable, 53% are from the center of the country and 43% from the east. The circumstances of the diagnosis are known in 87.25% of subjects, these are clinical symptoms in 93.91% of patients, with an average age at diagnosis of 16.31 months for MT and 5.5 years for IT. The diagnosis is neonatal in only 5.68% of cases. Blood cells transfusion needs are known in 80% of our cohort, 86% receive a systematic and regular diet; 554 patients are on chelation therapy, the main modality being deferoxamine or Deferasirox type monotherapy. 40 MT patients received Hematopoetic Stem Cell Transplantation. The monitoring of iron overload was based mainly on the determination of ferritinemia, only 8.8% of patients received cardiac and hepatic MRI. Various complications associated with iron overload have been reported, the most common being: Hepatic injury (48%), heart disease (36%), diabetes (30%), hypothyroidism (29.17). %), with average ages of onset of 26.67, 18, 19, and 14.50 years, respectively. In addition, viral serology was performed in 536 patients, 64 (11.9%) of whom were carriers of anti-HCV Ab. Conclusion : The quality and life expectancy of thalassemic patients has improved significantly in recent years; complications related to iron overload remain the leading cause of death, the means of evaluation remain insufficient in our country. In addition, the care of our patients must be standardized on the national territory. Disclosures No relevant conflicts of interest to declare.

The composition of the diet of the barbel (Luciobarbus callensis) was studied in the K’sob reservoir near the town of M’Sila (Algeria). The capture of the barbels was carried out between September 2010 and August 2011.The diet was studied from 379 specimens collected by trammel net. During the study period, it was noted that the food spectrum essentially consisted of Chironomids, Ephemeroptera and Copepods, which are abundant in the environment. The barbel of the K’sob reservoir has a seasonal food pattern influenced by climatic and ecological conditions and by its reproductive cycle. The diet of L. callensis in the study area is omnivorous, with a zoo-benthophage tendency.

In this paper, state variables estimation and Fuzzy Sliding Mode Control (FSMC) are presented in order to estimate the state variables and altitude-attitude tracking control in presence of internal and external disturbances for unmanned quadrotor. The main idea of the proposed control strategy is the development of an Extended Kalman Filter (EKF) for the observation of the states. Fuzzy logic systems are used to adapt the unknown switching-gains to eliminate the chattering phenomenon induced by Sliding Mode Control (SMC). The stability of the system is guaranteed in the sense of Lyapunov. The effectiveness and robustness of the proposed controller-observer scheme that takes into account internal and external disturbances are demonstrated on computer simulation using Matlab environment.

The interest shown by some community of researchers to autonomous drones or UAVs (unmanned aerial vehicles) has increased with the advent of wireless communication networks. These networks allow UAVs to cooperate more efficiently in an ad hoc manner in order to achieve specific tasks in specific environments. To do so, each drone navigates autonomously while staying connected with other nodes in its group via radio links. This connectivity can deliberately be maintained for a while constraining the mobility of the drones. This will be suitable for the drones involved in a given path of a given transmission between a source and a destination. This constraint could be removed at the end of the transmission process and the mobility of each concerned drone becomes again independent from the others. In this work, we proposed a flocking-based routing protocol for UAVs called BR-AODV. The protocol takes advantage of a well known ad hoc routing protocol for on-demand route computation, and the Boids of Reynolds mechanism for connectivity and route maintaining while data is being transmitted. Moreover, an automatic ground base stations discovery mechanism has been introduced for a proactive drones and ground networks association needed for the context of real-time applications. The performance of BR-AODV was evaluated and compared with that of classical AODV routing protocol and the results show that BR-AODV outperforms AODV in terms of delay, throughput and packet loss.

The interest shown by some community of researchers to autonomous drones or UAVs (unmanned aerial vehicles) has increased with the advent of wireless communication networks. These networks allow UAVs to cooperate more efficiently in an ad hoc manner in order to achieve specific tasks in specific environments. To do so, each drone navigates autonomously while staying connected with other nodes in its group via radio links. This connectivity can deliberately be maintained for a while constraining the mobility of the drones. This will be suitable for the drones involved in a given path of a given transmission between a source and a destination. This constraint could be removed at the end of the transmission process and the mobility of each concerned drone becomes again independent from the others. In this work, we proposed a flocking-based routing protocol for UAVs called BR-AODV. The protocol takes advantage of a well known ad hoc routing protocol for on-demand route computation, and the Boids of Reynolds mechanism for connectivity and route maintaining while data is being transmitted. Moreover, an automatic ground base stations discovery mechanism has been introduced for a proactive drones and ground networks association needed for the context of real-time applications. The performance of BR-AODV was evaluated and compared with that of classical AODV routing protocol and the results show that BR-AODV outperforms AODV in terms of delay, throughput and packet loss.