Particularites de l’epilepsie au cours des maladies inflammatoires du systeme nerveux central

Introduction : Les crises épileptiques (CE) font partie des manifestations neurologiques des maladies inflammatoires (MI). Elles constituent un tournant évolutif grave de la maladie. Objectifs : Nous avons évalué les particularités sémiologiques, électriques, radiologiques, thérapeutiques et évolutives de l’épilepsie au cours des MI du système nerveux central (SNC). Nous avons également discuté les mécanismes physiopathologiques de l’épilepsie ainsi que les facteurs prédictifs de survenue de CE chez ces patients. Méthodes : C’est une étude rétrospective incluant les patients suivis pour épilepsie dans le cadre d’une MI du SNC. Tous nos patients ont bénéficié d’une imagerie cérébrale. Résultat : Nous avons colligé 32 patients (11 avec sclérose en plaque, 6 avec maladie de Behcet et 15 avec lupus érythémateux disséminé). Le délai des CE au cours des MI était de 3,2 ans. Elles étaient généralisées dans 62,5 % des cas. L’IRM a montré des lésions sous corticales et des lésions du tronc cérébral respectivement dans 71,8 % et 25% des cas. Une thrombose veineuse cérébrale était diagnostiquée chez 3 malades. L’EEG a objectivé des ondes lentes dans 34% des cas, et des anomalies paroxystiques chez 3 patients. Le phénobarbital était le traitement le plus prescrit. Le contrôle des CE était obtenu dans la majorité des cas. Conclusion : La survenue des CE au cours des MI pose un problème de prise en charge. Un diagnostic précoce et un traitement de l’épilepsie permettent de contrôler ces crises afin d’éviter les états de mal épileptiques qui mettent en jeu le pronostic vital des patients. Mots clés: Epilepsie, Facteurs de risque, Maladies inflammatoires  Particularities of epilepsy associated with inflammatory diseases of the central nervous systemIntroduction: The frequency of the central nervous system involvement in autoimmune disorders is very variable. Seizures are among the most common neurological manifestations, and can be occasionally the presenting symptom.Methods: All files of 32 patients with autoimmune disorder diagnosed with epilepsy were evaluated retrospectively (11 with multiple sclerosis, 6 with Behcet disease, and 15 systemic lupus erythematosus). The demographic data, clinical findings including seizures, EEG and neuroimaging findings were reviewed. Results: The sex ratio was 0.45 (10H / 22F). Seizures started 3.2 years after the onset of the inflammatory diseases. They were during either the first or following neurological attacks in 68.7% of cases. 20 patients (62,5%) had only generalized tonic-clonic seizures. Brain magnetic resonance imaging (MRI) was performed to all patients. Sub-cortical and brainstem lesions were identified respectively in 71,8 % and 25%. MRI revealed cerebral sinus thrombosis in three patients. The EEG revealed focal epileptiform discharges in three patients. In 12 patients (34%) slow waves were seen. Antiepileptic drugs were prescribed in all cases (phenobarbital :53%, valproic acid: 31%, Carbamazepine: 15%). A sufficient control of seizures was obtained in most cases. Conclusion: Seizures often complicate systemic autoimmune disorders through a variety of mechanisms. A better understanding of the mechanisms of epileptogenesis in those patients could lead to targeted treatments and better outcomes. Key words: Epilepsy, inflammatory disease, risk factor

PufParkChain: Secure and Smart Parking Based on PUF Authentication and Lightweight Blockchain

Smart Parking Systems have emerged as a transformative solution to address the growing challenges associated with urbanization and increasing vehicular traffic. Such system integrates sensors, cameras, and other IoT connected devices to monitor parking spaces in real time. However, there are many security vulnerabilities in existing solutions, especially when it comes to car authentication at parking entry points. IoT sensors my be susceptible to Cyber-attacks and fraudulent activities, such as car theft, can exploit these vulnerabilities due to limited built-in security features. The reliability of authentication systems, based on IoT sensors can also be compromised by factors such as extreme weather conditions and physical damage. The cyber-physical solution we propose relies on Physical Unclonable Functions (PUFs) for identification and authentication in IoT devices to mitigate these challenges. The use of PUFs enhances the reliability and security of smart parking systems against unauthorized access and fraud. Furthermore, to ensure the integrity and confidentiality of the data within the smart parking ecosystem and to improve authentication process, we propose the implementation of a tailored blockchain framework. This framework incorporates lightweight local blockchains dedicated to individual parking slots, complemented by a central blockchain that manages data at the city level. The experimental results demonstrate the feasibility of the PUF computation process, showcasing an acceptable runtime for practical implementation. In the experimental results, we evaluated the SRAM used for the PUF implementation process and demonstrated its stability (intra HD equals to 2.25

Towards an Optimized Blockchain-Based Secure Medical Prescription-Management System

This work introduces a blockchain-based secure medical prescription-management system seamlessly integrated with a dynamic Internet of Things (IoT) framework. Notably, this integration constitutes a pivotal challenge in the arena of resource-constrained IoT devices: energy consumption. The choice of a suitable blockchain consensus mechanism emerges as the linchpin in surmounting this hurdle. Thus, this paper conducts a comprehensive comparison of energy consumption between two distinct consensus mechanisms: Proof of Work (PoW) and Quorum-based Byzantine fault tolerance (QBFT). Furthermore, an assessment of the most energy-efficient algorithm is performed across multiple networks and various parameters. This approach ensures the acquisition of reliable and statistically significant data, enabling meaningful conclusions to be drawn about the system’s performance in real-world scenarios. The experimental results show that, compared to the PoW, the QBFT consensus mechanism reduced the energy consumption by an average of 5%. This finding underscores the significant advantage of QBFT in addressing the energy consumption challenges posed by resource-constrained IoT devices. In addition to its inherent benefits of privacy and block time efficiency, the Quorum blockchain emerges as a more sustainable choice for IoT applications due to its lower power consumption

LoRaChainCare: An IoT Architecture Integrating Blockchain and LoRa Network for Personal Health Care Data Monitoring

Over the past several years, the adoption of HealthCare Monitoring Systems (HCS) in health centers and organizations like hospitals or eldery homes growth significantly. The adoption of such systems is revolutionized by a propelling advancements in IoT and Blockchain technologies. Owing to technological advancement in IoT sensors market, innovations in HCS to monitor patients health status have motivated many countries to strength their efforts to support their citizens with such care delivery systems under the directives of a physician who has access to patient’s data. Nevertheless, secure data sharing is a principal patient’s concern to be comfort to use such systems. Current HCS are not able to provide reassuring security policies. For that, one of our focus in this work, is to provide security countermeasures, likewise cost-efficient solution for HCS by integrating storage model based on Blockchain and Interplanetary File Systems (IPFS). Blockchain technology is an emerging solution in pharmaceutical industry and starts to take place for HCS and allows HealthCare providers to track connected devices and control access to shared data, hence protecting patients’ privacy. Furthermore, the addition of Edge and Fog computing has improved HCS to react in real-time and enhance their reliability. A variety of communication protocols can connect sensor devices to edge/Fog layer and the best choice will depend upon connectivity requirements: range, bandwidth, power, interoperability, security, and reliability. Instead, systems efficiency would decline and hurt if communication protocol is inconsistent. LoRa (Long Range) communications technology is emerging as the leader among Low-Power Wide-Area Networks (LPWANs) entering the IoT domain benefiting from many features such as long-range distances and low power consumption. This work proposes LoRaChainCare, an architecture model for HCS which combines the technologies Blockchain, Fog/Edge computing, and the LoRa communication protocol. A real implementation of LoRaChainCare system is presented and evaluated in terms of cost, run time and power consumption

Characterization of polysaccharides from Prunus amygdalus peels: Antioxidant and antiproliferative activities

International audiencePrunus amygdalus is used in the folk medicine that proved the interest of this plant which cures many diseases. Many researchers are interested to valorize almond waste (hull and shell) and to evaluate their biological and pharmacological activities. In this work, polysaccharides from Prunus amygdalus shell were extracted sequentially by water, ammonium oxalate and hydrochloric acid. The monosaccharide composition of polysaccharides fractions was performed by GC–MS. Water-soluble polysaccharide was found to be the most effective extracting agent with an extracted yield of 9%. The acid Soluble Polysaccharides (ASP) exhibited the highest galacturonic acid content (31.95%), the highest polysaccharides extractability (88.57%) and the lowest degree of esterification (31.76%). The different polysaccharides fractions were characterized by FTIR, 1H NMR and SEC/MALS/VD/DRI. The antioxidant tests (DPPH, ABTS and FRAP) indicated that ASP showed even better antioxidant activities. Moreover, the result of the antiproliferative activity against Caco-2 and B-16 cells showed that ASP exhibited strong cytotoxicity ability which confirmed that the Prunus amygdalus peels may comprise the natural raw materials for new drug and functional food