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      • KCI등재

        The Genetic Facets of Dravet Syndrome: Recent Insights

        Hinde El Mouhi,Meriame Abbassi,Meryem Jalte,Abdelhafid Natiq,Laila Bouguenouch,Sana Chaouki 대한소아신경학회 2024 대한소아신경학회지 Vol.32 No.2

        Dravet syndrome (DS), previously known as severe myoclonic epilepsy of infancy, is a severe epileptic syndrome affecting children, with an incidence of 1/22,000 to 1/49,900 live births annually. Characterized by resistant and prolonged seizures, it often leads to intellectual impairment, with males being twice as susceptible as females. Its clinical features include recurrent seizures triggered by fever initially, but later occurring spontaneously, developmental delays, behavioral issues, and movement disorders. Sodium voltage-gated channel alpha subunit 1 (SCN1A) mutations, observed in about 90% of cases, are usually de novo, while mutations in other genes, such as protocadherin 19 (PCDH19), gamma-aminobutyric acid type A receptor subunit gamma 2 (GABRG2), and sodium voltage-gated channel alpha subunit 2 (SCN2A), can also contribute to the condition. Next-generation sequencing aids in identifying these genetic abnormalities. First-line treatments include anticonvulsant drugs such as valproate, clobazam, stiripentol, topiramate, and bromide. Second-line treatments for drug-resistant DS include stiripentol, fenfluramine, and cannabidiol. This literature review provides a comprehensive update on the genetic underpinnings of DS, highlighting SCN1A's predominant role and the emerging significance of other genes. Moreover, it emphasizes novel therapeutic approaches for drug-resistant forms, showcasing the efficacy of newer drugs such as stiripentol, fenfluramine, and cannabidiol. This synthesis contributes to our understanding of the genetic landscape of DS and informs clinicians about evolving treatment strategies for enhanced patient care.

      • Mobile Agent Security Using ID-Based Agreement Protocol and Binary Serialization

        Hind Idrissi,El Mamoun Souidi,Arnaud Revel 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.5

        Recent days, the systems based on mobile agents have attracted the attention of many researchers in different areas, because of the autonomic and pro-active aspects of the agent, as well as its adaptive and dynamic behaviors in solving complex problems. However, the mobility of these entities needs to be secured against multiple vulnerabilities that present a real obstacle to its wide expansion. When the mobile agent is migrating from one node to another over the network, it is difficult to guarantee that it will be executed safely and correctly on the hosting platform, neither that it will not encounter in its way malicious entities that try to harm it. In this paper, we try to address these security issues by introducing an approach based on cryptographic mechanisms. This approach involves an Identity-Based Key Agreement Protocol to get a session key and ensure authentication, an Advanced Standard Encryption (AES) for the confidentiality of data exchanged, as well as a Binary Serialization to get an easy and persistent portability of the agent across the network.

      • An Industrial Application of Process Mining for Analyzing a Real Order Fulfillment Process of a Shipbuilding industry.

        Hind R’bigui(르비기 힌드),Chiwoon Cho(조지운) 대한산업공학회 2018 대한산업공학회 추계학술대회논문집 Vol.2018 No.11

        Most of the organizations adopt Business Intelligence (BI) tools, and/or Business Process Management (BPM) techniques to enhance their operational performance and gain a competitive advantage in the common market. However, the focus of BI tools is tailored toward data and local decision making rather than end-to-end processes. BPM provides the organization with an end-to-end process understanding, visibility and control while ensuring efficient communication in an organization. BPM systems use process models to analyze the -as-is‖ and -to-be‖ processes. Nevertheless, these models are absolutely disassociated from actual data as they are based on the idealized model of reality rather than real observations. Process mining provides a strong bridge between BI and BPM by combining both process models and event data forming a novel form of process-driven analytics. Process mining analyzes the behavior of companies by extracting process-oriented knowledge from event logs recorded in today`s information systems. This paper describes an industrial application of process mining in a real order fulfillment process of a shipbuilding industry. Event data are extracted from the Shipbuilding Processing Plan Management System and analyzed using process mining techniques. The findings of this application can be used by the company as a foundation to enhance their processes.

      • KCI등재

        Online Learning of English Language Courses via Blackboard at Saudi Universities During Covid-19 : Challenges and Difficulties

        Hind Aljuaid 아시아영어교육학회 2021 The Journal of Asia TEFL Vol.18 No.3

        The outbreak of the coronavirus (Covid-19) pandemic resulted in a temporary interruption of learning activities across the world. In Saudi Arabia, there was a sudden and quick shift from face-to-face learning mode to online learning in efforts to save the educational process from non-continuity in many universities. As a result, the use of various e-learning platforms such as Blackboard applications was key to facilitating the learning of different academic courses including the English language. However, the widespread uptake and implementation of Blackboard learning are still in nascent phases in terms of facilitating English language learning. The objective of this study was to investigate the challenges and difficulties encountered in online learning of English language courses via Blackboard at Saudi universities in the wake of the Covid-19 pandemic. Desktop research was used in this study where secondary resources were collected from various academic databases including Google Scholar, Science Direct, EBSCOhost, and Semantic Scholar. Results showed that the use of Blackboard application in online learning of English courses had some potential advantages including improved interactivity, communication, enhanced language proficiency, discussion forums, improved writing quality, learning flexibility, and enhanced grammar and vocabulary acquisition. However, there were potential challenges including students’ negative attitude, lack of tutor training, poor technical support, difficulty accessing curriculum content or tests, concerns about safety or privacy, slow internet connection, students’ lack of computers, and reliable internet. In conclusion, despite the positive outcomes of using Blackboard in English learning, adequate measures need to be implemented to address identified challenges.

      • KCI등재

        Lightweight, Flexible and High Energies Absorption Property of PbO2 Doped Polymer Blend for Various Renewable Approaches

        Hind Ahmed,Ahmed Hashim 한국전기전자재료학회 2021 Transactions on Electrical and Electronic Material Vol.22 No.3

        This work reports a theoretical study to investigate the electronic structure and optimized geometry for (PVA-PEG-PbO 2 ) (78Atom) by using DFT at B3LYP level with bases set LanL2DZ. The electronic characteristics which contain total energy, cohesive energy, energy of highest occupied molecular orbital (HOMO), energy of lowest unoccupied molecular orbital (LUMO), energy gap, ionization potential, electronic affinity, hardness, softness, electronegativity and electrophilicity. The spectroscopic characteristics (IR, NMR and UV) for (PVA-PEG-PbO 2 ) (78Atom) were investigated at the same large level of theory. The results showed that the functional used in the description of the studied molecular systems has been proved its validity in calculating the geometrical parameters and it is a suitable for studying the geometry optimization and calculating the HOMO and LUMO energies for the organic molecular systems. The final results indicated to the PVA-PEG-PbO 2 structure can be considered as promising materials for various renewable energies approaches.

      • KCI등재

        Structural, Optical and Electronic Properties of Novel (PVA–MgO)/SiC Nanocomposites Films for Humidity Sensors

        Hind Ahmed,Hayder M. Abduljalil,Ahmed Hashim 한국전기전자재료학회 2019 Transactions on Electrical and Electronic Material Vol.20 No.2

        The polyvinyl alcohol (PVA) and magnesium oxide (MgO) nanocomposites and (PVA–MgO) nanocomposites doped by Silicon carbide (SiC) nanoparticles have been fabricated with diff erent concentrations of Silicon carbide and (PVA–MgO) nanocomposites. Both experimental and theoretical studies on structural and optical properties of novel (PVA–MgO–SiC) nanocomposites for humidity sensors were examined for fi rst time with low cost, fl exible and high sensitivity. The (PVA–MgO–SiC) nanocomposites were intended with various concentrations of Silicon carbide nanoparticles. The experimental results of optical properties for (PVA–MgO–SiC) nanocomposites indicated that the absorbance, absorption coeffi cient, extinction coeffi cient, refractive index, imaginary and real dielectric constants and optical conductivity of (PVA–MgO) nanocomposites increase with an increase in Silicon carbide nanoparticles concentrations. The absorbance increases from 0.432 to 2.55 a.u while the transmittance decreases from 0.779 to 0.230 a.u. The energy gap decreases from 4.4 to 2.1 eV. The energy gap theoretically decreases from 7.07 to 3.04 eV. The experimental results of novel (PVA–MgO–SiC) nanocomposites applications showed that (PVA–MgO–SiC) nanocomposites have high sensitivity for relative humidity. The results obtained were compared with theoretic results obtained by using Gaussian 09 program and Gaussian view 5.0.8 program and using density functional theory (DFT) at B3LYP level with 6 - 31G basis set.

      • KCI등재

        Analysis of Structural, Optical and Electronic Properties of Polymeric Nanocomposites/Silicon Carbide for Humidity Sensors

        Hind Ahmed,Hayder M. Abduljalil,Ahmed Hashim 한국전기전자재료학회 2019 Transactions on Electrical and Electronic Material Vol.20 No.3

        The nanocomposites are really promising for industrial, environmental and medical applications. In this work, new types of nanocomposites have been prepared from (PVA–TiO 2 ) nanocomposites doped by SiC nanoparticles for humidity sensor with high sensitivity, fl exible, high corrosion resistance and low cost. The experimental and theoretical studies on structural and optical properties of (PVA–TiO 2 –SiC) nanocomposites have been investigated. The optical microscope and FTIR studies were examined. The optical properties of nanocomposites were examined in wavelength range (220–800) nm. The results showed that the optical absorbance of (PVA–TiO 2 ) nanocomposites increases with increasing of the SiC nanoparticles concentrations. The energy band gap of (PVA–TiO 2 ) nanocomposites decreases while the optical constants increase with the increase in SiC nanoparticles concentrations. The (PVA–TiO 2 –SiC) nanocomposites tested for humidity sensors at relative humidity range (40–80) RH.%. The experimental results showed that the electrical resistance for (PVA–TiO 2 –SiC) nanocomposites decreases with increase in relative humidity. The (PVA–TiO 2 –SiC) nanocomposites have highly sensitivity for relative humidity.

      • KCI등재

        Design of Polymer/Lithium Fluoride New Structure for Renewable and Electronics Applications

        Hind Ahmed,Ahmed Hashim 한국전기전자재료학회 2022 Transactions on Electrical and Electronic Material Vol.23 No.3

        In this work, design of (polystyrene-lithium fluoride) structure and studying the structural, electronic (energy gap, cohesive energy, ionization potential, electron affinity, chemical hardness, chemical softness, electronegativity, electrophilicity and density of states) and spectroscopic (Raman, IR and UV–Vis) properties using density functional theory have been investigated. The structure of PS-LiF is designed at Gauss View 5.0.8, and relax by employing the 6-31G method with the hybrid functional B3LYP-DFT at Gaussian 09 package of programs. The results showed that good relax of the polystyrene and lithium fluoride compound. Finally, the results indicated to the (PS-LiF) structure can be used for various renewable and electronics applications like energy storage, capacitors, transistors, electronic circuits, etc.

      • KCI등재

        Nonlinear FE modelling and parametric study on flexural performance of ECC beams

        Hind M. Kh,Mustafa Özakça,Talha Ekmekyapar 국제구조공학회 2017 Structural Engineering and Mechanics, An Int'l Jou Vol.62 No.1

        Engineered Cementitious Composite (ECC) is a special class of the new generation of high performance fiber reinforced cementitious composites (HPFRCC) featuring high ductility with relatively low fiber content. In this research, the mechanical performance of ECC beams will be investigated with respect to the effect of slag and aggregate size and amount, by employing nonlinear finite element method. The validity of the models was verified with the experimental results of the ECC beams under monotonic loading. Based on the numerical analysis method, nonlinear parametric study was then conducted to evaluate the influence of the ECC aggregate content (AC), ECC compressive strength (fECC), maximum aggregate size (Dmax) and slag amount (ϕ) parameters on the flexural stress, deflection, load and strain of ECC beams. The simulation results indicated that when increase the slag and aggregate size and content no definite trend in flexural strength is observed and the ductility of ECC is negatively influenced by the increase of slag and aggregate size and content. Also, the ECC beams revealed enhancement in terms of flexural stress, strain, and midspan deflection when compared with the reference beam (microsilica MSC), where, the average improvement percentage of the specimens were 61.55%, 725%, and 879%, respectively. These results are quite similar to that of the experimental results, which provides that the finite element model is in accordance with the desirable flexural behaviour of the ECC beams. Furthermore, the proposed models can be used to predict the flexural behaviour of ECC beams with great accuracy.

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