Publications by authors named "Zakaria Kasmi"

Congenital neutropenia (CoN) is a heterogeneous group of inborn errors of immunity (IEI) characterized by recurrent infections and early onset of neutropenia (NP). This study aimed to investigate the demographic and clinical data of children with CoN and idiopathic neutropenia (IN) in Morocco. We performed a retrospective study of patients with CoN and analyzed the clinical and laboratory findings of patients with CoN and IN diagnosed between 1999 and 2018 in a clinical immunology unit of a large pediatric hospital.

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Glycogen Storage Disease Type Ib (GSD-Ib) is a rare autosomal recessive metabolic disorder caused by mutations in SLC37A4, leading to a deficiency in glucose-6-phosphate translocase. This disorder is characterized by impaired glycogenolysis and gluconeogenesis, resulting in clinical and metabolic manifestations. We report a three-month-old Moroccan female patient presenting with doll-like facies, hepatomegaly, dysmorphic features, and developmental delays.

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Autoimmune cytopenias are defined by autoantibodies' immune destruction of one or more blood elements. Most often it is autoimmune hemolytic anemia or immune thrombocytopenia or both that define Evans syndrome. It may be secondary to infection or to underlying pathology such as systemic autoimmune disease or primary immunodeficiency, especially when it becomes chronic over several years.

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In the era of genomics, orientation in the face of hereditary neutropenia still requires, first and foremost, a good clinical and cytological analysis. The thirty responsible genes now explain 60% of congenital neutropenia. These are rare since they are only found in 1‰ of all congenital neutropenia, estimated at 1% of the population.

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We developped an open source library called RcdMathLib for solving multivariate linear and nonlinear systems. RcdMathLib supports on-the-fly computing on low-cost and resource-constrained devices, e.g.

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In recent years, a variety of real-time applications benefit from services provided by localization systems due to the advent of sensing and communication technologies. Since the Global Navigation Satellite System (GNSS) enables localization only outside buildings, applications for indoor positioning and navigation use alternative technologies. Ultra Wide Band Signals (UWB), Wireless Local Area Network (WLAN), ultrasonic or infrared are common examples.

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A platform architecture for positioning systems is essential for the realization of a flexible localization system, which interacts with other systems and supports various positioning technologies and algorithms. The decentralized processing of a position enables pushing the application-level knowledge into a mobile station and avoids the communication with a central unit such as a server or a base station. In addition, the calculation of the position on low-cost and resource-constrained devices presents a challenge due to the limited computing, storage capacity, as well as power supply.

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Decentralized magnetic indoor localization is a sophisticated method for processing sampled magnetic data directly on a mobile station (MS), thereby decreasing or even avoiding the need for communication with the base station. In contrast to central-oriented positioning systems, which transmit raw data to a base station, decentralized indoor localization pushes application-level knowledge into the MS. A decentralized position solution has thus a strong feasibility to increase energy efficiency and to prolong the lifetime of the MS.

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