Publications by authors named "Mohamed Kallel"

Diabetic retinopathy (DR) remains a key contributor to eye impairment worldwide, requiring the development of efficient and accurate deep learning models for automated diagnosis. This study presents FastEffNet, a novel framework that leverages transformer-based knowledge distillation (KD) to enhance DR severity classification while reducing computational complexity. The proposed approach employs FastViT-MA26 as the teacher model and EfficientNet-B0 as the student model, striking the ideal mix between accuracy and computational efficiency.

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The increasing demand for renewable energy solutions underscores the importance of photocatalytic water splitting as a sustainable technology. In this study, we present a first-principles investigation of synthesized novel square-octagon haeckelite AB compounds (A = Sb, Be, Cd, In, Mg, Zn; B = Al, S, Se, Te, P), revealing their superior photocatalytic properties. These 3D materials exhibit unique square-octagonal geometries, optimized band gaps (1.

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Global warming and dust pollutants endanger humans and the ecosystem. One very efficient way to reduce emissions of greenhouse gases and dust is to use plant biomass in a greenbelt. This study provides a mathematical model for how dust pollutants and climate change affect plant biomass dynamics.

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Article Synopsis
  • Fuzzy difference equations are gaining traction in various fields like engineering and social science due to their real-life applications.
  • Our study shows that a specific type of fuzzy difference equation has nonnegative solutions, an equilibrium point, and predictable long-term behavior.
  • We transformed the fuzzy equations into standard crisp equations for analysis and evaluated stability, employing advanced techniques to explore the system's dynamics and provided numerical solutions to support our findings.
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Zinc (Zn) plays a crucial role in metabolism in both plant and animal life. Zn deficiency is a worldwide problem that has recently gotten worse. This micronutrient shortage can be largely attributed to eating foods that are poor in zinc.

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Article Synopsis
  • * A case involving a 16-year-old showed elevated inflammatory markers and imaging revealed significant bone damage and infections in the pubic area.
  • * The patient responded well to a 2-month antibiotic treatment, highlighting the importance of early diagnosis and intervention to improve recovery outcomes.
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Background: The purpose of this study was to evaluate the prevalence of foot involvement in psoriatic arthritis and to describe its different clinical and radiological features.

Patients And Methods: We conducted a cross sectional study including 40 patients with psoriatic arthritis over a period of 12 months. Anamnesis, clinical examination of feet, podoscopic examination, X-rays of feet and heels, and ultrasound in B mode and power Doppler mode were done for each patient.

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This study focuses on the characterization and regulation of glycolipid metabolism of polysaccharides derived from biomass of Phyllostachys nigra (Lodd. ex Lindl.) root (PNr).

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Key Clinical Message: Hydatidosis is a parasitic infection caused by the larval form of "Echinococcus granulosis." Bone localization is rare even in endemic areas. We report an unusual case of an extensive hydatidosis of the right sacrum and femur with muscle involvement.

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Cord compression and ischemic non-compressive myelopathy are a complication of spinal Paget's disease (SPD). SPD usually touches a single spine level. We report an unusual case with bilevel spinal cord compression and dysfunction which was medically treated due to resolution of the vascular steal syndrome.

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Article Synopsis
  • The estimation of slowness vectors for infrasound waves is important for determining arrival direction, but topographical changes can introduce biases if sensor heights are ignored.
  • The study introduces an unbiased 3D estimation method that reduces bias but increases variance, and using a priori constraints on the slowness vector can help lower this variance while maintaining acceptable bias levels.
  • Simulations with synthetic and real data demonstrate that this constrained 3D estimator achieves an optimal balance between bias and variance, especially when accurate information about wave speed is available.
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An original micellar electrokinetic chromatography (MEKC) method using in-capillary derivatization with a chiral labeling reagent was developed for the separation of amino acid (AA) derivatives. The potential of (-)-1-(9-fluorenyl)-ethyl chloroformate (FLEC) as in-capillary derivatization agent is described for the first time. Several parameters for in-capillary derivatization and subsequent MEKC separation were systematically investigated using experimental designs.

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A novel dual chiral CE method was developed for the separation of l- and d-amino acids (AAs), using in-capillary derivatization with 9-fluoroenylmethyl chloroformate (FMOC). Firstly, using pre-column derivatization, the enantioseparation of FMOC-AAs was optimized according to the nature of cyclodextrins (CD). A background electrolyte (BGE) composed of 30 mM β-CD, 30 mM octakis(2,3-dihydroxy-6-O-sulfo)-γ-CD (OS-γ-CD), 40 mM tetraborate and 15% isopropanol (IPA) was selected and led to 17 baseline resolved pairs (R(s)=1.

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