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The present study aims to prepare a composite via pyrolysis, based on sodium alginate (SA) and a natural clay collected from the eastern region of Morocco, specifically the OUJDA area (C.O.R), for use in the disposal process of emerging pharmaceuticals. The strategy of rapid microwave heating followed by nitrogen calcination at 500 °C was successfully applied to produce the pyrolyzed carbonaceous materials. The removal of paracetamol (PCT) by adsorption on the carbonaceous clay (ca-C.O.R) composite was investigated to determine the effect of operating parameters (initial contaminant concentration, contact time, pH, and temperature) on the efficiency of PCT removal. The nanocomposite was analyzed using various techniques, including the nitrogen gas adsorption–desorption isothermal curve, X-ray diffraction, scanning electron microscopy, and Fourier transform infrared spectroscopy. Three models were used to describe the kinetic adsorption, and it was found that the experimental kinetic data fit well with a pseudo-second-order kinetic model with a coefficient of determination R2 close to one, a nonlinear chi-square value close to zero, and a reduced root mean square error RMSE (R2 → 1, X2 → 0 and lower RMSE). The adsorption was best described by the Sips isotherm. The ca-C.O.R composite achieved a PCT removal efficiency of 91% and a maximum adsorption capacity of 122 mg·g−1 improving on the performance of previous work. Furthermore, the variation in enthalpy (∆H°), Gibbs free energy (∆G°), and entropy (∆S°) indicated that the adsorption is exothermic in nature. The composite has shown promising efficiency for the adsorption of PCT as a model of emergent pollutant from aqueous solutions, making it a viable option for industrial wastewater treatment. Using Density Functional Theory (DFT) along with the 6-31G (d) basis set, the geometric structure of the molecule was determined, and the properties were estimated by analyzing its boundary molecular orbitals. The adsorption energy of PCT on MMT and ca-C.O.R studied using the Monte Carlo (MC) simulation method was −120.3 and −292.5 (kcal·mol−1), respectively, which shows the potential of the two adsorbents for the emerging product.

Despite the prevalence of fucosylated IgG in plasma, specific IgGs with low core fucosylation sporadically emerge in response to virus infections and blood cell alloantigens. This low fucosylation of IgG is implicated in the pathogenesis of SARS-CoV-2 and dengue infections. In COVID-19, the presence of IgGs with low core fucosylation (afucosylated IgGs) targeting spike protein predicts disease progression to a severe form and actively mediates this progression. This study reveals that SARS-CoV-2 infection of megakaryocytes promotes the generation of pathogenic afucosylated anti-spike IgGs, leading to outcomes, such as pulmonary vascular thrombosis, acute lung injury, and mortality in FcγRIIa-transgenic mice. Platelets from mice injected with virus-infected human megakaryocytes express significant activation biomarkers, indicating a direct link between the immune response and platelet activation. Mice injected with virus-infected human megakaryocytes demonstrate an elevated rate of thrombus formation induced by FeCl3 (4%) and a reduction in bleeding time, emphasizing the intricate interplay of viral infection, immune response, and hemostatic complications. Treatment with inhibitors targeting FcγRIIa, serotonin, or complement anaphylatoxins of mice injected with spike-expressing MKs successfully prevents observed platelet activation, thrombus formation, and bleeding abnormalities, offering potential therapeutic strategies for managing severe outcomes associated with afucosylated IgGs in COVID-19 and related disorders.

The most efficient and beneficial mechanism to the feature of extracting data from an image, has been the Convolutional Neural Network (CNN) and it is used in many fields (Optical character recognition, image classification, object recognition and Facial recognition etc.). In this papier, we studied the character classification problems, using pre-trained models based on Convolutional Neural Network (CNN), and how the performance can change the outcome of dataset that is given. For that, we have used five pre-trained models’ such as VGG16/19, ResNet, Xception et MobileNet. The experiment shows that Xception had the best performance rate compared to other models for all datasets, VGG16/19 performance rate are variants depend on dataset. However, Experiments shows that ResNet achieve the worst accuracy rate compared to other methods.

Despite the prevalence of fucosylated IgG in plasma, specific IgGs with low core fucosylation sporadically emerge in response to virus infections and blood cell alloantigens. This low fucosylation of IgG is implicated in the pathogenesis of SARS-CoV-2 and dengue infections. In COVID-19, the presence of IgGs with low core fucosylation (afucosylated IgGs) targeting spike protein predicts disease progression to a severe form and actively mediates this progression. This study reveals that SARS-CoV-2 infection of megakaryocytes promotes the generation of pathogenic afucosylated anti-spike IgGs, leading to outcomes, such as pulmonary vascular thrombosis, acute lung injury, and mortality in FcγRIIa-transgenic mice. Platelets from mice injected with virus-infected human megakaryocytes express significant activation biomarkers, indicating a direct link between the immune response and platelet activation. Mice injected with virus-infected human megakaryocytes demonstrate an elevated rate of thrombus formation induced by FeCl3 (4%) and a reduction in bleeding time, emphasizing the intricate interplay of viral infection, immune response, and hemostatic complications. Treatment with inhibitors targeting FcγRIIa, serotonin, or complement anaphylatoxins of mice injected with spike-expressing MKs successfully prevents observed platelet activation, thrombus formation, and bleeding abnormalities, offering potential therapeutic strategies for managing severe outcomes associated with afucosylated IgGs in COVID-19 and related disorders.

During the beneficiation stage, phosphate ore processing plants generate a huge quantity of phosphate sludge (PS), consisting of washing and flotation residues. This waste has a number of negative effects, such as limiting the availability of fertile land, altering the landscape and creating visually unattractive areas. Effective management of this waste is a major challenge for the phosphate industry. This study addresses the crucial problem of PS management by innovatively producing carbonated hydroxyapatite (HAp) nanostructures using the dissolution–precipitation method. Importantly, this method is applied for the first time to Moroccan phosphate sludge. The synthesized HAp is extensively characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), and Fourier transform infrared (FTIR), providing in-depth insights into its properties. The investigation focuses on the impact of pH variation on crystallinity, morphology and thermal stability both with and without heat treatment at 900 °C. PLS analysis and Minitab software were used to optimize calcination temperature and pH conditions. About this analysis, ideal condition was pH = 11 and a temperature of 900 °C to synthesis optimal HAp with a crystallinity (Xc%) of 71.06% and a crystal size (Xs, nm) of 46.9. However, FTIR spectra revealed that all obtained pigments were of B type carbonated hydroxyapatites. According to SEM–EDS analysis, the as-prepared HAp nanostructure was found to be pure carbonated and similar in chemical composition to human bone with trace elements such as Na+, Mg2+, Si2+, Al3+, and F−. Overall, the use of phosphate sludge for HAp biomaterial synthesis provides a cost-effective, environmentally friendly approach and circular economy perspective to produce a valuable nanostructure for eventual biomedical and environmental applications.

Geopolymers produced with metakaolin (MK) and thermally untreated phosphate sludge (PS) are beneficial and environmentally advantageous materials, but their fragility limits its applications. The present research aims to evaluate the influence of polypropylene fibers PPF inclusion in MK/PS based geopolymers in view of overcoming the brittleness of these materials. The geopolymer matrix was prepared by mixing the thermally untreated phosphate sludge with the metakaolin in a proportion of 50% by weight, then short polypropylene fibers (PPFs) as reinforcement material were incorporated in amounts of 0.25, 0.50, 1, and 1.5%. Composite performances were assessed in the fresh state through flow measurement, and in the hardened state through the properties of the composites under bending and compressive loading conditions. In addition, the fiber/matrix interfacial contact area was examined using scanning electron microscopy (SEM). The outcomes demonstrate that the PPF incorporation of up to 1.5% by weight into MK/PS based geopolymer paste significantly improves the flexural strength with an increase of 41% (6.41 and 9.62 MPa), as well as leads to a slight decrease of compressive strength and density. The findings of the current research reveals also that MK/PS based geopolymers can achieve a high ductility with an adequate reinforcement. Graphical Abstract

Granular cell tumors (GCT) are uncommon tumors. They mainly occur at the level of the skin and the subcutaneous tissues. Gastric tumor is rare. We here report a new case of gastric Abrikossoff tumor as well as a brief literature review. This study aims to examine the clinical, endoscopic and therapeutic features of this rare disease.