Background and Aim: Ophiotaenia species are globally distributed proteocephalidean cestodes that commonly parasitize amphibians and reptiles. Despite the ecological importance of frogs in controlling insect populations and maintaining foodweb stability, data on cestode infections in Egyptian amphibians remain scarce. This study provides the first documentation of Ophiotaenia sp. infecting Amietophrynus kassasii in Egypt and evaluating the in vitro anticestodal activity of Sinularia sp. extract against adult tapeworms.

Innovative nanodrug are in high demand for the novel antimicrobial agents development that have Sustained release dosage in gastrointestinal simulation. Therefore, this study looked at the effect of mixing selenium nanoparticles (SeNPs) and their composites with cefepime, embedded in polyvinyl alcohol (PVA) with polyhydroxybutyrate (PHB) matrices for controlled drug release to overcome pathogenic bacteria. These results showed that cefepime (Cef) released more slowly at pH 2 than at pH 7.4. Zero-order, first-order, Higuchi, Hixon–Crowell, and Korsmeyer–Peppas equations were used to study the drug release mechanism at various pH values (2, 7.4). According to zeta potential analysis, the composite exhibited good stability, indicating to strong structure. The nanocomposite possesses an encouraging antimicrobial potential against pathogenic strains S. aureus, E. coli, and P. aeruginosa, Kb. pneumonia strain. Moreover, SeNPs and PHB/PVA/SeNPs/Cef nanocomposites recorded excellent antioxidant activity (87.35% and 79.9%). The total phenolic compounds for SeNPs and PHB/PVA/SeNPs/Cef nanocomposite are 875 mg gallic acid/g and 1160 mg gallic acid/g in 200 µg/mL of SeNPs that activated their antioxidant properties. MTT analysis was showed that PHB/PVA/SeNPs/Cef has no cytotoxic effect on normal HEK- 293 cells and RPE-1 normal cells at even 50 µg/mL of SeNPs for 24 h. Moreover, the coagulation cascade was unaffected by the nanocomposites at the high concentration. Also, there was no evidence of haemolysis when the nanocomposite interacted with the constituents. The release test exhibited controlled drug release of Cef from composite, indicating its potential for use in drug delivery systems.

Understanding the geological and structural controls on mineralization is globally important for sustainable resource exploration and management. This study investigates the Gardan Ophiolitic Mélange (GOM) and the Shait Granite Complex (SGC) in the Wadi Shait area, Eastern Desert, Egypt, using an integrated, multidisciplinary approach. The GOM comprises basal metasediments, metabasalt slices, and schistose hornblende-bearing metagabbros, representing a tectonically imbricated, low-grade metamorphosed unit. Sentinel-2 satellite imagery, analysed using false colour composites (FCCs), principal component analysis (PCA), band ratios, and textural correlation, effectively discriminated lithological units and structural patterns. These results were validated and extended using high-resolution aeromagnetic data. Interpretation of aeromagnetic, employing advanced edge-detection filters such as the improved horizontal tilt derivative (impTDX) and STDR, together with classical techniques including the first vertical derivative (FVD), horizontal gradient magnitude (HGM), and tilt derivative (TDR), as well as three-dimensional (3D) Euler deconvolution and 3D magnetic modeling, revealed a network of NW–SE, NE–SW, N–S, and E–W trending faults at depths of 124–782 m. Within the SGC, NW-trending shear zones indicate late orogenic extensional exhumation associated with Najd fault-related tectonics. These structures govern the distribution of gold and radioactive (K, U, Th) mineralization. The results highlight the effectiveness of integrating remote sensing and aeromagnetic techniques for resolving lithological complexity, subsurface architecture, and mineral potential in structurally complex terranes worldwide.

Airborne geophysical and satellite-based remote sensing datasets are widely recognized as effective tools for mineral exploration, particularly for mapping structural and lithological variations in complex geological terranes. In this study, aeromagnetic data were integrated with Sentinel-2 multispectral imagery and ALOS PALSAR radar data to investigate the surface and subsurface geology of the Dungash region. The aeromagnetic dataset was processed to delineate magnetic lineaments, identify subsurface structural boundaries, and estimate basement depth variations. Remote sensing analyses highlighted major lithological units and surface structural trends, enabling a refined understanding of geological relationships. A key contribution of this work is the application of the Hyperbolic Tangent Function (HTF) as a novel edge detection technique on both synthetic and observed magnetic data. Compared to conventional derivative-based filters, the HTF provided clearer structural boundaries with reduced noise sensitivity and fewer false anomalies, resulting in more reliable interpretation. Three-dimensional magnetic modeling, supported by 3D Euler deconvolution and tilt-depth estimates, suggested that the basement occurs at depths ranging from approximately 581 to 946 m. The dominant tectonic trends identified include NNW-SSE, NNE-SSW, N-S, NE-SW, NW–SE, and E-W, corresponding to major regional tectonic systems such as the Red Sea, Gulf of Suez, and Gulf of Aqaba trends. Remote sensing textural measures effectively distinguished heterogeneous Precambrian basement rocks from more homogeneous sedimentary units, while band ratio composites highlighted lithological contrasts and unconformity surfaces. The integrated approach significantly enhances geological interpretation and provides a robust framework for guiding mineral exploration in the Dungash region.

The paper is devoted to bringing hypergeometric functions (HFs) within the purview of Lie theory by constructing a dynamical symmetry algebra of Humbert function $\Psi_{1}$. Multiplier representation theory of Lie groups and algebras is then used to obtain a generating function for basic analogue of Humbert function $\Psi_{1}$