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Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks
Synergistic effects of SiO2 and Au nanostructures for enhanced broadband light absorption in perovskite solar cells
Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data
Vibrational effects on polarizability: insights from normal mode analysis
Exploring the relationship between fat mass index and metabolic syndrome among cancer patients in the U.S: An NHANES analysis
Deep learning prediction of mammographic breast density using screening data
Serological data indicate a widespread presence of rabbit haemorrhagic disease in rabbit farms in Algeria
Modeling and analysis of filtration processes in oil reservoirs of small fields by reserves
Detection of Mycobacteria in Arabian camels and antimycobacterial potential of Moringa oleifera
Abstract The World Health Organization gave great attention to Mycobacterium tuberculosis, especially its zoonotic impact. Dromedary camels in Arabian countries are of great importance, as well as awareness of production and health. Little was known about the occurrence of M. tuberculosis among Arabian camels. Out of 88 samples were collected from necropsied male camels aged 5–6.5 years after the slaughter process resident in Cairo abattoir. Isolation of Mycobacteria was achieved on Middle Brook 7H10 agar with special supplements, and then the suspected colonies were assessed by their specific aspects. Lungs and lymph nodes were processed for histopathology. Molecular characterization was carried out by both conventional amplification (Mycobacterium bovis mpb70, M. tuberculosis- Pan Mycobacterium 16S rRNA) tracked by sanger sequencing; and bacterial 16S rRNA V3–V4 hypervariable region was amplified then it was followed by Mi-seq Ilumina. Moringa oliefera’s oil was analyzed by GC–MS. The antimycobacterial potential of M. oliefera was conducted by In vitro tetrazolium microplate assay (TEMA). In silico docking mode of action and prediction were studied. Mycobacterium was isolated from 9.4% (3/32) of the lung samples and 2.4% (1/41) of the recovered lymph node samples. The isolated strains had ideal culture characteristics of Mycobacterium. Sanger sequencing identified the M. tuberculosis variant bovis DRC-EG-CAMEL PQ036932. Mi-seq Illumina revealed abundant sequence readings belonging to ancestral Actinobacteria and Micromonosporaceae. In vitro testing showed that the Moringa oleifera methanol leaf extract had antimicrobial activity with MIC ranging from 7.8 to 32 µg/ml, and the seed oil showed inhibitory effects at 50% (v/v) (P value < 0.05). In silico docking of ferulic acid against M. tuberculosis variant bovis ribosomal protein S1 showed an affinity score of − 5.95 kcal/mol with one hydrogen bond. While squalene lipoprotein LprF exhibited a professional affinity score of − 6.11 kcal/mol with seventeen hydrophobic π-interactions. Mycobacterium tuberculosis variant bovis is measured to prevail in the Arabian camels. However, this study provided a detailed examination of Mycobacterium in camels, offering practical solutions to combat this pathogen and mitigate the effects of infection or zoonotic impacts on other animals and humans. Sanger sequencing is more recommended for Mycobacterium identification. Moringa oliefera’s potential anti-mycobacterial effect through either leaves or oil might be achieved for humans and animals as a different strategy for medicinal plants’ role. It might be a new insight into the struggle and the adverse effects of tuberculosis. In the upcoming research, therapeutic compounds could be separated from M. oliefera.
Newly-diagnosed rheumatoid arthritis patients have elevated levels of plasma extracellular vesicles with protein cargo altered towards inflammatory processes
The signature based on interleukin family and receptors identified IL19 and IL20RA in promoting nephroblastoma progression through STAT3 pathway
Foraging resource partitioning between Indian native Apis florea and Apis cerana: unveiling entomological signatures in honey through honey DNA metabarcoding
Cubical and spherical directional array-based particle source detection with poisson statistics
Abstract This paper investigates detecting a far-field dynamic particle source using cubical and spherical directional arrays. First, we present a discussion on likelihood ratio test (LRT), generalized LRT (GLRT) and truncated mean test (TMT) in case of a cubical array, considering scenarios with stationary and moving targets. Further, two underlying sub-cases are considered, including the sets of correlated and independent and identically distributed observations. Next, we consider the case of a spherical array where LRT, GLRT and TMT are discussed. In all cases, we present an analysis in terms of probabilities of detection and false-alarm for the associated hypothesis testing problems. Through simulations, we show that TMT outperforms the other existing tests in the literature, namely the mean difference test, the source intensity test, and the GLRT.
Exome sequencing of a Portuguese cohort of early-onset Alzheimer’s disease implicates the X-linked lysosomal gene GLA
Research on efficient relief logistics planning under massive natural disasters
Assessing microplastic pollution vulnerability in a protected coastal lagoon in the Mediterranean Coast of Egypt using GIS modeling
Abstract Lake Burullus is a coastal wetland and protected area on the Mediterranean coast of Egypt. Despite the importance of this lake to the livelihood of millions of Egyptians, intensive anthropogenic activities and drainage water input have impacted its water quality. The current work aimed to evaluate the distribution and composition of microplastics (MPs) in Lake Burullus and analyze the impact of non-point pollution sources on their distribution and fate. The results showed that the average concentration of MPs in the open water was significantly lower (165.0 MPs/m3) than that near the drains (835.6 MPs/m3). The thermal analysis indicated the presence of eight thermoplastic polymers, originating from diffuse sources mainly via land-based activities. Moreover, a model was generated using ArcGIS 10.5 to assess the vulnerability of surface water to pollution from non-point sources. This model incorporated factors such as proximity to roads, waterways, land use, and urban areas, in addition to salinity and total suspended solids (TSS). Comprehensive maps were generated to visually illustrate the areas expected to be affected by MPs pollution. The results showed that waterways played an important role in in the transport of MPs to Lake Burullus. In addition, urban areas were identified as pollution hotspots, indicating the impact of land-use changes in urban areas. Salinity and TSS were also identified as important factors affecting the fate of MPs. Implementing strong measures to control land pollution in urban areas and managing wastewater inputs is highly recommended to effectively mitigate the impact of MPs on the ecosystem of Lake Burullus.