Abstract
Endophytic fungi are gaining interest as sources of novel bioactive metabolites.
The study was carried out to screen and isolate endophytic fungus.An endophytic
fungus isolated from root of calyptous plant .The fungus was identified as
Stemphylium radicinum (Meier, Drechs and Eddy)based on morphological
characterization. Fungal secondary metabolites was carried out by ethyl acetate
solvent.The antibacterial activity was tested against five bacterial isolates.
Esherichia coli, Staphylococcus aureus, Proteus vulgaris, Klebsiella pneumonia and
Streptococcus pyogenes by using a disc diffusion technique. The inhibition zones
exhibited by Fungal secondary metabolites were ranged between 22.5-35.5 mm.
Minimum inhibitory concentration MIC test revealed that the extract of S. radicinum
exhibited a minimal inhibition values ranging between 25.0-100 ug/ml against
bacterial strains .A verification of non toxicity of the fungal secondary metabolites
against human blood revealed a negative test. Active compounds of the fungal
secondary metabolites involves Tannins, phenols and amino acid .The antioxidant
activity was analyzed using2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging
assays .The metabolite produced by the fungi could be an alternative source of
antimicrobial against clinical pathogens.
Thermomechanical analysis (TMA) and differential scanning calorimetry (DSC) are used to investigate the effect of molding and annealing of polyester on the behavior of thermal expansion and crystallization since these factors play role in the reprocessing or recycling of the polymer. The dynamic mode of the TMA provides enhanced characterization information about the polyester since it separates the transitions into reversible and irreversible signals, and also reveals the progress of the amorphous regions as the polyester loses strength with the increasing temperature approaching melting. Slow cooling after annealing brings crystallization that may be attributed to molecular chain straightening due to orientation.
The physical, mechanical, electrical and thermal properties containing (Viscosity, curing, adhesion force, Tensile strength, Lap shear strength, Resistively, Electrical conductivity and flammability) of adhesive material that prepared from Nitrocellulose reinforced with graphite particles and aluminum streat. A comparison is made between the properties of adhesive material with varying percentage of graphite powder (0%, 25%, 30%, 35%, 40%) to find out the effect of reinforcement on the adhesive material. The ability of property an electrical was studied through the measurement of conductivity a function of temperature varying. The results of comparison have clearly shown that the increasing of conten
... Show MoreThis paper develops the work of Mary Florence et.al. on centralizer of semiprime semirings and presents reverse centralizer of semirings with several propositions and lemmas. Also introduces the notion of dependent element and free actions on semirings with some results of free action of centralizer and reverse centralizer on semiprime semirings and some another mappings.
Heterocyclic systems, which are essential in medicinal chemistry due to their promising cytotoxic activity, are one of the most important families of organic molecules found in nature or produced in the laboratory. As a result of coupling N-(4-nitrophenyl)-3-oxo-butanamide (3) using thiourea, indole-3-carboxaldehyde, or piperonal, the pyrimidine derivatives (5a and 5b) were produced. Furthermore, pyrimidine 9 was synthesized by reacting thiophene-2-carboxaldehyde with ethyl cyanoacetate and urea with potassium carbonate as a catalyst. The chalcones 11a and 11b were synthesized by reacting equal molar quantities of 1-naphthaldehy
... Show MoreDeep learning (DL) plays a significant role in several tasks, especially classification and prediction. Classification tasks can be efficiently achieved via convolutional neural networks (CNN) with a huge dataset, while recurrent neural networks (RNN) can perform prediction tasks due to their ability to remember time series data. In this paper, three models have been proposed to certify the evaluation track for classification and prediction tasks associated with four datasets (two for each task). These models are CNN and RNN, which include two models (Long Short Term Memory (LSTM)) and GRU (Gated Recurrent Unit). Each model is employed to work consequently over the two mentioned tasks to draw a road map of deep learning mod
... Show MoreConcentrations of P137PCs were measured in 40 samples that have been selected from the surface soil in cities of Ramadi, Fallujah, Heet and surrounding areas. The activity of P137PCs in seven dust storms that hit the area western of city of Ramadi within the period 1/3/2013-1/10/2013 was measured also. The concentration in soil ranges between (below detection level-14.5) Bq.kgP-1P, while it ranges between (7.5-8.8) Bq/kg in the dust storms. The dose due to exposure to the cesium in surface soil was estimated to be ranged between (0.4-7.7) *10P-2P mSv.yP-1P while the effective doses due to inhalation of resuspended P137PCs was about 1.61*10P-8P and the doses caused by inhalation of P137PCs in dust storms is ranging between (8.13-9.54)*10P
... Show MoreThe environment in Mosul city is very rich, containing a wide variety of microorganisms which have not been recognised for a long time. Five new fungal genes were identified and registered for the first time in the gene bank. These included Fusarium falciforme 2020-06-MIK-F1 genes for 5.8S rRNA with Accession no. LC555741, Nectriaceae sp. 2020-06-MIK-F2 genes for ITS1 with Accession no. LC555742, Trichoderma asperellum MIK3 genes for 5.8S rRNA with Accession no. LC575020, Penecillum sp. MIK4 genes for 5.8S rRNA with Accession no. LC575021, and Neurospora crassa MIK5 genes for 5.8S rRNA with Accession no. LC575022. These fungal genes were isolated from wastewater of Khosr river in Mosul city/ Iraq, whi
... Show MoreTin oxide (Sn) nanoparticles were prepared by pulsed laser ablation (PLA) method at different laser energies (400-700mJ). (UV, XRD, AFM, SEM, EDS) methods were employed to determine the properties of nanomaterials. The optical properties showed that the energy gap decreased with increasing laser power; the structural properties showed the relationship between density and angle; Miller's coefficients for net angles were determined and the morphology properties showed the element's surface shape and surface roughness. Also, Tin oxide nanoparticles with added to Staphylococcus aureus bacteria isolated from the ear and cultured by striking method on nutrient agar to know the effect of tin oxide nanoparticles on the growth o
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