Activity test of the inhibitors purified from barley and broad beans crop proved the inhibition activity against 6 types of rots Pencillium ssp and Aspergellusflavus and Aspergillus niger and Fusarium solani and Fusarium semitectum and Mucor with three concentrations 0.1 and 0.2 and 0.3 mg/ml, where the inhibitor purified from the second peak of broad beans proved that it had a higher inhibition activity against the growth of test rots which were 53.75 and 62.5 and 78.5 and 76.25 and 84 and 18.8% respectively, at 0.3 mg/ ml followed by the first peak of the inhibitor purified from broad beans the inhibition activity were 43.75 and 50 and 62.96 and 75 and 80 and 12.5 then the inhibitor purified from barley in which the inhibition activity

Background:The technology of nanoparticles has been expanded to many aspects of modern life. Titanium dioxide nanoparticles were of many nanomaterials utilized in biomedical applications. The interactions between nanoparticles and proteins are believed to be the base for the biological effect of the nanoparticles. The oxidation reaction of many substances is catalyzed by oxidizing enzymes called peroxidases. The activity of salivary peroxidase is elevated with periodontal diseases. the aim ofthis study is to examine the action of titanium dioxide nanoparticles on salivary peroxidase activity.Material and method75 participants were enrolled in this study—Periodontitis group with 44 participants and the non-periodontitis group with 31 pa

This is the first time that the mechanical activity of Hedgehog i leal

smooth muscle is a regular spontaneous contraction to be reported. It was  found  that  the different concent1·ations of  papaverine exerted different dcgces of inhibition on ileal smooth muscle. The minimum

effective  dose  was  (0.05)  mM.  Different  concentration  of acetylcholine and KCI caused tonic contraction in this kind of smooth muscle. High concentration of papaverine caused inst<mt relaxation in acetylcholine or Kcl- excited muscle. The inhibitory effect of the drug resul ted from the reduction of the available  free calcium and caused relaxation.

Background: Cherry extract has a wide range of biological activity. In the present investigation, two oral doses 0.04&0.08 mg/kg/day of cherry stick (ethanol extract) in albino male mice resulted in a significant decrease in concentration of serum total cholesterol concentration, triglyceride and total protein, albumin and globulin.
Objective: we investigated the impact of biological activities of cherry stick extract on serum cholesterol, triglyceride, total protein, albumin and globulin in white albino male mice.
Design: This study include three groups of white albino male mice. The first group (G1) was a control group comprised of 5 animals. The second group (G2) consisted of 5 animals treated with 1

The present research included synthesis of silver nanoparticle from(1*10-3,1*10-4 and1*10-5) M aqueous AgNO3 solution through the extract of M.parviflora reducing agent. In the process of synthesizing silver nanoparticles we detected a rapid reduction of silver ions leading to the formation of stable crystalline silver nanoparticles in the solution.

Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an ob

Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an object under de

Background: proteins, glycoproteins and fructose as parameters used to assess infertility in men.
Objective: To determine and correlate serum and seminal plasma of total proteins, glycoproteins and fructose with infertility in men.
Patients and Methods: The study was performed on 154 subjects; 109 infertile men (oligospermic and azoospermic) and 45 normal volunteers (normospermic men). All sera and seminal plasma were submitted for total proteins, glycoproteins and fructose levels measurment.
Results: No significant difference was noted in serum and seminal plasma of total proteins in oligospermic and azoospermic and that of normospermic men (P>0.05) compared to normospermic men. Statistical sign

The mucilage from the seeds of Lallemantia royleana family Labiatae was extracted and subjected to preformulation study for evaluation of its suitability for use as suspending agent. Furosemide suspensions were prepared using (1.5% w/v) of the extracted Lallemantia royleana mucilage, (1.5% w/v) chitosan and (0.35% w/v) xanthan gum. The mucilage was white in color and the average yield of dried mucilage obtained from L.royleana nutlets was 14 % w/w of the seeds used. It is sparingly soluble in water but swells in contact with it, giving a highly viscous solution. It is slightly acidic to neutral. It was found that the extracted natural mucilage of Lallemantia royleana exhibited a higher viscosity profil

Odontogenic cysts and tumors often form hard and soft structures that resemble odontogenesis. It is well known that amyloid is produced in Pindborg tumors; however, it is still debatable whether it is also formed in other odontogenic tumors and cysts. This study aimed to detect the presence of amyloid in different odontogenic cysts and tumors in correlation to matrix proteins secreted during enamel formation; namely amelogenin and odontogenic ameloblast‐associated protein.