Wyniki wyszukiwania - Biblioteka Nauki

1

Wybór optymalnej struktury napędu elektrycznego

100%

Kolano J. , Horodecki A. , Ali Z.

Maszyny Elektryczne : zeszyty problemowe

|

1999

|

tom Nr 58

47-48

2

Antioxidant, anticancer and hepatoprotective activities of Cotoneaster horizontalis Decne extract as well as a-tocopherol and amygdalin production from in vitro culture

75%

Sokkar N. , El-Gindi O. , Sayed S. , Mohamed S. , Ali Z. , Alfishawy I.

Acta Physiologiae Plantarum

|

2013

|

tom 35

|

nr 08

EN

The phytochemical analysis of the ethanolic extract of branches of Cotoneaster horizontalis, Decne revealed the presence of: β-carotene, ascorbic acid and less amounts of α-tocopherol and amygdalin (vitamin B17) in proportions of: 2,500, 70, 0.093, 0.334 mg 100 g-1, respectively. Acute oral toxicity test revealed its safety profile. In vitro study revealed its good 2, 2-diphenyl-1- picrylhydrazyl radical scavenging and anticancer activities. Invivo study, simultaneous administration of this extract at a dose of 100 or 200 mg kg-1 body weight for 4 weeks, exhibited a significant protection in a dose-dependant manner against hepatotoxicity induced by repeated dose of acetaminophen (1 g kg-1 body weight day-1, p.o.) by preserving the liver function parameters, hepatic redox state and serum lipid profile near the healthy levels. Consequently, in vitro culture was carried out on full or half strength of Murashige and Skoog medium supplemented with different concentrations of benzyl amino purine or kinetin provided shootlets production; different concentrations of 2,4-dichlorophenoxy acetic acid and naphthalene acetic acid showed an increase of callus. Determination of a-tocopherol and amygdalin in different shootlets and callus extracts showed a pronounced increases up to 30.62 and 3.69 mg 100 g-1 in shootlet extract, respectively as well as 26.61 and 12.71 mg 100 g-1 in callus extract, respectively, as compared with those of the mother plant (0.76 and 0.11 mg 100 g-1 extract, respectively).

3

Assessing the toxic potential of insecticide and indigenous botanical extract against the stored grain pest Tribolium castaneum (Coleoptera: Tenebrionidae)

63%

Zuhra B. , Ahmad K. , Ali S. , Hussain A. , Nafees M. A. , Ali S. , Ali M. , Hussain S. , Ali Z.

Polish Journal of Environmental Studies

|

2018

|

tom 27

|

nr 5

EN

The current investigation was undertaken to assess the toxic potential of synthetic insecticides (K.Othrin and bio-max) and botanical extracts (Mentha royleana L. and Artemisia absinthium L.) against Tribolium castaneum in the laboratory. Different concentrations of insecticides and botanical extracts were used following complete randomized block design. The results indicated that the toxic effects were directly proportional to concentrations of insecticide and botanical extracts. Higher concentrations had more resilient toxicity than lower concentrations. Among the tested insecticides, Biomax (Chlorpyrifos) showed >90% and K-Othrin (Deltamethrin) <80% mean toxic effect at 2% concentrations. In the botanical extract, Mentha royleana toxicity at 5% concentration is > 90% as compared to Artemisia absinthium against T. Castaneum. The results could be helpful in designing an effective management plan for the control of T. castaneum.

4

Automatic voice pathology detection and classification using vocal tract area irregularity

63%

Muhammad G. , Altuwaijri G. , Alsulaiman M. , Ali Z. , Mesallam T. A. , Farahat M. , Malki K. H. , Al-nasheri A.

Biocybernetics and Biomedical Engineering

|

2016

|

tom Vol. 36, no. 2

309--317

EN

In this paper, an automatic voice pathology detection (VPD) system based on voice production theory is developed. More specifically, features are extracted from vocal tract area, which is connected to the glottis. Voice pathology is related to a vocal fold problem, and hence the vocal tract area which is connected to vocal folds or glottis should exhibit irregular patterns over frames in case of a sustained vowel for a pathological voice. This irregular pattern is quantified in the form of different moments across the frames to distinguish between normal and pathological voices. The proposed VPD system is evaluated on the Massachusetts Eye and Ear Infirmary (MEEI) database and Saarbrucken Voice Database (SVD) with sustained vowel samples. Vocal tract irregularity features and support vector machine classifier are used in the proposed system. The proposed system achieves 99.22% ± 0.01 accuracy on the MEEI database and 94.7% ± 0.21 accuracy on the SVD. The results indicate that vocal tract irregularity measures can be used effectively in automatic voice pathology detection.