66 research outputs found
Isolation, molecular identification and under lab evaluation of the entomopathogenic fungi M. anisopliae and B. bassiana against the Red Palm Weevil R. ferrugineus in Gaza Strip
Plant diseases generate challenging problems in commercial, agriculture and pose real economic threats to both conventional and organic farming systems. The red palm weevil (Rhynchophorus ferrugineus) (RPW) is one of the most destructive pests of palms in the world. Nowadays, control methods revolve around treatments based on chemicals, biotechnological systems using semi-chemicals or the development of the sterile insect technique (hardly sustainable at this time) and biological control. Biological control as the use of natural microorganisms, extracted products from microorganisms or genetically improved to resist or eliminate of pathogens. Our aim was to evaluate the entomopathogenicity of indigenous Beauveria bassiana and Metarhizium anisopliae obtained in Gaza strip against larvae and adults of R. ferrugineus in order to identify indigenous strains potentially suitable for Red Palm Weevil biological control. B. bassiana & M. anisopliae were isolated from larvae and adult dead of RPW from different position of Gaza strip. Morphological analysis of the isolated fungi and molecular identification was determined using PCR technique. Also, the efficiency of the isolated fungi were evaluated under lab conditions and optimized as a biological agent. On the anther hand, the ability of treated RPW male to infect females is examined and calculated using Abbott's formula. Our results showed that the B. bassiana and M. anisopliae exhibited a good biological control agent against larvae and adults of RPW. The pathogenicity of the two most virulent isolates and the toxicity assay on larvae showed a highest mortality percentage nearly to 100
Prevalence of intestinal parasitic infections among university female students, Gaza, Palestine
The intestinal parasites are still endemic among children, women, and men in Gaza Strip. To the best of our knowledge, this is the first study of intestinal parasites among young female students of Islamic University of Gaza to report the existence and prevalence of intestinal parasites. A total of 305 stool samples were collected from female students in all faculties and were examined by wet mount and formal ether sedimentation technique. This study showed that the overall prevalence of intestinal parasites was 20.6%. The detected intestinal parasites were as follows: (7.5%), (4.9%), (0.3%), (2.6%), (1.0%), and (3.9%). Science students showed the highest prevalence for parasitic infections (35.3%), and married students (16.7%) had higher prevalence than single students (6.5%). It was concluded that female students also are under risk of gaining parasitic infection in spite of their education. It is recommended that university students should be subjected to regular medical examinations for parasitic infections. [Abstract copyright: Copyright: © 2019 Avicenna Journal of Medicine.
ANTIBACTERIAL & ANTIFUNGAL POTENTIALITY OF RICINUS COMMUNIS & COLEUS FORSKOHLII ON SOME HUMAN PATHOGENIC MICROORGANISMS
The objective of the present study was to explore the antibacterial and antifungal activity of two plant extracts (Ricinus communis & Coleus forskohlii) against some selected pathogen (Staphylococcus aureus
Green synthesis of mixed metallic nanoparticles using room temperature self-assembly
Bimetallic nanoparticles of silver (Ag) and gold (Au) were synthesized at room temperature using Curcumin. Reduction process of silver and gold ions with different molar ratios leads to production of different nanostructures including alloys and core-shells. Produced nanoparticles were characterized simultaneously with FTIR, UV/vis. spectroscopy, transmission electron microscopy (TEM), and Energy-dispersive X-ray (EDAX). UV/vis. optical absorption spectra of as synthesized nanoparticles reveals presence of surface palsmon resonance (SPR) of both silver at (425 nm) and gold at (540 nm) with small shift and broadness of gold band after mixing with resucing and capping agent in natural extract which suggest presence of bimetallic nano structure (Au/Ag). FTIR and EDAX data approve the presence of bimetallic nano structure combined with curcumin extract. TEM micrographs shows that silver and gold can be synthesized separately in the form of nano particles using curcumin extract. Synthesis of gold nano particles in presence of silver effectively enhance and control formation of bi-metallic structure
Isolation and molecular characterization of cry gene for Bacillus thuringiensis isolated from soil of gaza strip
Bacillus thuringiensis, insecticide, polymerase chain reactions (PCR), crystalline protein, Cry gene, Gaza strip. Bacillus thuringiensis (Bt) is a rod-shaped, gram-positive, facultative anaerobic, and spore-forming bacterium (Konecka et al., 2007). During sporulation, it produces insecticidal proteins, which are deposited within the sporangium as crystalline aggregates (Crickomre et al., 1998
Filistin Gazze’de Al-Azhar Üniversitesi öğrencilerinin HIV/AIDS’e yönelik bilgi ve tutumlarının değerlendirilmesi
Objective:
The study assessed the knowledge and attitudes of students’ at a university in Gaza regarding HIV/AIDS and identified differences in knowledge about HIV, and attitudes by gender, locality, and social and economic status.
Methods:
This descriptive study targeted 492 students of Al-Azhar University-Gaza. The participants completed self-administered questionnaires that included the following dimensions: socio-demographic, measurements of student's knowledge level and measurement of student's attitudes towards HIV/AIDS.
Results:
Findings showed moderate level of knowledge regarding HIV/AIDS although there was a very low of perception regarding the acceptance and sharing of HIV/AIDS persons. It means that only one third of the study respondents are willingness to be in close touch with people living with HIV or even communication with them, and less than fifty percent thought that it is their right to be engaged in a public or governmental job, stigma and discriminatory attitudes toward HIV/AIDS persons is high only 48% of the students thought it right to employ people living with HIV (PLHIV) and 35.5% refused to work in the same place with PLHIV.
Conclusion:
This study indicates the need for improving the level of knowledge as well as promoting the students' towards positive attitude
Isolation, characterization & optimization of cultural condition for bacillus thuringinsis bt from soils of gaza strip
Weight Reduction Perception and Practice among Female Students in Al-Azhar University-Gaza, Palestine
Objectives:
The present study aimed to determine the frequency of weight reduction perception.
Methods:
A sample of 467 female students from Al-Azhar University in the Gaza Strip was selected on a convenience basis. Information obtained from the participants included: age, marital status, place of residence, employment status, health status, methods of weight reduction, sources of information about weight control, and current physical activities.
Results:
The present study found that 38.8% of female students had practiced weight reduction. The most prevailing attitudes for reducing weight described by the students was sports with 83.3%, followed by exclusion of some principal meals or principal nutrients (57.8%). It was found that 38.5% of the students did not practice any physical exercise. An inverse association was also present between the satisfaction about body weight and the practice of weight reduction
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Latent Semantic Analysis and Graph Theory for Alert Correlation: A Proposed Approach for IoT Botnet Detection
YesIn recent times, the proliferation of Internet of Things (IoT) technology has brought a significant shift in the digital transformation of various industries. The enabling technologies have accelerated this adoption. The possibilities unlocked by IoT have been unprecedented, leading to the emergence of smart applications that have been integrated into national infrastructure. However, the popularity of IoT technology has also attracted the attention of adversaries, who have leveraged the inherent limitations of IoT devices to launch sophisticated attacks, including Multi-Stage attacks (MSAs) such as IoT botnet attacks. These attacks have caused significant losses in revenue across industries, amounting to billions of dollars. To address this challenge, this paper proposes a system for IoT botnet detection that comprises two phases. The first phase aims to identify IoT botnet traffic, the input to this phase is the IoT traffic, which is subjected to feature selection and classification model training to distinguish malicious traffic from normal traffic. The second phase analyses the malicious traffic from stage one to identify different botnet attack campaigns. The second stage employs an alert correlation approach that combines the Latent Semantic Analysis (LSA) unsupervised learning and graph theory based techniques. The proposed system was evaluated using a publicly available real IoT traffic dataset and yielded promising results, with a True Positive Rate (TPR) of over 99% and a False Positive Rate (FPR) of 0%.Researchers Supporting Project, King Saud University, Riyadh, Saudi Arabia, under Grant RSPD2024R95
Preceding rule induction with instance reduction methods
A new prepruning technique for rule induction is presented which applies instance reduction before rule induction. An empirical evaluation records the predictive accuracy and size of rule-sets generated from 24 datasets from the UCI Machine Learning Repository. Three instance reduction algorithms (Edited Nearest Neighbour, AllKnn and DROP5) are compared. Each one is used to reduce the size of the training set, prior to inducing a set of rules using Clark and Boswell's modification of CN2. A hybrid instance reduction algorithm (comprised of AllKnn and DROP5) is also tested. For most of the datasets, pruning the training set using ENN, AllKnn or the hybrid significantly reduces the number of rules generated by CN2, without adversely affecting the predictive performance. The hybrid achieves the highest average predictive accuracy
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