Over the past few decades, the health benefits are under threat as many commonly used antibiotics have become less and less effective against certain illnesses not only because many of them produce toxic reactions but also due to the emergence of drug-resistant bacteria. The clinical use of a combination of antibiotic therapy for Pseudomonas aeruginosa infections is probably more effective than monotherapy. The present study aims to estimate the antibacterial and antibiofilm activity of Conocarpus erectus leaves extracts against multi-drug resistant P. aeruginosa isolated from different hospitals in Baghdad city. One hundred fifty different clinical specimens were collected from patients from September 2021 to January 2022. All samples were cultured on specific and differential media, only 83 isolates were able to grow on cetrimide agar and at 42˚C, and then the VITEK 2 compact system was dependent to complete the identification. The results showed that the high resistance of the isolates was to the two antibiotics Ceftriaxone and Amoxicillin-Clavulanic acid with a percentage of (92.7%) and (89.2%) respectively, followed by Trimethoprim with a resistance rate of (79.5%). Ten isolates with multi-drug resistance are selected to evaluate the antibacterial activity of plant extracts and the combination between Conocarpus erectus extract and antibiotics. Maceration and Soxhlet apparatus were used to prepare the methanolic and aqueous extracts. The results of the radical scavenging ability showed that the methanolic and aqueous extracts (96.44 and 94.13%) in 10 mg/ml respectively, were more than the artificial antioxidant (BHT) which was 93.11% and the approach with the vitamin C which was 97.20%. The results of the total phenolic content were observed at 51.58 and 65.60 mg/g in 5 mg/ml for the aqueous and methanolic extracts respectively. The antibacterial activity of C. erectus leaves extracts showed that the methanolic extract was more effective than the aqueous extract at a concentration of 100 mg/ml. The results of the minimal inhibitory concentration (MIC) of the methanolic extract against P. aeruginosa were between 8-32 mg\ml. While the MIC values of the aqueous extract were 128-256 mg\ml. The synergistic activity between C. erectus methanolic extract and antibiotics against multidrug-resistant P. aeruginosa was assessed using the checkerboard analysis technique. The methanolic extract showed a synergistic effect with Cefepime against six isolates (FICI: ≤0.5), and an additive effect against four isolates (FICI: (≥ 0.5–1.0). Furthermore, a synergistic effect with Ceftriaxone against seven isolates and additive interaction was found against three isolates.
This paper is attempt to study the nonlinear second order delay multi-value problems. We want to say that the properties of such kind of problems are the same as the properties of those with out delay just more technically involved. Our results discuss several known properties, introduce some notations and definitions. We also give an approximate solution to the coined problems using the Galerkin's method.
(5)
A chemical optical fiber sensor based on surface plasmon resonance (SPR) was developed and implemented using multimode plastic optical fiber. The sensor is used to detect and measure the refractive index and concentration of various chemical materials (Urea, Ammonia, Formaldehyde and Sulfuric acid) as well as to evaluate the performance parameters such as sensitivity, signal to noise ratio, resolution and figure of merit. It was noticed that the value of the sensitivity of the optical fiber-based SPR sensor, with 60nm and 10 mm long, Aluminum(Al) and Gold (Au) metals film exposed sensing region, was 4.4 μm, while the SNR was 0.20, figure of merit was 20 and resolution 0.00045. In this work a multimode
... Show More
(10)
The evolution in the field of Artificial Intelligent (AI) with its training algorithms make AI very important in different aspect of the life. The prediction problem of behavior of dynamical control system is one of the most important issue that the AI can be employed to solve it. In this paper, a Convolutional Multi-Spike Neural Network (CMSNN) is proposed as smart system to predict the response of nonlinear dynamical systems. The proposed structure mixed the advantages of Convolutional Neural Network (CNN) with Multi -Spike Neural Network (MSNN) to generate the smart structure. The CMSNN has the capability of training weights based on a proposed training algorithm. The simulation results demonstrated that the proposed
... Show More
(1)
XML is being incorporated into the foundation of E-business data applications. This paper addresses the problem of the freeform information that stored in any organization and how XML with using this new approach will make the operation of the search very efficient and time consuming. This paper introduces new solution and methodology that has been developed to capture and manage such unstructured freeform information (multi information) depending on the use of XML schema technologies, neural network idea and object oriented relational database, in order to provide a practical solution for efficiently management multi freeform information system.
Most Internet of Vehicles (IoV) applications are delay-sensitive and require resources for data storage and tasks processing, which is very difficult to afford by vehicles. Such tasks are often offloaded to more powerful entities, like cloud and fog servers. Fog computing is decentralized infrastructure located between data source and cloud, supplies several benefits that make it a non-frivolous extension of the cloud. The high volume data which is generated by vehicles’ sensors and also the limited computation capabilities of vehicles have imposed several challenges on VANETs systems. Therefore, VANETs is integrated with fog computing to form a paradigm namely Vehicular Fog Computing (VFC) which provide low-latency services to mo
... Show More
(12)
(10)
The main focus of this research is to examine the Travelling Salesman Problem (TSP) and the methods used to solve this problem where this problem is considered as one of the combinatorial optimization problems which met wide publicity and attention from the researches for to it's simple formulation and important applications and engagement to the rest of combinatorial problems , which is based on finding the optimal path through known number of cities where the salesman visits each city only once before returning to the city of departure n this research , the benefits of( FMOLP) algorithm is employed as one of the best methods to solve the (TSP) problem and the application of the algorithm in conjun
... Show More
(30)
(23)
Geographic Information Systems (GIS) are obtaining a significant role in handling strategic applications in which data are organized as records of multiple layers in a database. Furthermore, GIS provide multi-functions like data collection, analysis, and presentation. Geographic information systems have assured their competence in diverse fields of study via handling various problems for numerous applications. However, handling a large volume of data in the GIS remains an important issue. The biggest obstacle is designing a spatial decision-making framework focused on GIS that manages a broad range of specific data to achieve the right performance. It is very useful to support decision-makers by providing GIS-based decision support syste
... Show More
(6)
(4)