Synthesis, Characterization, Antibacterial and Anti-Inflammatory Activities of Enoxacin Metal Complexes

The present work comprises the synthesis of enoxacin (Heno) complexes with various transition metals. Two types of complexes [M(eno)2(H2O)2]3H2O(M = CuII, NiII or MnII) and [M(eno)(H2O)2]Cl · 4H2O (M = FeIII) were obtained. The complexes were characterized by different physicochemical, spectroscopic, and elemental analysis. Results suggest that enoxacin interacts with the metals as a monoanionic bidentate ligand. These complexes were also tested for their antibacterial activity against eleven (11) different microorganisms, and the results were compared with the parent drug. Moreover all the metal complexes were also tested for their ability to scavenge reactive oxygen species where by MnII and CuII complexes exhibited potential to mediate anti-inflammatory response

A Deep Learning Model for Detecting Fake Medical Images to Mitigate Financial Insurance Fraud

Peer reviewe

THE IMPACT OF ELECTRONIC WORD OF MOUTH ON BRAND IMAGE AND CONSUMER PURCHASE INTENTION: AN EMPIRICAL STUDY OF THE CLOTHING INDUSTRY IN PAKISTAN

The main motivation behind this exam document is to look at the extent to which EWOM among customers can affect the brand image and the intent of buying the consumer in the clothing industry. A key condition display process is linked to the E-WOM impacts survey on brand image and buyer's purchase target. The exploration program was tested using an example of 385 respondents who included information within online purchasing groups and examined buyers of Pakistan's textile industry at the time of the investigation. The document recalls the methodologies to help a brand profitably through client-based social networking on the web, as well as typical suggestions for delegated websites and dialogues to enhance this note on a major path with people in their online dating. This explorative document extends the winning image rating to another set, in particular e-WOM. This document provides profitable knowledge on e-WOM estimation, brand image and purchasing expectations of the purchaser in the clothing industry and provides a facility for future search for tagging items

Comparative geospatial approach for agricultural crops identification in interfluvial plain - A case study of Sahiwal district, Pakistan

Agricultural crop cover identification is a major issue and time-consuming effort to verify the crop type through surveys of the individual field or using prehistoric methods. To establish the scenario of crop identification, the stage of crop provides diverse spatial information about the variety of crops due to its spectral changes. The main aim of this study was to the identify the crop types and their behavior using remote sensing and geographical information system-based approach. Moreover, two main methods were applied to the Sentinel-2 satellite data in which one is random forest based supervised classification and another was Normalize Difference Vegetation Index (NDVI) density estimation method through the google earth engine to procure the data in time-efficient way. This study also established the comparison between classified and vegetation index based seasonal compositional datasets for wheat, cotton, maize, and fodder crops. Study discussed the best fit technique for crops identification in the light of observed methods. Furthermore, the vegetation index ranges by the zonal statistics of the field samples were established according to crop precision. Results showed that -22.94, -43.72, 20.61, and 32.49 % dissimilarities existed in wheat, fodder, cotton, and maize results respectively, after comparison of both techniques. Although, the accuracy assessment was performed on the classified dataset for validation of results by confusion matrix accuracy assessment process using field sample data. Moreover, the vegetation index was used to evaluate crop land surface temperature to estimate the crop growth stage valuation that revealed noticeably enthralling outcomes. The results determined that the classified accuracies of wheat, cotton, maize and fodder were 84, 80, 81 and 71 % respectively. This study also revealed that the random forest classifier has used more features and information potentially during the classifier trainings but vegetation index just implies the limited number of features such as crop growing status

Study of class 1 integrons in multidrug-resistant uropathogenic Escherichia coli isolated from different hospitals in Karachi

Objective(s): Escherichia coli is the key pathogen in the family producing ESBL (extended spectrum β-lactamase) and associated with community-acquired infections. Therefore, this study was planned to determine the antibiotic susceptibility pattern of uropathogenic E. coli, prevalence of the ESBL gene group and class 1 integrons.Materials and Methods: Clinical isolates of uropathogenic E. coli were isolated from different hospitals of Karachi. Antibiotic susceptibility test was performed by Kirby-Bauer Methods. Presence of β– lactamases genes (CTX, TEM, and SHV) and integron 1 were identified by polymerase chain reaction (PCR).Results: Out of 500, 105 isolates were identified as multi-drug resistant (MDR) uropathogenic E. coli. The subject MDR isolates showed the highest resistance to aztreonam, amoxil/ clavulanic acid, ampicillin, cotrimoxazole, ceftriaxone, cefipime, and cefuroxime. Genetic analysis showed that the majority of the MDR E. coli carry CTX M1 (57.1%) followed by TEM (33.3%) and SHV (9.5%). Moreover, 79% of MDR E. coli harbored class 1 integrons, whereas all three conserved genes for class 1 integrons were present in 58% of MDR E. coli. Conclusion: This study is helpful to provide information regarding the antibiotic susceptibility pattern, distribution ESBLs and class 1 integrons among uropathogenic E. coli

Addressing Behavioral Drift in Ransomware Early Detection Through Weighted Generative Adversarial Networks

Crypto-ransomware attacks pose a significant cyber threat due to the irreversible effect of encryption employed to deny access to the data on the victim’s device. Existing state-of-the-art solutions are developed based on two assumptions: the availability of sufficient data to perform detection during the pre-encryption phase, and that ransomware behavior is static and does not change over time. However, such assumptions do not hold as data collected during the pre-encryption phase of the ransomware attack are limited and does not contain sufficient patterns needed to identify the attack. Additionally, the evasion techniques like polymorphism and metamorphism used by ransomware lead to behavioral drift that could defeat those solutions. Therefore, this paper addresses these two issues by proposing a weighted Generative Adversarial Networks (wGANs) technique. Firstly, the proposed wGAN was used to generate synthetic data that imitate the behavior of ransomware and simulate the evolution of the attacks. Then, the mutual information was used to estimate the significance of features for different timeframes, thereby helping the detection model to handle the behavioral drift in emerging ransomware variants. Experimental evaluation demonstrates that the proposed wGAN is more robust against behavioral drift compared to the state-of-the-art solutions. The wGAN achieved higher accuracy and lower false alarm rates of 97% and 0.0088 respectively

Effect of metal ions on the in vitro availability of enoxacin, its in vivo implications, kinetic and antibacterial studies

The present paper describes the effect of metals ions on the in vitro availability of enoxacin (a second generation quinolone antibiotic) owing to drug-metal interaction. These interaction studies were performed at 37 °C in different pH environments simulating human body compartments and were studied by UV spectroscopic technique. In order to determine the probability of these reactions different kinetic parameters (dissolution constants (K) and free energy change (ΔG)) for these reactions were also calculated. It is proposed that the structure of enoxacin contains various electron donating sites which facilitate its binding with metallic cations forming chelates. Hence taking food products, nutritional supplements or multivitamins containing multivalent cations at the same time as enoxacin, could reduce the absorption of the drug into the circulation and thus would decrease the effectiveness of the drug. In addition, the MIC of enoxacin for various microorganisms before and after interaction with metal ions was calculated which in most cases was increased which possibly could impair the clinical efficacy of the drug