Clinical evaluation of Augpenin (clavulanic acid-ticarcillin) in urinary tract infections: especially against beta-lactamase producing strains

Augpenin contains ticarcillin (TIPC) and clavulanic acid (CVA), at a ratio of 15:1. The beta-lactamase inhibitor, CVA, has been added to protect the TIPC from inactivation by beta-lactamase. To investigate the drug efficacy and safety against urinary tract infections (UTI), Augpenin was administered to 33 patients with chronic complicated UTI and 7 patients with acute pyelonephritis. Thirty two cases were evaluable by the UTI criteria. Excellent results were obtained in 6 of the cases of acute pyelonephritis, and moderate results in 1 case, with an overall effectiveness rate of 100%. Excellent results were obtained in 14 of the cases of chronic complicated UTI, moderate results in 9 cases, and poor results in 2 cases, with an overall effectiveness rate of 92%. No adverse reactions were noted, but a transient elevation of glutamic oxaloacetic transaminase and glutamic pyruvic transaminase levels was observed in 2 cases.     

A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing

Cloud computing is a technology that provides secure storage space for the customer’s massive data and gives them the facility to retrieve and transmit their data efficiently through a secure network in which encryption and decryption algorithms are being deployed. In cloud computation, data processing, storage, and transmission can be done through laptops and mobile devices. Data Storing in cloud facilities is expanding each day and data is the most significant asset of clients. The important concern with the transmission of information to the cloud is security because there is no perceivability of the client’s data. They have to be dependent on cloud service providers for assurance of the platform’s security. Data security and privacy issues reduce the progression of cloud computing and add complexity. Nowadays; most of the data that is stored on cloud servers is in the form of images and photographs, which is a very confidential form of data that requires secured transmission. In this research work, a public key cryptosystem is being implemented to store, retrieve and transmit information in cloud computation through a modified Rivest-Shamir-Adleman (RSA) algorithm for the encryption and decryption of data. The implementation of a modified RSA algorithm results guaranteed the security of data in the cloud environment. To enhance the user data security level, a neural network is used for user authentication and recognition. Moreover; the proposed technique develops the performance of detection as a loss function of the bounding box. The Faster Region-Based Convolutional Neural Network (Faster R-CNN) gets trained on images to identify authorized users with an accuracy of 99.9% on training.