Effect of Bandwidth Scalability on System Performance in the Downlink LTE Systems

Long Term Evolution (LTE) system employs Orthogonal Frequency Division Multiple Access (OFDMA) in downlink in order to support network deployment using various system bandwidth configurations i.e., 1.4MHz, 3MHZ, 5MHz, 10MHz, 15MHz and 20MHz. The bandwidth scalability enables operator to access multiple channels to achieve higher peak data rates. Also, the bandwidth scalability allows operators to deploy LTE network with the existing spectrum or newly licensed band. Therefore the study on performance of LTE system with different bandwidth configuration becomes vital. Hence in this paper, an attempt has been made to study and compare the performance of LTE system with different spectrum configuration i.e., 1.4MHz, 3MHz, 5MHz, 10MHz, 15MHz and 20MHz for Constant Bit Rate (CBR) traffic scenario in the downlink. The performance metrics considered for simulation studies are aggregate bytes received, average throughput, average delay and average jitter

Utility of Sea Surface Height anomaly (SSHa)in determination of Potential Fishing Zones

Physical processes in the oceans can be monitored by altimeters well before a radiometer can in terms of temperature or chlorophyll concentration. Herein we show the importance of Sea Surface Height anomaly (SSHa, retrieved with altimeter) in demarcating potential fishing zones. We also show how SSHa can help predict tuna movements, horizontally as well as vertically in the water column. Moreover, we prove these prediction with positively correlating SSHa to tuna hooking rates. In the end, we list out present and potential future sources from where SSHa can be retrieved in order to provide improved fishery advisories

Following tagged Yellowfin tuna along the east coast of India explains its feeding behavior: a case study in the Bay of Bengal

Horizontal movement of pelagic fish predator, Yellowfin (Thunnus albacares) tuna, in the oceanic waters of Bay of Bengal has been decoded. Pop-up Satellite Archival Tags (PSATs) were attached to adult tunas to study their distribution and migration. For this, environmental satellite data were matched with the tag locations to understand and characterize habitats of this species. A sub-set of the tag data was selected corresponding to the maximum resident time of tuna indicated by a high density data points. The tagged tuna spent 60 to 70% of its time in the waters having surface temperature within 28o to 29.5oC and sea surface height anomaly within+5 to +12 cm. The tag positions were located on the satellite images; chlorophyll, sea surface temperature, zooplankton and sea surface height anomaly. The two conditions, specific range of temperature and prey abundance, were found necessary for aggregation of tuna

Laxative Property of Safoof-E-Sana, a Unani Formulation

An investigation was carried out to study the laxative property of aqueous extract Safoof-ESana in the unani formulation. Aqueous extract of Safoof-E-Sana was evaluated for laxative property and was measured by weighing the fecal out at 8th and 16th hour of drug administration. Safoof-E-Sana at 50, and 100 mg/kg showed dose dependent laxative effect. The results are compared with standard Senna. Safoof-E-Sana was showed significant laxative activity

Cryotomography of budding influenza a virus reveals filaments with diverse morphologies that mostly do not bear a genome at their distal end

Influenza viruses exhibit striking variations in particle morphology between strains. Clinical isolates of influenza A virus have been shown to produce long filamentous particles while laboratory-adapted strains are predominantly spherical. However, the role of the filamentous phenotype in the influenza virus infectious cycle remains undetermined. We used cryo-electron tomography to conduct the first three-dimensional study of filamentous virus ultrastructure in particles budding from infected cells. Filaments were often longer than 10 microns and sometimes had bulbous heads at their leading ends, some of which contained tubules we attribute to M1 while none had recognisable ribonucleoprotein (RNP) and hence genome segments. Long filaments that did not have bulbs were infrequently seen to bear an ordered complement of RNPs at their distal ends. Imaging of purified virus also revealed diverse filament morphologies; short rods (bacilliform virions) and longer filaments. Bacilliform virions contained an ordered complement of RNPs while longer filamentous particles were narrower and mostly appeared to lack this feature, but often contained fibrillar material along their entire length. The important ultrastructural differences between these diverse classes of particles raise the possibility of distinct morphogenetic pathways and functions during the infectious process

One-carbon metabolism in cancer

Cells require one-carbon units for nucleotide synthesis, methylation and reductive metabolism, and these pathways support the high proliferative rate of cancer cells. As such, anti-folates, drugs that target one-carbon metabolism, have long been used in the treatment of cancer. Amino acids, such as serine are a major one-carbon source, and cancer cells are particularly susceptible to deprivation of one-carbon units by serine restriction or inhibition of de novo serine synthesis. Recent work has also begun to decipher the specific pathways and sub-cellular compartments that are important for one-carbon metabolism in cancer cells. In this review we summarise the historical understanding of one-carbon metabolism in cancer, describe the recent findings regarding the generation and usage of one-carbon units and explore possible future therapeutics that could exploit the dependency of cancer cells on one-carbon metabolism

Novel Clustering Techniques in Wireless Sensor Networks – A Survey

A study of Wireless Sensor Networks has been growing tremendously these days. Wireless Sensor Networks play a major role in various fields ranging from smart homes to health care. WSN’s operate independently in remote places. Because of tiny size of the nodes in such type of networks, they have a limited number of resources in terms of energy and power. Basically, sensor networks can be classified into flat and cluster based Wireless Sensor Networks. But, Clustering based Sensor Networks play a major role in reducing the energy consumption in Wireless Sensor Networks. Clustering also focuses on solving the No.s that arise during transmission of data. Clustering will group nodes into clusters and elects Cluster Heads for all clusters in the network. Then the nodes sense data and send that data to cluster head where the aggregation of data will take place. This paper focuses on various novel clustering techniques that improve the network’s lifetime

A RETROSPECTIVE STUDY TO EVALUATE THE EFFICACY OF INJECTION AUGMENTIN IN COVID-19 PATIENTS WITH PNEUMONIA AT A TERTIARY CARE TEACHING HOSPITAL, TELANGANA

Objective: Coronavirus is a single-stranded, enveloped, positive-sense RNA virus. It is responsible for the acute respiratory syndrome (SARS) and the disease is named COVID-19 by WHO. It is also called SARS-CoV-2. Pneumonia is one of the complications of COVID-19 disease. Patients with pneumonia admitted to General Hospital were treated with Augmentin. Augmentin is a broad-spectrum antibacterial that has been available for clinical use in a wide range of indications for over 20 y and is now used primarily in the treatment of respiratory tract infections. The main objective of our study is to evaluate the efficacy of Augmentin in COVID-19 patients with pneumonia in terms of beneficial effects after treatment. Methods: The present study was a retrospective, observational, record-based study of the case sheets of COVID-19 patients with pneumonia. The statistical analysis was done using paired t-test. Results: In our institution COVID-19 patients with pneumonia were treated with Tablet FAVIRAPIR and Injection AUGMENTIN. The results were calculated using paired t-test and the P-value was<0.0001, which is significant as it is less than 0.05. Therefore, the post-treatment outcome results showed a significant improvement in disease reduction. Conclusion: The study concludes that the empirical treatment of COVID-19 patients with pneumonia using an appropriate antibiotic reduces further deterioration of patients with pneumonia due to complications and also protects the patients from acquired infections during the hospital stay