Azidothymidine induces severe hematological toxicity and hepatic injury in Charles Foster rats

Background: The present study aimed at evaluating the effects of azidothymidine (AZT) on hematologic and biochemical parameters in Charles Foster rats.Methods: Twelve adult healthy Charles Foster rats comprising of six male and six females were selected for study. Test rodents were divided into four groups containing three rodents each. Three males and three females served as control and remaining received AZT drug. Rodents were acclimatized for 10 days and drug was administered for 28 days. After the completion of drug administration, blood samples were collected and analyzed for hematologic parameters, i.e., Hemoglobin (Hb), Packed cell volume (PCV), red blood cell (RBC), Mean corpuscular hemoglobin concentration (MCHC), total leukocyte count (TLC), Mean corpuscular volume (MCV), Platelet count (Plt) using a Fully Automatic Fully Digital Hematology Cell Counter. In addition, biochemical parameters, were measured to assess the effects of AZT on rodent physiology. In-vivo histopathological studies were also performed on vital organs of rodents to understand the effects of drug at tissue level.Results: When compared with the control group, the data indicated a outstanding decrease in Hb, PCV, RBC, TLC and platelets in all test groups, whereas MCHC did not show any major reduction but MCV data suggested a slight increase. Among biochemical parameters, aspartate aminotransferase (AST), alanine aminotransferase (ALT) and alkaline phosphatase (ALP). were found to be remarkably elevated along with elevated bilirubin and reduced albumin, pointing towards a possible liver damage which was later corroborated by liver histopathological study.Conclusions: Above results indicate azidothymidine to be a myelosuppresive and hepatotoxic drug and its usage as an anti-retro viral during highly active anti-retro viral therapy (HAART) regime should be strictly monitored

A Analysis of Different Type of Advance database System For Data Mining Based on Basic Factor

Normal databases are unable to handling such as large range and large amount of data. Then we need database to support creating, storage, indexing and retrieval of large and wide variety of data for mining. This research paper presents different ways of data mining for advance data as multimedia, spatial, Time-series and heterogeneous data and management of database is given to help to creating, storing, indexing and retrieval. This includes advanced data structures and use of metadata to store advance data like multimedia, spatial, Time-series and heterogeneous database. This research paper claim the database management systems should be extended to arrange new type of data and enable to search based on their contents. Media, Geometry, Time, Calendar objects and all type objects are modeled as attributes of abstract data types. This paper will be describe multimedia, spatial, time series and heterogeneous database as a point of data mining methods, database management technique, data type and application for advance database. DOI: 10.17762/ijritcc2321-8169.15020

IR Based Home Appliances Control System

IR-Based Home Appliances Control System is a control system using which the user can control different home appliances with a remote controller. The remote controller can be used to switch on/off different home appliances like a light bulb, fan, television, etc. which are connected to the circuit. It can also be used to regulate the speed of the fan. It can be activated from up to 10 meters. It is easy to build and can be assembled on a general-purpose PCB.This paper proposes the use of Infrared Remote controller to control different home appliances. It consists of Infrared Remote controller and receiver, microcontroller and triac. In this, the Infrared Remote sends signals to change the state of a home appliance when the microcontroller receives the signal it performs its task i.e. to change the state of the appliance according to the corresponding signal received

Catalyzing Public and Private Investments to Scale Up Socio-Bioeconomy and Nature-Based Solutions

Socio-bioeconomy presents a promising approach to sustainable development by leveraging biological and social diversity to transition away from a fossil fuel dependent economy while simultaneously creating income and employment opportunities for millions of Indigenous and rural communities worldwide. Because the bioeconomy values the sustainable utilization of renewable biological resources, nature-based solutions (NbS), which are a facet of the socio-bioeconomy, gain increasing prominence. Socio-bioeconomy requires substantial investmentsfrom both public and private sectors to develop effective socio-biodiversity production systems. Socio-bioeconomy development will require improved institutional coordination, robust planning, and novel methodologies to measure trade-offs as well as promote synergies that can generate scale gains while preserving ecosystem services. This Policy Brief aims to propose a comprehensive framework for investment governance aligned with socio-bioeconomy, offering specific policy recommendations that G20 countries can adopt and help promote globally. The goal of this contribution is to foster a just development of the socio-bioeconomy by ensuring the rights of communities in accessing natural resources and participating in policymaking processes, and an investment climate that places socio-bioeconomy at the forefront of the development agenda at a global scale

A Qualitative Appraisal of the Teaching Methodology Approaches in PhD Coursework

A comprehensive understanding of research methodologies is necessary to conduct relevant research. Instructing adult scholars is difficult due to their prolonged absence from formal education. To tackle this issue, the university addressed in this paper devised a ‘research methodology’ course specifically designed for those who are employed, including a combination of adult learning principles and traditional teaching methods. An effective evaluation methodology guarantees continuous and fruitful learning. This article provides a qualitative analysis of the technique used by the university to develop research foundations for adult scholars, demonstrating that a blend of andragogy and pedagogy leads to favourable results. Scholars employed management principles to acquire new skills and effectively manage the delicate equilibrium between their professional and personal obligations

Catalyzing Public and Private Investments to Scale Up Socio-Bioeconomy and Nature-Based Solutions

Socio-bioeconomy presents a promising approach to sustainable development by leveraging biological and social diversity to transition away from a fossil fuel dependent economy while simultaneously creating income and employment opportunities for millions of Indigenous and rural communities worldwide. Because the bioeconomy values the sustainable utilization of renewable biological resources, nature-based solutions (NbS), which are a facet of the socio-bioeconomy, gain increasing prominence. Socio-bioeconomy requires substantial investmentsfrom both public and private sectors to develop effective socio-biodiversity production systems. Socio-bioeconomy development will require improved institutional coordination, robust planning, and novel methodologies to measure trade-offs as well as promote synergies that can generate scale gains while preserving ecosystem services. This Policy Brief aims to propose a comprehensive framework for investment governance aligned with socio-bioeconomy, offering specific policy recommendations that G20 countries can adopt and help promote globally. The goal of this contribution is to foster a just development of the socio-bioeconomy by ensuring the rights of communities in accessing natural resources and participating in policymaking processes, and an investment climate that places socio-bioeconomy at the forefront of the development agenda at a global scale

PCM-assisted energy storage systems for solar-thermal applications: Review of the associated problems and their mitigation strategies

Latent heat energy storage (LHES) system is identified as one of the major research areas in recent years to be used in various solar-thermal applications. However, there are various challenges associated i.e., low thermal conductivity, leakage issues, stabilization concerns, etc. In this work, a comprehensive review of studies dealing with these problems and their mitigation strategies. Various design parameters influencing the performance of PCM-assisted systems are also discussed. This article further presents a detailed review of several mathematical models, based on system enthalpy and heat capacity-based modeling schemes along with the techno-economic analysis. The review results reflect the application of porous foams increasing thermal conductivity values of PCM composites relative to pure PCM working mediums. Moreover, the use of extended surfaces with appropriate geometries reduces the phase transition durations for the working medium significantly which enhances the thermal performance. Additionally, PCM encapsulations are identified as one of the widely accepted procedures intensifying the thermal performance of energy storage systems. However, the selection of appropriate encapsulation shell material and shell geometries are some of the important factors to be considered to ensure optimum system performance. This review focuses on the significant aspects of PCM encapsulation design parameters for several solar-thermal systems

Aperture-Fed Quad-Port Dual-Band Dielectric Resonator-MIMO Antenna for Sub-6 GHz 5G and WLAN Application

A four-port dielectric resonator-based connected ground multiple-input multiple-output (MIMO) antenna is designed. The presented antenna was excited through the aperture feeding technique. The dual bands are achieved by optimally feeding the rectangular dielectric resonator through engineered triangular slots. The antenna has operating modes of TE111X and TE111Y at 4.5 GHz and 5 GHz, respectively. It presents a 2 : 1 VSWR bandwidth of 2.64% (4.48 GHz-4.60 GHz) and 1.2% (4.96 GHz-5.04 GHz) in the lower and upper bands, respectively. The edge-to-edge distance between array elements is around 7.5 mm. The single antenna dimension is 30 mm x 30 mm, whereas the four-port antenna dimension is 60 mm x 60 mm. The optimum isolation was achieved by carefully placing the antenna elements on the substrate through multiple iterations. The antenna provides port isolation better than 20 dB at both resonances with full ground profile. The advantage of the antenna is that it provides fair antenna and MIMO parameters without additional isolation techniques. The antenna has efficiency in order of 88.02% and 86.31%. The peak gain is 7.67 dBi and 8.32 dBi at 4.5 GHz and 5 GHz, respectively. The optimum envelope correlation coefficient (ECC) is 0.037, channel capacity coss (CCL) is 0.2 bits/sec/Hz, diversity gain (DG) is 9.99 dB, and total active reflection coefficient (TARC) is -18.87. The antenna elements are orthogonally placed with adequate separation to achieve polarization diversity and spatial diversity. The antenna provides the utilization in Sub-6 GHz 5G and WLAN communication applications

Constraining the epoch of reionization with the variance statistic: simulations of the LOFAR case

Several experiments are underway to detect the cosmic redshifted 21-cm signal from neutral hydrogen from the Epoch of Reionization (EoR). Due to their very low signal-to-noise ratio, these observations aim for a statistical detection of the signal by measuring its power spectrum. We investigate the extraction of the variance of the signal as a first step towards detecting and constraining the global history of the EoR. Signal variance is the integral of the signal's power spectrum, and it is expected to be measured with a high significance. We demonstrate this through results from a simulation and parameter estimation pipeline developed for the Low Frequency Array (LOFAR)-EoR experiment. We show that LOFAR should be able to detect the EoR in 600 hours of integration using the variance statistic. Additionally, the redshift ($z_r$) and duration ($\Delta z$) of reionization can be constrained assuming a parametrization. We use an EoR simulation of $z_r = 7.68$ and $\Delta z = 0.43$ to test the pipeline. We are able to detect the simulated signal with a significance of 4 standard deviations and extract the EoR parameters as $z_r = 7.72^{+0.37}_{-0.18}$ and $\Delta z = 0.53^{+0.12}_{-0.23}$ in 600 hours, assuming that systematic errors can be adequately controlled. We further show that the significance of detection and constraints on EoR parameters can be improved by measuring the cross-variance of the signal by cross-correlating consecutive redshift bins.Comment: 13 pages, 14 figures, Accepted for publication in MNRA