A Survey on Enhancing the QoS through voice Quality for Voice over Wireless LANs (VoWLAN)

Voice over Internet Protocol (VoIP) is one of the important technologies that allow voice transmission over the IP network. Various voice codec are available for VoIP as this is a rapidly changing technology. It can be an effective renewal for the traditional telephone systems (PSTN) because of extreme utilization of its sources as well as to provide very low cost. Apart from, Wireless Local Area Network (WLAN) has become apparent as a durable networking technology. Hence, the combination of these two popular technologies is growing so fast all over the world. Voice over WLAN will be a tool to provide low-cost and reliable voice services on wireless media. However just like other wireless applications, VoWLAN has also faced few challenges that need to be considered. Quality of Service (QoS) is one of the primary requirements in different kind of wireless applications. In this survey some of the important QoS requirement (latency, delay, jitter etc) have been analyzed, and it also has the introspection of the E- model and MOS (Mean Opinion Score) value for voice quality while using of different ITU-T codec. Therefore it makes Voice over WLAN a challenging research topic. In this study we will address all VoWLAN issues. DOI: 10.17762/ijritcc2321-8169.150516

AN OVERVIEW ON TUBULARCULOSIS TREATMENT IN CURRENT SCENARIO

The causative agent of tuberculosis (TB) is Mycobacterium tuberculosis, which mainly infects lungs and causes severe, fever, weight loss, chest pain, etc. It is an extremely transmittable disease spreaded throughout the world as per the WHO. It has emerged as new threat and drug resistance strains of Mycobacterium are emerging throws a challenge to human’s health like Covid-19 in current scenario. TB is now come in the form of bone TB, which is very difficult to diagnosis due to very slow-growing characteristics of Mycobacterium. This review highlights the history, drug development, current treatment both allopathic and Ayurvedic, as well as novel drugs available for the treatment of drug resistance Mycobacterium

Urban Flood Relief Management in COVID-19 Pandemic

Introduction: Urban floods were addressed as a separate disaster after the historical 2005 Mumbai floods. Urban flood peaks are 2-8 times and volume 6 times when compared with rural floods. We are now handling multiple disasters simultaneously due to the Covid-19 Pandemic. The river plains of north India are prone to floods in the monsoon season and geographical location of Prayagraj doubles the damage because it faces wrath from two sides. Very few researches have been conducted on urban floods and evidence needs to be generated from the field. Methodology: This qualitative research was planned with an objective to identify the difficulties faced in operating an urban flood relief camp during superimposed burden of COVID-19 Pandemic and to suggest remedial measures from the public health aspect. We conducted in-depth interviews of nodal officers, health staff and beneficiaries of the identified camps. Informed consent was taken from participant after explaining them about the research. Results: The findings from the interviews were categorized into 3phases of flood relief i.e. before the floods, during floods and lastly post flood. The most crucial work before floods is to spread awareness about do’s and don’ts in detail. Next was identification of the local people actually affected by flood. The space and facilities at few centers was low for the population load. Urban flood management needs a major overhauling of public health infrastructure to handle such disasters in future. Conclusion: The officials were working hard to make the homeless feel as if they are on a picnic. The database of beneficiaries should be strengthened and should also include students and labourers, anyone who is a flood victim and not only local flood victims

Response of leuprolide on gonadal functions of women with overt hypothyroidism: a tertiary care centre study from Uttar Pradesh, India

Background: Hypothyroidism can cause menstrual disturbances mainly oligoanovualtory cycles and sometimes menorrhagia. It has also been seen to cause subfertility and pregnancy related complications. Various studies have been done to evaluate gonadal dysfunctions in overt hypothyroidism but very few studies are there which have done using a gonadotrophin response in that subset of patients. Present study evaluates the response of leuprolide on gonadal functions of women with overt hypothyroidism in a tertiary care centre at Meerut.Methods: In this study 50 females of age 20 to 40 years with newly diagnosed overt hypothyroidism were taken as cases and age and Body Mass Index (BMI) matched healthy females were taken as controls. Both in cases and controls, basal FSH, LH, estradiol was measured on 2nd day to 5th day of menstrual cycle. Thereafter Leuprolide 20 mcg/kg was given subcutaneously on the same day. Post leuprolide test, stimulated LH, FSH and estradiol were measured. Basal and stimulated values were compared between both groups.Results: Basal LH was significantly higher in controls (8.2±3.2 mIU/L) when compared to cases (6.45±2.75 mIU/L) with a p value 0.03(<0.05). Basal estradiol and FSH levels were found to be nearly similar and non-significant in cases and controls. No significant differences were found between stimulated mean LH and estradiol in both the groups. Leuprolide response after stimulation test was found to be sluggish in patients with overt hypothyroidism compared to normal euthyroid controls. This study is the rare one done on human subject in tertiary care centre of India, however large sample and multicentric trials are necessary before establishing the biochemical results.Conclusions: Pituitary and gonadal (ovarian) response to leuprolide was found to have impaired (decreased) in overt hypothyroidism cases. This is the first study to be done in overt hypothyroid subjects to asses both basal and stimulated gonadotropin levels

FORMULATION AND CHARACTERIZATION OF FLOATING TABLET DOSAGE FORM OF DUAL DELIVERY OF DRUG CURCUMIN AND BERBERINE HYDROCHLORIDE USING SIMULTANEOUS ESTIMATION BY UV SPECTROSCOPY

Objective: The present study was aimed to develop a combinational floating tablet of curcumin and berberine HCl utilizing synthetic polymers synthetic HPMC K-15M and evaluate its various characteristics. Methods: The formulations were developed by the process of wet granulation and evaluated for drug content, content uniformity, floating lag time, total floating time, in vitro buoyancy studies, and in vitro drug release profile. A simultaneous estimation method for curcumin and berberine was developed using U. V spectroscopy. Results: The results clearly indicated that the tablets produced were having acceptable physical parameters. The absence of any drug/polymer/excipient interactions was confirmed using infrared spectroscopy. It was found that the drug content of was in between 96.22 to 99.45 % in all the formulations. Because of their low densities, in vitro floatability tests showed that most of the tablets floated for more than 8 h. The in vitro release studies confirmed the sustained release of more than 80 percent of drug contained within a period of 8 h. In vitro buoyancy was good in all three batches (F1-F3). The overall floating time for the F2 formulation was 24 h. After one month of storage at 40 °C and 75 percent RH, the F2 formulation showed no noticeable change in physical as well as pharmaceutical performance characteristics. Conclusion: Floating tablets of curcumin and berberine was successfully developed and had passed on various pharmaceutical parameters

The impact of the Internet of Things (IoT) on Servitization: An exploration of changing supply relationships

This research paper explores the emerging potential of IoT technology as an enabler for manufacturers seeking to exploit opportunities for new production, business and operating models. Following an analysis of extant literature and exploration of four in-depth cases, the paper presents four dominant pathways to servitizing the business model through IoT implementation. This first finding is extended in the cross-case analysis, through a categorization of cases into the four pathways, comparing different levels of supplier integration and information exchange. Using this data and categorizations, the paper arrives at certain theoretical propositions regarding the wider impact of IoT technology implementation on information exchange and relational rents through self-enforcing safeguards, risk and financial incentive sharing and lastly transaction cost economics. These propositions lead to the recommendation for suppliers to adopt a servitization pathway of ‘operational service’ models, in order to reap maximum competitive benefit and return on specific investments. This suggests a dependence on the servitization pathway chosen by the supplier, implying that there is no single solution to deal with buyer-supplier relationships in IoT servitization environments

Transcriptome Analysis in Chickpea (Cicer arietinum L.): Applications in Study of Gene Expression, Non-Coding RNA Prediction, and Molecular Marker Development

Extensive analyses of transcriptome have been carried out in chickpea, which is the third most important legume valued as a source of dietary protein and micronutrients. Over the last two decades, several laboratories have used a wide range of techniques encompassing expressed sequence tag (EST) analysis, serial analysis of gene expression (SAGE), microarray and next-generation sequencing (NGS) technologies for analysing the chickpea transcriptomes. However, chickpea transcriptome analysis witnessed significant progress with the advent of the NGS platforms. Gene expression analyses using NGS platforms were carried out in the vegetative and reproductive tissues such as shoot, root, mature leaf, flower bud, young pod, seed and nodule by various groups which resulted in identification of several tissue-specific transcripts. Some laboratories have utilized transcriptomics to explore the response of chickpea to abiotic and biotic stresses such as drought, salinity, heat, cold, Fusarium oxysporum and Ascochyta rabiei differentially expressed genes and also established crosstalk between biotic and abiotic stress responses. Transcriptome analysis has been utilized extensively to identify non-coding RNAs such as miRNAs and long intergenic non-coding (LINC) RNAs. Transcriptome analysis has facilitated the development of molecular markers such as simple sequence repeats (SSRs), single-nucleotide polymorphisms (SNPs) and potential intron polymorphisms (PIPs) that are being used to expedite the chickpea breeding programmes. The available chickpea transcriptomes will continue to serve as the foundation for devising strategies for chickpea improvement

Two-layer approach for Unsupervised and Semi-Supervised Learning for Satellite Images

In our galaxy, there are many advanced satellite. Large distance image can be captured with very high quality. The image provides sufficient information at global level and regional level. The field of satellite imagery is evaluated so much that it has created questions to human and environmental sustainability. It is still a challenge to scale those techniques to very high spatial resolutions. Satellite images are of greater spatial, spectral and high resolution creating large set of information about the image which makes it difficult to identify the features of images. This is because the images are unlabeled. Unsupervised method allows us to organize images into clusters. However, unsupervised method like machine learning uses features for clustering. Those images which are close, are kept in same group. The system uses satellite images datasets which provide aerial shots of different location. Images are grouped into sets of 5 where each image in a set was taken on a different day at a specific location but not necessarily at the same time each day. The images for each set cover the same area but not perfectly align. This dataset is provided as input dataset to proposed system. Feature extraction is done by sending a set of images through a network and extracting features at a certain layer which results in a feature set for a certain network. The process of transfer learning involves sending our own images through the network and extracting features at a certain layer. The process followed in this system is different from fine-tuning because images are not trained and the number of classes is not changed in the SoftMax layer of the network. Rather parameters learned by a pre-trained model to see if it can be used for an unlabeled dataset where fine tuning would not be possible are used