Effect of Bit Error Rate in LDPC Based OFDM System over AWGN, Raician And Raileigh Fading Channels

Modern communication systems are adopting new Morden technologies like OFDM (Ortogonal Frequency Division Multiplexing) and LDPC (Low Density Parity Check) for achieving high performance, low Bit Error Rate (BER) and high capacity. The OFDM communication is inspired effectively from the frequencies of channel over the network. In this type of network some kind of distortion occurs over the channel called Inter Carrier Interference (ICI). The OFDM technique can be implemented using Low Density Parity Check (LDPC) Codes because of their ability to reaching near Shannon limit performance. In this paper we are presenting the effect of Bit Error Rate (BER) with Signal to Noise Ratio (SNR) in OFDM system which is based on LDPC over Additive White Gaussian Noise (AWGN), Rician and Rayliegh Fading Channel using MATLAB. The results are then compared with Conventional based OFDM system. DOI: 10.17762/ijritcc2321-8169.15037

Prevalence of thyroid disorders among pregnant women at a tertiary care hospital in Rajasthan

Background: Hormonal changes and metabolic demands during pregnancy result in profound alterations in the biochemical parameters of thyroid function. Screening for thyroid disorders and initiation of its management at the earliest stage during first trimester is essential as maternal thyroid failure during the first half of pregnancy has been associated with several pregnancy complications and intellectual impairment in offspring. Aim was to evaluate the prevalence of thyroid dysfunction during the first and second trimester of pregnancy among women of Rajasthan state in India.Methods: The study comprised a cohort of 313 consecutive pregnant women in the first and second trimester that attended the OPD and were admitted as pregnant women in Obstetrics and Gynecology Department of the NIMS Medical College and Hospital, Jaipur, Rajasthan. Thyroid stimulating hormone (TSH) levels and free T4 (fT4) were estimated. The subjects were grouped into six groups based on the value of serum TSH and fT4.Results: Out of 313 antenatal women enrolled in the study, 213 (68%) attended antenatal clinic in first trimester of pregnancy and 100 (32%) women in their second trimester. The prevalence of thyroid dysfunction was 15.97% (overt hypothyroidism 1.28%, subclinical hypothyroidism 4.79%, isolated hypothyroxinemia 4.47%, overt hyperthyroidism 1.92%, and subclinical hyperthyroidism 3.51%). The women with overt hypo- or hyperthyroidism and subclinical hypothyroidism were older than euthyroid women. Maternal weight was high in pregnant women with overt hypothyroidism (58.22±6.18 kg) and subclinical hypothyroidism (52.04±2.94 kg). Gravid status was high in pregnant women with overt hypothyroidism, subclinical hypothyroidism and isolated hypothyroxinemia, but low in hyperthyroid group. History of miscarriage was high in pregnant women with subclinical hypothyroidism.Conclusions: With this study, it was concluded that there is high prevalence of thyroid dysfunction in pregnancy predominantly in rural population of Rajasthan. Majority among these being subclinical hypothyroidism and hypothyroxinemia

Conservation of the night soil composting and the importance of organic farming in high altitude regions : A review

132-139Human civilization took an advanced step with the advent of agriculture. For long agricultural operations were dependent on natural inputs, but with the onset of Industrial Revolution chemical fertilizers were developed to fulfil the demands of rapidly growing human population. The chemical inputs that dramatically increased the agricultural yield, however, brought along some detrimental side effects that harm both the environment and the farmer. Consequently, there's a gradual reversal towards using natural inputs in the form of organic farming. The high altitude regions of Himachal Pradesh viz. Lahaul-Spiti had been practicing organic farming using traditional night soil compost. However, due to modernization and easy availability of subsidized chemical fertilizers, this practice is facing steady decline. Usage of chemical inputs puts the already fragile environment of the region at risk of pollution. Thus, to save the region from pollution via chemicals and preserve the traditional practice of Night Soil Composting, we are trying to improve the hygiene of the winter dry toilet. Accelerated degradation leading to minimizing the foul odor to negligible level have been obtained with implementation of microbial intervention for rapid decomposition using cold tolerant bacteria with efficient hydrolytic enzymatic activity

Conservation of the night soil composting and the importance of organic farming in high altitude regions : A review

Human civilization took an advanced step with the advent of agriculture. For long agricultural operations were dependent on natural inputs, but with the onset of Industrial Revolution chemical fertilizers were developed to fulfil the demands of rapidly growing human population. The chemical inputs that dramatically increased the agricultural yield, however, brought along some detrimental side effects that harm both the environment and the farmer. Consequently, there's a gradual reversal towards using natural inputs in the form of organic farming. The high altitude regions of Himachal Pradesh viz. Lahaul-Spiti had been practicing organic farming using traditional night soil compost. However, due to modernization and easy availability of subsidized chemical fertilizers, this practice is facing steady decline. Usage of chemical inputs puts the already fragile environment of the region at risk of pollution. Thus, to save the region from pollution via chemicals and preserve the traditional practice of Night Soil Composting, we are trying to improve the hygiene of the winter dry toilet. Accelerated degradation leading to minimizing the foul odor to negligible level have been obtained with implementation of microbial intervention for rapid decomposition using cold tolerant bacteria with efficient hydrolytic enzymatic activit

Unraveling Prostaglandin and NLRP3 Inflammasomemediated Pathways of Primary Dysmenorrhea and the Role of Mefenamic Acid and Its Combinations

Painful menstrual cramps during or around the time of the monthly cycle are known as dysmenorrhea. The estimated global prevalence in women of reproductive age ranges from 45% to 95%. It has a significant negative impact on regular activities and productivity at work. However, despite the severe consequences on quality of life, primary dysmenorrhea (PD) is underdiagnosed. Dysmenorrhea has complex pathogenesis. It involves the release of prostaglandins and activation of the nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome and also includes the involvement of other mediators such as bradykinin, histamine and acetylcholine. Even though nonsteroidal anti-inflammatory drugs (NSAIDs) remain the most common type of pain medication, the question of which one should be the most preferred is still open to debate. The current review examines the existing evidence for the pathogenesis of PD and makes evidence based and clinical experience based recommendations for the use of mefenamic acid and its combination in the treatment of dysmenorrhea. Mefenamic acid alleviates PD by inhibiting endometrial prostaglandin formation, restoring normal uterine activity, and reducing the inflammatory response by inhibiting the NLRP3 inflammasome and reducing the release of cytokines such as interleukin (IL)-1β. It is also known to have bradykinin antagonist activity. Dicyclomine has a dual action of blocking the muscarinic action of acetylcholine in postganglionic parasympathetic effect or regions and acting directly on uterine smooth muscle by blocking bradykinin and histamine receptors to relieve spasms. According to the experts, mefenamic acid and dicyclomine act synergistically by acting on the different pathways of dysmenorrhea by blocking multifactorial agents attributed to the cause of dysmenorrhea. Hence, the combination of mefenamic acid and dicyclomine should be the preferred treatment option for dysmenorrhea

Leishmania donovani: Immunostimulatory Cellular Responses of Membrane and Soluble Protein Fractions of Splenic Amastigotes in Cured Patient and Hamsters

Visceral leishmaniasis (VL), caused by the intracellular parasite Leishmania donovani, L. chagasi and L. infantum is characterized by defective cell-mediated immunity (CMI) and is usually fatal if not treated properly. An estimated 350 million people worldwide are at risk of acquiring infection with Leishmania parasites with approximately 500,000 cases of VL being reported each year. In the absence of an efficient and cost-effective antileishmanial drug, development of an appropriate long-lasting vaccine against VL is the need of the day. In VL, the development of a CMI, capable of mounting Th1-type of immune responses, play an important role as it correlate with recovery from and resistance to disease. Resolution of infection results in lifelong immunity against the disease which indicates towards the feasibility of a vaccine against the disease. Most of the vaccination studies in Leishmaniasis have been focused on promastigote- an infective stage of parasite with less exploration of pathogenic amastigote form, due to the cumbersome process of its purified isolation. In the present study, we have isolated and purified splenic amastigotes of L. donovani, following the traditional protocol with slight modification. These were fractionated into five membranous and soluble subfractions each i.e MAF1-5 and SAF1-5 and were subjected for evaluation of their ability to induce cellular responses. Out of five sub-fractions from each of membrane and soluble, only four viz. MAF2, MAF3, SAF2 and SAF3 were observed to stimulate remarkable lymphoproliferative, IFN-γ, IL-12 responses and Nitric Oxide production, in Leishmania-infected cured/exposed patients and hamsters. Results suggest the presence of Th-1 type immunostimulatory molecules in these sub-fractions which may further be exploited for developing a successful subunit vaccine from the less explored pathogenic stage against VL

Development of a Fast SARS-CoV-2 IgG ELISA, Based on Receptor-Binding Domain, and Its Comparative Evaluation Using Temporally Segregated Samples From RT-PCR Positive Individuals

SARS-CoV-2 antibody detection assays are crucial for gathering seroepidemiological information and monitoring the sustainability of antibody response against the virus. The SARS-CoV-2 Spike protein's receptor-binding domain (RBD) is a very specific target for anti-SARS-CoV-2 antibodies detection. Moreover, many neutralizing antibodies are mapped to this domain, linking antibody response to RBD with neutralizing potential. Detection of IgG antibodies, rather than IgM or total antibodies, against RBD is likely to play a larger role in understanding antibody-mediated protection and vaccine response. Here we describe a rapid and stable RBD-based IgG ELISA test obtained through extensive optimization of the assay components and conditions. The test showed a specificity of 99.79% (95% CI: 98.82-99.99%) in a panel of pre-pandemic samples (n = 470) from different groups, i.e., pregnancy, fever, HCV, HBV, and autoantibodies positive. Test sensitivity was evaluated using sera from SARS-CoV-2 RT-PCR positive individuals (n = 312) and found to be 53.33% (95% CI: 37.87-68.34%), 80.47% (95% CI: 72.53-86.94%), and 88.24% (95% CI: 82.05-92.88%) in panel 1 (days 0-13), panel 2 (days 14-20) and panel 3 (days 21-27), respectively. Higher sensitivity was achieved in symptomatic individuals and reached 92.14% (95% CI: 86.38-96.01%) for panel 3. Our test, with a shorter runtime, showed higher sensitivity than parallelly tested commercial ELISAs for SARS-CoV-2-IgG, i.e., Euroimmun and Zydus, even when equivocal results in the commercial ELISAs were considered positive. None of the tests, which are using different antigens, could detect anti-SARS-CoV-2 IgGs in 10.5% RT-PCR positive individuals by the fourth week, suggesting the lack of IgG response

A two-step feature selection procedure for relevant markers of Squamous Cell Lung Carcinoma using different survival models

There are potentially infinite gene expression markers for Lung Squamous Cell Carcinoma. This results in a high-dimensional data with a large number of features. The selection of relevant markers for analysis is thus, of utmost importance. In our study, we have aimed to select a subset of prominent and significant features from 31918 features of gene expressions. Analysis is then performed on the selected features using the Cox Proportional Hazards Model to know how each marker affects the survival estimates of a patient. We have employed a two-step selection process to select a subset of markers. The first step is done by L1 regularized Cox PH. Then the selected markers are screened a second time by running a univariate Cox PH model and checking for the p-value of each bio-marker via Wald inference (p<0.05). Once the final selection is made, we estimate the Hazard Ratio and Confidence intervals using Maximum Likelihood Estimates (MLE) and the Bayesian Approach with the Cox Proportional Hazards Model (CPH) and the Accelerated Failure Time Model (AFT) as an alternative. A forest plot has also been generated to show the graphical representation of the meta-analysis done in the study. With the proposed selection procedure we have managed to find a suitable subset out of a large number of variables available. The features selected have been analyzed and their validity has been confirmed by using survival models

A combined iterative sure independence screening and Cox proportional hazard model for extracting and analyzing prognostic biomarkers of adenocarcinoma lung cancer

The selection of significant biomarkers is essential in researching cancer diagnosis and treatment. The independence screening method works substantively to select crucial features based on the conditional marginal selection method. But it may pretermit the concoction effect of some marginally less essential covariates. We aim to obtain a significant biomarker-specific prediction on overall survival to know their survival and death risk. In this work, an iterative sure independence screening (ISIS) scheme has been applied to extract features from the high-dimensional dataset of adenocarcinoma lung cancer. Conventional and Bayesian approaches of the Cox proportional hazard (CPH) model have been used for analyzing the data to provide interpretation and conclusions about survival estimates. The accelerated failure time model is also used as an alternative to the CPH model. A forest plot is employed to show the graphical representation of the meta-analysis of the study design. Utilizing ISIS, we selected up to 20 relevant features From the entire dataset of adenocarcinoma lung cancer; some of them are liable to produce a positive hazard ratio greater than 1, and some are less than 1. The P values associated with the selected biomarkers imply their statistical significance. Fourteen biomarkers have been identified with a hazard ratio of less than 1; the remaining 20 biomarkers are greater than 1. These 14 biomarkers produce less risk of death for patients with adenocarcinoma lung cancer, and the remaining six biomarkers result in a high risk of death from adenocarcinoma lung cancer.</p

Thresholding of prominent biomarkers of breast cancer on overall survival using classification and regression tree

BACKGROUND: HER2, ER, PR, and ERBB2 play a vital role in treating breast cancer. These are significant predictive and prognosis biomarkers of breast cancer. OBJECTIVE: We aim to obtain a unique biomarker-specific prediction on overall survival to know their survival and death risk. METHODS: Survival analysis is performed on classified data using Classification and Regression Tree (CART) analysis. Hazard ratio and Confidence Interval are computed using MLE and the Bayesian approach with the CPH model for univariate and multivariable illustrations. Validation of CART is executed with the Brier score, and accuracy and sensitivity are obtained using the k-nn classifier. RESULTS: Utilizing CART analysis, the cut-off value of continuous-valued biomarkers HER2, ER, PR, and ERBB2 are obtained as 14.707, 8.128, 13.153, and 6.884, respectively. Brier score of CART is 0.16 towards validation of methodology. Survival analysis gives a demonstration of the survival estimates with significant statistical strategies. CONCLUSIONS: Patients with breast cancer are at low risk of death, whose HER2 value is below its cut-off value, and ER, PR, and ERBB2 values are greater than their cut-off values. This comparison is with the patient having the opposite side of these cut-off values for the same biomarkers