Role of neutrophil-lymphocyte ratio in determining the outcomes of preterm premature rupture of membranes

Background: Premature Rupture of Membranes (PROM) is a significant obstetric problem. Evaluation of neutorphil-lymphocyte ratio (NLR) is expected to throw light on the potential scope of early prediction of PPROM. With this background, the present study was carried out to compare the NLR among preterm PROM and healthy controls to evaluate the predictive role of NLR and platelet-lymphocyte ratio (PLR).Methods: This case control study was carried out among 101 pregnant women 44 pregnant women diagnosed with Preterm PROM and 55 term gestation matched healthy controls. Laboratory parameters (including complete blood count were measured. PLR was calculated as the number of platelets divided by the lymphocyte count, and NLR was calculated by dividing the neutrophil Count by the lymphocyte count, both of which were obtained from the same blood samples.Results: All the inflammatory markers including total count, neutrophil count, NLR and PLR ratios were elevated among PPROM group compared to the controls. The observed differences in the mean levels of these parameters were statistically significant (p<0.05).Conclusions: It may be considered that monitoring of NLR during second and early third trimesters as a routine practice among high risk mothers can significantly help in early prediction of PPROM and help in minimizing adverse maternal and neonatal outcomes

Hotspot Identification System for identification of core residues in Diabetic Proteins

Data on genome structural and functional features for various organisms are being accumulated and analyzed in laboratories all over the world. The data are stored and analyzed on a large variety of expert systems. The public access to most of these data offers to scientists around the world an unprecedented chance to data mine and explores in depth this extraordinary information repository, trying to convert data into knowledge. The DNA and RNA molecules are symbolic sequences of amino acids in the corresponding proteins has definite advantages in what concerns storage, search, and retrieval of genomic information. In this study an attempt is made to develop an algorithm for aligning multiple DNA / protein sequences. In this process hotspots are located in a protein sequence using the multiple sequence alignment

A Comparative Study on Prediction of Endometriosis Causing Infertility Using Machine Learning Techniques: in Detail

The purpose of this study is to utilize Artificial Intelligence to analyse and predict endometriosis problem in women. All traditional methods are used before to develop or to predict the likelihood of endometriosis based on the symptoms presented. By identifying the symptoms of endometriosis, the machine learning algorithms can determine the type of endometriosis and the appropriate course of action for patients. This technology can be used to educate women globally on the signs and symptoms of endometriosis and help them take preventive measures to avoid this deadly disease. The results of this research demonstrate the potential of advanced technology to revolutionize healthcare by providing early detection and treatment options for endometriosis. In areas with limited access to medical care, this tool can aid in identifying ovarian cancer and reducing mortality rates. By detecting and diagnosing endometriosis at an early stage, this program can play a significant role in promoting women's health and wellbeing. The methodology proposed in this study produces classification results that are on par with cutting-edge deep learning techniques. In addition, the methodology provides visual explanations that offer valuable insights into the inner workings of each model and enhance the accuracy and reliability of the predictions

Intra thyroid thyroglossal cyst: a rare presentation

Thyroglossal duct cyst is a congenital malformation occurring due to incomplete closure of the thyroglossal duct. The infrequency with which it is encountered in thyroid makes it a formidable diagnostic challenge. Authors report this case because of the rarity of intrathyroid location of thyroglossal cyst.

Isolation and speciation of genus candida in patients undergoing chemotherapy and radiotherapy for head and neck tumours

Background: Fungal infections occur as a result of defect in the immune system. The use of wide-spectrum antibiotics, immunosuppressive therapy, HIV and an increasing incidence of diabetes are some of the causes that resulted in raising number of immunocompromised individuals, in the global scenario. Opportunistic fungal infections mainly oral candidiasis is common in patients undergoing chemotherapy (CT) or radiotherapy (RT) for Head & Neck tumors. Objectives: Isolation and speciation of Candida with antifungal susceptibility testing in patients undergoing CT and RT for Head and Neck tumors.Methods: Study group comprised of 100 saliva samples collected by oral rinse method, (50 chemotherapy and 50 radiotherapy) from inpatients of King George hospital, Visakhapatnam and 50 normal healthy individuals were taken as control group. Standard mycological tests for the Candida isolation, speciation and antifungal susceptibility were done.Results: In the study group out of the 100 patients, 38% were culture positive for Candida. The most commonly isolated species was C. albicans (60.5%) followed by non albicans species. Most of the candida species showed sensitivity to nystatin, amphotericin B, itraconazole and Ketoconazole. In control group 9 out of 50 samples (18%) were culture positive and all the isolates were Candida albicans.Conclusion: Increase in frequency of oral candidiasis in patients undergoing chemotherapy and radiotherapy was observed. The increase in positivity may be attributed to inadequate nutritional status and poor oral hygiene during chemotherapy and radiotherapy. Culture positivity is more in RT patients than in CT patients. Though C. albicans is the predominant isolate, non albicans species are also emerging. All the Candida species isolated from study group were sensitive to nystatin, amphotericin B, itraconazole and ketoconazole. In the study group all the Candida species were resistant to clotrimazole and fluconazole and in the control group all the C. albicans were sensitive to fluconazole.  

GREEN SYNTHESIS OF NANOSTRUCTURED ZINC PARTICLES USING AQUEOUS LEAF EXTRACT OF SCHREBERA SWIETENIOIDES ROXB. AND THEIR CATALYTIC APPLICATION IN DEGRADATION OF METHYL ORANGE, CRYSTAL VIOLET DYES AND CHROMIUM METAL

Objective: The present work was aimed to synthesized the zinc nanoparticles (ZnO NPs) using aqueous leaf extract of Schrebera swietenioides Roxb., and further, the green-synthesized ZnO NPs were studied for its efficacy in the degradation of hazardous dyes like methyl orange, crystal violet and hazardous metal such as chromium. Methods: The ZnO NPs were synthesized using aqueous leaf extract of S. swietenioides Roxb., as a green reducing agent and 0.1 M Zinc acetate as metal source and the NPs synthesis was completed within a short period of 6 h. The ZnO NPs synthesized were characterized using SEM, TEM, EDS, XRD, FT-IR and UV-visible spectrophotometer. Further, the synthesized NPs were applied for reduction of pollutant days such as methyl orange, crystal violet and pollutant metal chromium. Results: The synthesis of NPs was monitored by observing the color change in the reaction mixture and UV visible spectral analysis. The UV spectral analysis shows a characteristic absorption wavelength at 379 nm. The synthesized NPs were hexagonal wurtzite form crystals having a spherical shape with rough surfaces with an average size of 68 nm and having 73.7 % of zinc content. At a NPs dose of 1.0 g/l the photocatalytic reduction was observed as 85.33±0.02 %, 86.82±0.095 % and 86.73±0.104 % for crystal violet dye, methyl orange dye and chromium metal, respectively. The NPs shows a high % photocatalytic reduction of chromium metal, crystal violet dye and methyl orange dye with less contact time confirms that the synthesized ZnO NPs were effectively catalyzed the degradation of methyl orange, crystal violet dyes and chromium metal. The NPs were observed to be recyclable and can shows high reduction activity after the completion of three cycles of degradation. Conclusion: Hence it can be concluded that synthesized greener nanocatalyst was efficient for pollutant treatment and demonstrated the power of green biosynthesis for metallic nanoparticles

A COMPARATIVE ANTIBACTERIAL STUDY OF IXORA COCCINEA L. PLANTS WITH RED, ORANGE, PINK AND WHITE FLOWERS

Eradication of pathogenic bacterial infection is the most effective means of curing several diseases and preventingrecurrent episodes. The main objective of this study was to evaluate the comparative antibacterial activity of Ixora coccinea L.plants with red, orange, pink and white flowers against tested bacteria Escherichia coli, Staphylococcus aureus, Bacillus subtilis,Klebsiella pneumoniae. Both the methanolic and aqueous extracts of all four types of flowers exhibited considerable antibacterialactivities against bacteria. The methanolic extracts of red and pink flowers exhibited high antibacterial activity whereas orangeflowers showed moderate activity while white flowers showed low activity. The aqueous extracts displayed less inhibitory effectscompared to the methanolic extracts. The aqueous extracts of red and pink flowers showed considerable high antibacterialactivity compared to orange and white flowers. The preliminary phytochemical screening revealed the presence of alkaloids,glycosides, steroids, carbohydrates, flavonoids and tannins

A Study on “Security of Cyber-Physical Systems in the Cloud”

The existing security models are built with certain assumptions. The solutions like distributed accountability, provable data possession (PDP), Third Party Auditing (TPA) and so on are secure as long as the assumptions hold true. To ensure fool proof security for cloud storage security little research has been made on quantum key cryptography. Since the quantum key distribution is unconditionally secure, we propose a new scheme known as Cloud QKDP (Quantum Key Distribution Protocol for Cloud Computing) which exploits the benefits of quantum mechanisms to secure cloud storage and data dynamics. We consider a case study in which three parties such as cloud server, data owner and trusted client have provably secure communications with our proposed scheme which uses random oracle model. Our empirical study revealed mixture of success and failure rates with private and public clouds respectively

Population structure and genetic differentiation among the substructured Vysya caste population in comparison to the other populations of Andhra Pradesh, India

The present paper focuses on the study of the patterns of genetic microdifferentiation among one of the substructured caste populations of Andhra Pradesh, namely Vysya, with reference to 17 other Telugu speaking populations from the same region of India. A total of 302 individuais from the three Vysya subgroups (101 of Arya Vysya, 100 from Kalinga Vysya and 101 from Thrivarnika) were typed in 17 blood groups and protein polymorphisms. Nei's gene diversity analysis, as well as neighbour-joining tree and UPGMA cluster diagrams, derived from standard genetic distances, R-matrix analysis and a regression model for investigating the patterns of external gene flow and genetic drift due to isolation under the island model, were done at two levels: (1) considering only the three Vysya populations and (2) considering common loci among 20 populations of Andhra Pradesh. Seven of the 17 systems investigated were found to be monomorphic among all the three Vysya groups. The UPGMA tree and bidimensional scaling of the D2 distances derived from R-matrix analysis show a very distinct cluster of Vysya populations. Application of the model of regression of average heterozygosity versus the distance of populations from the centroid shows the three Vysya populations placed as clear outliers above the theoretical regression line. Different approaches employed in this study give support to the hypothesis of different origin and/or demographic story for the three Vysya groups compared with other populations of Andhra Pradesh.Fil: Lakshmi, N.. Andhra University; IndiaFil: Demarchi, Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Antropología de Córdoba. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades. Instituto de Antropología de Córdoba; ArgentinaFil: Veerraju, P.. Andhra University; IndiaFil: Rao, T. V.. Andhra University; Indi

Isolation, speciation and antifungal susceptibility patterns of candida isolated from cases of chronic balanoposthitis

Background:Balanoposthitis is a common condition affecting 11% of male genitourinary clinic attendees and it can be a recurrent or persistent condition. Various predisposing factors like diabetes mellitus, sexual intercourse and usage of oral antibiotics can cause chronic balanoposthitis. The Objective of the study was to isolation and speciation of candida and their antifungal susceptibility patterns from the cases of chronic balanoposthitis.Methods: The study group comprised of swabs collected from 62 male patients with chronic balanoposthitis attending sexually transmitted diseases (STD) outpatient department (OPD), King George Hospital (KGH), Visakhapatnam. Standard mycological tests for the candida isolation, speciation and antifungal susceptibility were done.Results: Out of 62 samples, (85%) were culture positive for candida. The most common species isolated was C. parapsilosis (37.7%), followed by C. glabrata (28.3%), C. albicans (15.09%), C. dubliniensis (9.4%), C. krusei (7.5%) and C. tropicalis (1.88%). Most of the candida species showed sensitivity to amphotericin B, Nystatin, clotrimazole and ketoconazole. A relative resistance to fluconazole and itraconazole was observed.Conclusions: Chronic balanoposthitis is the most common infection in men attending STD, OPD. In the present study, diabetes is main predisposing factor than sexual intercourse and candida non albicans predominated over C. albicans. Resistance of candida species to azoles is on rise. This establishes the importance of determination of antifungal susceptibility patterns to prevent the emergence of drug resistance, prior to initiation of therapy.