Realiability Assessment Model to Estimate Quality of the Effective E-Procurement Process in Adoption

The development of reliable software is based on design artifacts and its parameters. Maintain of high reliability require further study based on reliability analysis techniques and approaches that are applicable to software development process. This paper introduces a new reliability assessment model which applicable to high-level designs. The design stage is most important for software development. The multiple linear regression techniques are used to develop the reliability assessment model. &nbsp

Integrity Estimation Model: Fault Perspective

An integrity estimation model for object oriented design fault perspective has been proposed in this paper. Integrity has been recognized as a major factor to software security, an importance is being drawn to measure integrity early in development life cycle. No such model has been available in the literature that estimates security of object oriented design by taking fault parameters into consideration. A suit of design metrics useful in measuring integrity of software has been recognized. It becomes more significant in the case of object oriented design fault perspective. In this study a metrics based Integrity Estimation Model (IEMOODF) for object oriented design has been developed and justifying the correlation with the help of experimental tryouts. Finally the developed model ?Integrity Estimation Model? is empirically validated and contextual importance of the study shows the high correlation for proposed model acceptance

Assessment of Water Quality using Machine Learning and Fuzzy Techniques

The water quality of river Ganga is an important concern due to its drinking, domestic uses, irrigation and also for aquatic life. But the extent of pollutants in river water has deteriorated the quality of river water. So, the assessment of river water becomes very important. But due to the involved subjectivity and uncertainty in the decision making parameter makes the task very complex. In this study, machine learning and fuzzy techniques are utilized to develop the river water quality assessment models. The quality of the water is grouped into three classes. Four machine learning algorithms namely decision tree, random forest tree, k-nearest neighbor and support vector machine are used and implemented on python and anaconda platform. Whereas, three fuzzy based models (fuzzy decision tree, wang-mendel and fast prototyping) are developed using Guaje open source software. All the seven models are analyzed in terms of accuracy, precision, recall and f1-score. The observed result shows that the fuzzy decision tree-based assessment model performs more accurately as compared with the machine learning based models

EFFECT OF Staphylococcus epidermidis ON Pseudomonas aeruginosa BIOFILM IN MIXED-SPECIES CULTURE

Staphylococcus epidermidis and Pseudomonas aeruginosa, are clinically relevant pathogens that often produce biofilms. To investigate the co-survivability of S. epidermidis and P. aeruginosa in mixed cultures biofilm and planktonic form, it is important to understand more about the interspecies interaction of both species. The interspecies interaction was analyzed using streak and drop agar plate assay, cell viability assay (CFU), spectrophotometry-based method, and microscopic analysis. The findings suggest that both cells and supernatant of P. aeruginosa inhibit the planktonic growth of S. epidermidis. The cell viability result shows that PAO1 biofilm cells were decreased by 88%, and SE biofilm cells were increased by 75% concerning their control. Opposite to the P. aeruginosa, the S. epidermidis biofilm and EPS matrix were found to increase in mixed culture biofilm, which was further confirmed by microscopic analysis. In contrast, differential agar media result shows that the reduction in the biofilm (CFU/ml) of P. aeruginosa is independent of S. epidermidis cells concentration. Finally, the effect of the supernatant on biofilm was investigated, and it found that S. epidermidis biofilm was enhanced while P. aeruginosa biofilm was reduced in the presence of partner bacterial supernatant, which indicated that S. epidermidis in biofilm mode could hinder the biofilm formation of P. aeruginosa. The outcomes show that the culture supernatant of S. epidermidis can be used to prevent P. aeruginosa associated biofilm infections

Accuracy of MR Imaging in endometrial cancer: our experience

Background: MRI is a useful modality for preoperative imaging in endometrial cancer. We report our experience in Indian population managed at a tertiary care center regarding accuracy of preoperative MRI in prediction of deep myometrial invasion and cervical stromal invasion.Methods: 30 patients with endometrioid adenocarcinoma endometrium on endometrial biopsy underwent preoperative MRI in the week preceding surgery. MRI impression of depth of myometrial invasion, cervical stroma involvement and positive nodes were compared with final histopathology findings to calculate the accuracy of MRI.Results: The accuracy of MRI for estimation of tumour size was 72% and for detection of myometrial invasion was 76%. The accuracy for detection of cervical, adnexal and nodal involvement was 96%, 100% and 96% respectively.Conclusions: MRI is an accurate modality for preoperative assessment in endometrial cancer and can significantly assist in surgical planning

Study of Curing Kinetics and Thermal Degradation of UV Curable Epoxy Acrylate Resin

Blends of epoxy acrylate resins (acid values 3, 6.5 & 10 mg KOH/gm Solid) with monofunctional monomers (ethoxylated phenol monoacrylate) were prepared by physical mixing, having weight ratio 50:50. These blends were cured by using UV radiations in presence of photo initiator (Darocure 1173). The thermal degradation kinetics of these resin blends were studied, using thermo gravimetric analysis in nitrogen atmosphere at a heating rate of 10°C/min. by applying Coats-Red fern equation. According to the analysis, all the coating films degrade in two steps. In the first step of degradation kinetics, R2M follows 1.75 order (n=1.75) and all other coating films follow second order (n=2) kinetics. In second step, R2M & R3M follow half order (n=0.5) kinetics and R1M follow first order (n=1) degradation kinetics. Order of the reaction is obtained on the basis of best fit analysis, and all the parameters were confirmed by regression analysis. From the reaction order, value of activation energy (E) and pre exponential factor (Z) were calculated by the slop and intercept of the plot between X and Y, respectively

A study of thrombocytopenia in malaria and its prognostic significance

Background:Malaria is one of the most common infectious diseases of tropics, affecting 300-500 million people and causing over 1 million deaths each year in the world. Malaria is a multisystem infection and can be associated with many complications. Thrombocytopenia is the most common hematological complication of malaria, but association of thrombocytopenia with different types of malaria and its prognostic implications in context with severity of low platelet count has not been evaluated in many of previous studies. Objectives of the study was to study the incidence, correlation of severity and prognostic significance of thrombocytopenia in malaria.Methods: A total of 100 cases were included in the study and identified positive for malaria parasites on peripheral smear examination with conventional microscopy and /or by rapid diagnostic test.Results: Present study includes 100 patient with malaria from which 78% were males and 22% were females. Most of the patients were suffering from P. vivax malaria (65%), and rest suffered from P. falciparum malaria (32%) and mixed infection (03%). Incidence of thrombocytopenia was 79%, of which mild, moderate and severe thrombocytopenia was 35.44%, 41.77% and 22.78% respectively. Complicated and uncomplicated malaria cases were 22.79% and 77.21% respectively.Conclusion: Clinical bleeding in severe malaria is not a common feature and occurred in 5.5% of individuals with severe disease. Unnecessary platelet transfusion is not required for mild to moderate degree of thrombocytopenia in malaria patients which further avoids an unnecessary cost burden in the poor group of patients.

Investigating the Star-forming Sites in the Outer Galactic Arm

We aim to investigate the global star formation scenario in star-forming sites AFGL 5157, [FSR2007] 0807 (hereafter FSR0807), [HKS2019] E70 (hereafter E70), [KPS2012] MWSC 0620 (hereafter KPS0620), and IRAS 05331+3115 in the outer galactic arm. The distribution of young stellar objects in these sites coincides with a higher extinction and H2 column density, which agrees with the notion that star formation occurs inside the dense molecular cloud cores. We have found two molecular structures at different velocities in this direction; one contains AFGL 5157 and FSR0807, and the other contains E70, [KPS2012] MWSC 0620, and IRAS 05331+3115. All these clusters in our target region are in different evolutionary stages and might form stars through different mechanisms. The E70 cluster seems to be the oldest in our sample; AFGL 5157 and FSR0807 formed later, and KPS0620 and IRAS 05331+3115 are the youngest sites. AFGL 5157 and FSR0807 are physically connected and have cold filamentary structures and dense hub regions. Additionally, the near-infrared photometric analysis shows signatures of massive star formation in these sites. KPS0620 also seems to have cold filamentary structures with the central hub but lacks signatures of massive stars. Our analysis suggests molecular gas flow and the hub filamentary star formation scenario in these regions. IRAS 05331+3115 is a single clump of molecular gas favoring low-mass star formation. Our study suggests that the selected area is a menagerie of star-forming sites where the formation of the stars happens through different processes.Comment: 19 pages, 13 figures, and 3 tables; Accepted for publication in A

Topical corticosteroid therapy: clobetasol propionate 0.025%

Topical corticosteroids have been the cornerstone of treatment over the last six decades for various dermatoses characterized by dry, scaly, crusted, or erythematous skin as well as those associated with inflammation and pruritus. The potency of a topical steroid depends on the specific molecule, the amount of drug reaching the target, absorption through the skin (0.25%–3%), and the formulation. Clobetasol propionate (CP) 0.025% cream formulation is a potent, fifth-generation topical corticosteroid. It is approved by the United States Food and Drug Administration to be applied twice daily for the treatment of moderate-to–severe psoriasis in adults. This case series covers the clinical experience of various dermatologists, including their expert opinion on the safety and efficacy of ImpoyzTM (CP) cream 0.025% in different skin disorders

Exploring the implications of modified advanced lung cancer inflammation index on outcomes in patients with advanced non-small cell lung cancer

Aim: Sarcopenia and skeletal muscle density (SMD) have been shown to be both predictive and prognostic marker in oncology. Advanced lung cancer inflammation index (ALI) has been shown to predict overall survival (OS) in small cell lung cancer (SCLC). Computed tomography (CT) enables skeletal muscle to be quantified, whereas body mass index (BMI) cannot accurately reflect body composition. The purpose was to evaluate the prognostic value of modified ALI (mALI) using CT-determined third lumbar vertebra (L3) muscle index beyond original ALI and see the interaction between sarcopenia, SMD, neutrophil-lymphocyte ratio (NLR), ALI and mALI at baseline and post 4 cycles of chemotherapy and their effects on OS and progress free survival (PFS) in patients with advanced non-SCLC (NSCLC). Methods: This retrospective study consisted of a total of 285 advanced NSCLC patients. The morphometric parameters such as SMD, skeletal muscle index (SMI) and fat-free mass (FFM) were measured by CT at the L3 vertebra. ALI was defined as BMI × serum albumin/NLR and mALI was defined as SMI × serum albumin/NLR. Results: Sarcopenia was observed in over 70% of patients across all BMI categories. Patients having sarcopenia suffered from a higher incidence of chemotherapeutic drug toxicities but this was not found to be statistically significant. Concordance was seen between ALI and mALI in the pre-treatment setting and this was statistically significant. A significant proportion of patients with poor ALI (90.9%), poor pre-chemotherapy mALI (91.3%) and poor post-chemotherapy mALI (89%) had poor NLR and each of them was statistically significant. Conclusions: In both univariate and multivariate analyses, this study demonstrated the statistical significance of sarcopenia, SMD, and mALI as predictive factors for OS. Additionally, sarcopenia and SMD were also found to be statistically significant factors in predicting PFS. These biomarkers could potentially help triage patients for active nutritional intervention for better outcomes