Effect of Fibonacci Modulation On Superconductivity

We have studied finite-sized single band models with short range pairing interactions between electrons in presence of diagonal Fibonacci modulation in one dimension. Two models, namely the attractive Hubbard model and the Penson-Kolb model, have been investigated at half-filling at zero temperature by solving the Bogoliubov-de Gennes equations in real space within a mean field approximation. The competition between ``disorder'' and the pairing interaction leads to a suppression of superconductivity (of usual pairs with zero centre-of-mass momenta) in the strong-coupling limit while an enhancement of the pairing correlation is observed in the weak-coupling regime for both the models. However, the dissimilarity of the pairing mechanisms in these two models brings about notable difference in the results. The extent to which the bond ordered wave and the $\eta$-paired (of pairs with centre-of-mass momenta = $\pi$) phases of the Penson-Kolb model are affected by the disorder has also been studied in the present calculation. Some finite size effects are also identified.Comment: 14 pages, 13 figure

Breast Tumor Recognition by Semantic Segmentation of Multiclass Ultrasound Images

Objectives: The main purpose of this paper is to suggest a semantic segmentation model to reduce training time in ultrasound breast cancer images. This is achieved by employing a smaller network with fewer trainable parameters, resulting in faster training while maintaining maximum accuracy. Methods: This paper proposes a modified U-Net model, which we call the V model, for the subdivision of breast tumors. The proposed V architecture is applied explicitly to ultrasound breast cancer datasets for semantic segmentation. Our proposed model achieves semantic segmentation by employing an encoder and decoder on real and mask image datasets. Findings: Therefore, developing a proposed system, namely a V-Net computer-aided diagnosis (CAD) system, is imperative. This CAD system aims to minimize human errors while enhancing accuracy and speed in the premature finding of breast tumors. The proposed model utilizes minimal layers and parameters while maintaining superior results regarding correctness, speed, and computational proficiency. Novelty: The proposed V-net model applies to analysing any medical image for detecting disease and finding more accuracy than other U-net models

Immunopharmacological activity of flavonoids from Lemna minor (Duckweed) and determined its immunological activity

The main objective of our study is to conduct its immunopharmacological activity using flavonoids extracted from whole plant of Lemna minor (duckweed), medicinal plant in virally infected human whole blood against ovalbumin (OVA), specific protein antigen. For these studies, isolated secondary metabolite i.e. flavonoid from whole plant of duckweed and evaluated its immunopharmacological activity of flavonoid using variable concentration (i.e. 1-30 mg/ml; 50 µl) on infected human whole blood samples and determine its proliferation assay containing OVA and estimation of free haemoglobin content in blood plasma. In addition, antibody production was also estimated against OVA using Elisa method. The results of these studies showed that these flavonoids at higher doses showed immunosuppressive effect because of decline in proliferation, free haemoglobin content in the blood plasma and antibody production. Overall, this study claimed that these flavonoids from duckweed showed immunosuppressive activity against OVA

ASSESSMENT OF DEPRESSION AMONG MEDICAL STUDENTS OF PRIVATE UNIVERSITY IN BHOPAL, INDIA

ABSTRACT Introduction: Medical students repeatedly experience different stresses which render them more vulnerable to psychological problems that may affect their emotional, psychosocial and physical health. Objectives of the study were to determine the prevalence of depression and associated factors leading to depression among medical students at People's University

A study to investigate the prevalence of metabolic syndrome in Chronic Obstructive Pulmonary Disease patients from North India

Background: Worldwide, Chronic obstructive pulmonary disease (COPD) is the one of the leading cause of chronic morbidity and mortality. COPD is one of the diseases in which smoking is the common and important risk factor when it is associated with Metabolic syndrome (MetS). The individual components of MetS, i.e., obesity, dyslipidemia, fasting hyperglycaemia, and hypertension were independently associated with impairment of lung function too. The objective of this study is to find out the prevalence of metabolic syndrome among COPD patients.Methods: This was a cross-sectional study conducted in department of Respiratory Diseases and a total of 70 COPD patients were included in the study, which were enrolled for treatment from July 2016 to July 2017. The severity level in patients with COPD were determined according to GOLD (Global Initiative for Chronic Obstructive Lung Disease), 2015 guideline. International Diabetes Federation (IDF) guideline; (2005) was used in diagnosis of metabolic syndrome.Results: Seventy patients with COPD were enrolled during the study period. There were 45 males (64.2%) and 25(35.7%) females. Mean age of male patients was 58.67±9.87 years, while mean age of female patients was 57.23±10.4 years (35-87 years). Mean BMI of male was 24.33±6.64 kg/m2, while in case of female it was 30.07±6.95 kg/m2 and overall mean BMI of study population was 26.22±7.22 kg/m2. The mean   waist circumference of male was 86.91±13.31 cm while in female it was 87.18±14.51 cm. The Overall prevalence of metabolic syndrome was 31.34% and most common in GOLD stage-3 (47.06%), followed by stage-2 (40%), followed by stage-4 (25.71%) and 7.4 % in GOLD stage -1.Conclusions: The presence of metabolic syndrome is common in patients with COPD and, all COPD patients should be considered for screening for it

Kinetic Characterization and Partial Purification of Peroxidase in Eucalyptus F1 Hybrids

A differential pattern of peroxidase (E.C. 1.1.11.7) has been observed in reciprocal F1 hybrids of Eucalyptus (FRI-4 and FRI-5) produced using parental combination of E. tereticornis and E. camaldulensis. The hybrids were characterized for the qualitative, kinetic parameters (total and specific activity, units, Km and Vmax) and partial purification of peroxidase. The qualitative study showed the presence of high molecular weight peroxidase isoforms i.e. 260 KD, 250 KD and 110KD bands. A strong maternal inheritance was observed for 260 KD loci in FRI-5. Kinetic characterization of peroxidase revealed that F1 genotypes had efficient peroxidase system over their parental combination resulting in 8 -10 times more heterotic vigour. The FRI-5 genotypes were found to be having efficient peroxidase system with lowest Km values (0.12mM-0.17mM) and higher Vmax values ranging from 0.07-0.14mM min-1mg prot-1. The study revealed the role of maternal inheritance and was found that better genotypes are produced when superior parents are used as seed parent. The results suggest the efficient use of peroxidase marker for the identification of the better genotypes in forest tree species. &nbsp

Analysis of margin classification systems for assessing the risk of local recurrence after soft tissue sarcoma resection

Purpose: To compare the ability of margin classification systems to determine local recurrence (LR) risk after soft tissue sarcoma (STS) resection. Methods: Two thousand two hundred seventeen patients with nonmetastatic extremity and truncal STS treated with surgical resection and multidisciplinary consideration of perioperative radiotherapy were retrospectively reviewed. Margins were coded by residual tumor (R) classification (in which microscopic tumor at inked margin defines R1), the R+1mm classification (in which microscopic tumor within 1 mm of ink defines R1), and the Toronto Margin Context Classification (TMCC; in which positive margins are separated into planned close but positive at critical structures, positive after whoops re-excision, and inadvertent positive margins). Multivariate competing risk regression models were created. Results: By R classification, LR rates at 10-year follow-up were 8%, 21%, and 44% in R0, R1, and R2, respectively. R+1mm classification resulted in increased R1 margins (726 v 278, P < .001), but led to decreased LR for R1 margins without changing R0 LR; for R0, the 10-year LR rate was 8% (range, 7% to 10%); for R1, the 10-year LR rate was 12% (10% to 15%) . The TMCC also showed various LR rates among its tiers (P < .001). LR rates for positive margins on critical structures were not different from R0 at 10 years (11% v 8%, P = .18), whereas inadvertent positive margins had high LR (5-year, 28% [95% CI, 19% to 37%]; 10-year, 35% [95% CI, 25% to 46%]; P < .001). Conclusion: The R classification identified three distinct risk levels for LR in STS. An R+1mm classification reduced LR differences between R1 and R0, suggesting that a negative but < 1-mm margin may be adequate with multidisciplinary treatment. The TMCC provides additional stratification of positive margins that may aid in surgical planning and patient education

Quantitative Determination and Source Variation of Rutin in Fagopyrum Tataricum

Buckwheat (Fagopyrum sp.) is a traditional crop of Uttarakhand (India) known for its high Rutin content, a bioflavonoid with significant medicinal properties. This study explores the quantitative measurement of Rutin in various buckwheat varieties grown in different regions of Uttarakhand using Thin Layer Chromatography (TLC) and High-Performance Thin Layer Chromatography (HPTLC). Twelve seed sources of Fagopyrum tataricum from the Garhwal and Kumaon regions, along with Fagopyrum esculentum seeds for comparison, were collected. Preliminary phytochemical screening of the extracts revealed the presence of flavonoids, alkaloids, tannins, and carbohydrates, with methanolic extracts showing higher concentrations. TLC analysis was employed to determine the most effective solvent system for Rutin separation, leading to the identification of three samples with substantial Rutin content. HPTLC was then used for quantitative Rutin assessment, with a calibration curve established using standard Rutin solutions. The three selected samples, along with the standard, were applied to HPTLC plates, and the Rutin content was measured based on peak areas and peak heights. The sample collected from Joshimath, Uttarakhand, known as "JOG," exhibited the highest Rutin content. This study provides valuable insights into the phytochemical composition of buckwheat varieties in Uttarakhand, which can inform the development of high-quality functional foods. Rutin, a potent antioxidant with various health benefits, underscores the significance of buckwheat as a naturally occurring functional food source. The results contribute to understanding the Rutin-rich potential of buckwheat grown in Uttarakhand and its applications in functional foods and nutraceuticals. Further research in this field can promote the cultivation and utilization of buckwheat as a source of this valuable bioactive compound with numerous health benefits