Identification of MHC Class II Binders/ Non-binders using Negative Selection Algorithm

The identification of major histocompatibility complex (MHC) class-II restricted peptides is an important goal in human immunological research leading to peptide based vaccine design. These MHC class–II peptides are predominantly recognized by CD4+ T-helper cells, which when turned on, have profound immune regulatory effects. Thus, prediction of such MHC class-II binding peptides is very helpful towards epitope-based vaccine design. HLA-DR proteins were found to be associated with autoimmune diseases e.g. HLA-DRB1*0401 with rheumatoid arthritis. It is important for the treatment of autoimmune diseases to determine which peptides bind to MHC class II molecules. The experimental methods for identification of these peptides are both time consuming and cost intensive. Therefore, computational methods have been found helpful in classifying these peptides as binders or non-binders. We have applied negative selection algorithm, an artificial immune system approach to predict MHC class–II binders and non-binders. For the evaluation of the NSA algorithm, five fold cross validation has been used and six MHC class–II alleles have been taken. The average area under ROC curve for HLA-DRB1*0301, DRB1*0401, DRB1*0701, DRB1*1101, DRB1*1501, DRB1*1301 have been found to be 0.75, 0.77, 0.71, 0.72, and 0.69, and 0.84 respectively indicating good predictive performance for the small training set

Bigger data for Big Data: from Twitter to brain-computer interface

We are sympathetic with Bentley et al’s attempt to encompass the wisdom of crowds in a generative model, but posit that success at using Big Data will include more sensitive measurements, more and more varied sources of information, as well as build from the indirect information available through technology, from ancillary technical features to data from brain-computer interface

Study on the Drying Characteristics of Green Gram, Cowpea and Soybean

The study reveals the drying characteristics of Green gram, Cowpea and Soybean when exposed to two different drying mechanisms namely convective (i.e., Tray Drying) and a innovative method (i.e., microwave drying). The objective of the study is to come out with a most appropriate drying technique which gives the product a better keeping quality. In this study the drying characteristics i.e the amount of moisture removed for every 10min is calculated at different temperatures for the respective samples. The sample was dried in tray dryer and microwave at two temperatures

A COMPARATIVE CLINICAL STUDY OF BILVA MAJJA CHURNA AND KUSTUMBARI KALKA IN GARBHINI CHARDI W.S.R.TO EMESIS GRAVIDARUM

Pregnancy is a dynamic state, during this period a lot of physiological and hormonal changes take place. These hormonal changes produce different kind of major to minor abnormalities in the pregnant women. Minor disorders are nausea, vomiting, constipation, gastric irritation, hemorrhoids, low back pain etc. Garbhini chardi (nausea and vomiting in pregnancy) is foremost common ailment encountered in clinical practice. If this nausea and vomiting are present in excess then it is called as emesis gravidarum. If not tackled effectively before or in time it may affect woman’s quality of life. The present study is taken up to evaluate clinically the effect of Bilva majja churna with Lajambu (Group-A), and Kustumbari kalka with Tandulodaka mixed with Sharkara (Group-B) and to compare the effect of both groups (15 in each group) of diagnosed patients of Garbhini chardi. Study revealed statistically extremely significant improvement was observed in both groups but on comparing the symptomatic improvement of both groups, it was found that average percentage of relief was higher in Group-A i.e. 71.66%, followed by Group-B i.e., 60.39%. It shows that Bilva majja churna with Lajambu is comparatively better to cure Garbhini chardi than Kustumbari kalka with Tandulodaka mixed with Sharkara

Impedance Analysis for Oxygen Reduction in a Lithium Carbonate Melt

Oxygen reduction on a smooth gold electrode in a pure lithium carbonate melt was investigated by electrochemical impedance spectroscopy and cyclic voltammetry. The impedance data were analyzed using the Randles-Ershler equivalent circuit to determine parameters such as the charge-transfer resistance, Warburg coefficient, double-layer capacity, and uncompensated electrolyte resistance. The parameters estimated by complex plane plots and a complex nonlinear least squares method are in good agreement. Cyclic voltammetric measurements showed that oxygen reduction in a lithium carbonate melt is very rapid. A mass transfer parameter, DC0, estimated by the cyclic voltammetry concurred withthat calculated by the electrochemical impedance spectroscopy technique. The temperature dependences of the exchange current density and the product DC0 were examined, and the apparent activation energies were determined to be 121.7 ± 24.4 and 181.0 ± 7.0 kJ/mol, respectively

Impedance Analysis for Oxygen Reduction in a Lithium Carbonate Melt: Effects of Partial Pressure of Carbon Dioxide and Temperature

Effects of partial pressure of carbon dioxide and temperature on oxygen reduction kinetics on a gold electrode in a lithium carbonate melt were examined using electrochemical impedance spectroscopic (EIS) and linear sweep voltammetric techniques. The impedance spectra were analyzed by a complex nonlinear least squares method, using the Randles-Ershler equivalent circuit model, to determine the electrode-kinetic and the mass-transfer parameters such as the charge-transfer resistance and the Warburg coefficient. The cyclic voltammetric measurements indicated that the oxygen reduction process in lithium carbonate melt is reversible up to 200 mV/s. The product DC0 determined by cyclic voltammetry agreed well with those estimated by the EIS method. The reaction order with respect to carbon dioxide and the activation energy for the exchange current density were determined to be –0.52 and 132 kJ/mol, respectively. Also, the reaction order with respect to carbon dioxide and the activation energy for DC0 were calculated to be –0.8 and 185kJ/mol, respectively

Prediction Evaluation of Gene Ontology Using Support Vector Machine

The present state of sequenced programs requires the assignment of gene product functions in a timely, accurate and trustworthy manner. Many approaches to large-scale label designs have been developed. On the other hand, these approaches can only be used on a limited number of sub-sets. Their conclusions are not formalized. On the other hand, such approaches can only be used on a limited number of subsets, as their conclusions are not standardized. Annotation was supplied using Gene Ontology (GO) or categorization of valid or incorrect prediction using Support Vector Machines (SVM). A large database was used to assess the system's overall effectiveness. Reliability prediction was cross-validated organization by organization, yielding an average accuracy of 74% of all test cycles and 80%. The verification results revealed that the predictive efficacy was not dependent on the micro-organism because it could duplicate the high-quality automatic manual annotation. We used our trained categorization method to annotate Xenopuslaevis sequences, and greater than half of the known expressed genome was functionally annotated. We gave more than double the number of contigs with excellent annotations of high brightness compared to the already accessible annotations, and we also allocated a confidence score to each anticipated Gene Ontology (GO)

Electrode Kinetics of Oxygen Reduction in Lithium Carbonate Melt: Use of Impedance Analysis and Cyclic Voltammetric Techniques to Determine the Effects of Partial Pressure of Oxygen

The effects of the partial pressure of oxygen and temperature on the oxygen reduction on a submerged gold electrode in a lithium carbonate melt were investigated using cyclic voltammetry and impedance analysis. The values for the mass-transfer parameters, DCO, obtained from cyclic voltammetry and impedance analysis were in good agreement. The reaction orders for oxygen at 800°C were calculated to be about 0.3 for the exchange current density and 0.5 for the product DCO; these values are consistent with the mechanism proposed in the literature for oxygen reduction in Li2CO3 melt

Association Analysis of SSR Markers with Phenology, Grain, and Stover-Yield Related Traits in Pearl Millet (Pennisetum glaucum (L.) R. Br.)

Pearl millet is a staple food crop for millions of people living in the arid and semi-arid tropics. Molecular markers have been used to identify genomic regions linked to traits of interest by conventional QTL mapping and association analysis. Phenotypic recurrent selection is known to increase frequencies of favorable alleles and decrease those unfavorable for the traits under selection. This study was undertaken (i) to quantify the response to recurrent selection for phenotypic traits during breeding of the pearl millet open-pollinated cultivar “CO (Cu) 9” and its four immediate progenitor populations and (ii) to assess the ability of simple sequence repeat (SSR) marker alleles to identify genomic regions linked to grain and stover yield-related traits in these populations by association analysis. A total of 159 SSR alleles were detected across 34 selected single-copy SSR loci. SSR marker data revealed presence of subpopulations. Association analysis identified genomic regions associated with flowering time located on linkage group (LG) 6 and plant height on LG4, LG6, and LG7. Marker alleles on LG6 were associated with stover yield, and those on LG7 were associated with grain yield. Findings of this study would give an opportunity to develop marker-assisted recurrent selection (MARS) or marker-assisted population improvement (MAPI) strategies to increase the rate of gain for pearl millet populations undergoing recurrent selection

Global Variations in Practices After Bariatric and Metabolic Surgery; the PARTNER study.

Background: With over 1 billion individuals affected globally, obesity and obesity related diseases is now a leading cause of death. Metabolic and bariatric surgery (MBS) has emerged as a cornerstone intervention for severe obesity and its associated comorbidities. Despite its efficacy, postoperative care and follow-up after MBS remains highly variable worldwide.Objective: The PARTNER study aimed to evaluate global clinical practices in the postoperative management following MBS by surveying multidisciplinary healthcare professionals.Methods: This study was an international online survey conducted between October 2024 and January 2025. A multidisciplinary team developed the questionnaire based on existing literature and international guidelines. The survey assessed five domains: follow-up care, postoperative treatment, dietary management, patient support, and measurement of surgical outcomes. Responses were analysed descriptively.Results: A total of 262 responses were received from 62 countries. Most respondents were bariatric surgeons (72.1%) working in public healthcare systems (73.3%). While 78.7% reported conducting three-month postoperative reviews, only 23.7% offered indefinite follow-up. Hybrid models of care (virtual and in-person) were common (56.9%). VTE prophylaxis and postoperative PPI use were recommended by 64.1% and 84.3% respectively. Nearly all respondents (98.1%) provided dietary advice, with protein and micronutrient supplementation widely endorsed. Only 56.1% routinely referred patients for psychological follow-up. Definitions of surgical success and failure varied widely, with inconsistent objective outcome measures.Conclusion: The PARTNER study reveals significant international variation in postoperative management practices following MBS. These findings underscore the need for more standardized, evidence-based guidelines to improve long-term outcomes and equity of care worldwide.<br/