Enhanced Trustworthy and High-Quality Information Retrieval System for Web Search Engines

The WWW is the most important source of information. But, there is no guarantee for information correctness and lots of conflicting information is retrieved by the search engines and the quality of provided information also varies from low quality to high quality. We provide enhanced trustworthiness in both specific (entity) and broad (content) queries in web searching. The filtering of trustworthiness is based on 5 factors – Provenance, Authority, Age, Popularity, and Related Links. The trustworthiness is calculated based on these 5 factors and it is stored thereby increasing the performance in retrieving trustworthy websites. The calculated trustworthiness is stored only for static websites. Quality is provided based on policies selected by the user. Quality based ranking of retrieved trusted information is provided using WIQA (Web Information Quality Assessment) Framework

PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes

<p>Abstract</p> <p>Background</p> <p>As more and more genomes are being sequenced, an overview of their genomic features and annotation of their functional elements, which control the expression of each gene or transcription unit of the genome, is a fundamental challenge in genomics and bioinformatics.</p> <p>Findings</p> <p>Relative stability of DNA sequence has been used to predict promoter regions in 913 microbial genomic sequences with GC-content ranging from 16.6% to 74.9%. Irrespective of the genome GC-content the relative stability based promoter prediction method has already been proven to be robust in terms of recall and precision. The predicted promoter regions for the 913 microbial genomes have been accumulated in a database called PromBase. Promoter search can be carried out in PromBase either by specifying the gene name or the genomic position. Each predicted promoter region has been assigned to a reliability class (low, medium, high, very high and highest) based on the difference between its average free energy and the downstream region. The recall and precision values for each class are shown graphically in PromBase. In addition, PromBase provides detailed information about base composition, CDS and CG/TA skews for each genome and various DNA sequence dependent structural properties (average free energy, curvature and bendability) in the vicinity of all annotated translation start sites (TLS).</p> <p>Conclusion</p> <p>PromBase is a database, which contains predicted promoter regions and detailed analysis of various genomic features for 913 microbial genomes. PromBase can serve as a valuable resource for comparative genomics study and help the experimentalist to rapidly access detailed information on various genomic features and putative promoter regions in any given genome. This database is freely accessible for academic and non- academic users via the worldwide web <url>http://nucleix.mbu.iisc.ernet.in/prombase/</url>.</p

Text Summarization and Translation of Summarized Outcome in French

Automatic text summarization is increasingly required with the exponential growth of unstructured text through increasing internet and social media usage across the globe. The various approaches are outcomes of extraction-based and abstraction-based. In Extraction-based summarization, the extracted content from the original data, is typically presented in the same or slightly modified form without significant paraphrasing or restructuring. Abstractive methods involve building an internal representation of the original content and then using that representation to generate a summary that may not be present in the original text verbatim. They employ natural language processing techniques, such as language generation models, to paraphrase and rephrase sections of the source document to create a more human-like summary. Abstraction in abstractive summarization is indeed a challenging task because it requires not only linguistic and syntactic understanding but also a deeper semantic understanding of the original content. The evaluation of automatically summarized text through criteria of precision and recall, and various evaluation methods, datasets used for domain based and generic text summarization. This paper proposes the Sentence Length Impact (SLI) algorithm to summarize English text content, which gives 92% accuracy and translating the same in French

Enhancement of protective vaccine-induced antibody titer to swine diseases and growth performance by Amino-Zn, yucca extract, and β-mannanase feed additive in wean-finishing pigs

The primary purpose of this research is to determine the effect of Amino-Zn (AZn), Yucca schidigera extract (YE), and β-mannanase enzyme supplementation on growth performance, nutrient digestibility, fecal gas emission, and immune response in pigs. A total of 180 crossbred pigs (6.57 ± 1 kg) were randomly assigned to one of three dietary treatments: CON-corn soybean meal (basal diet); TRT1-CON +1,000 ppm AZn + 0.07% yucca extract (YE) + 0.05% β-mannanase; and TRT2-CON +2,000 ppm AZn + 0.07% YE+ 0.05% β-mannanase for 22 weeks. Each treatment had 12 replicates with 5 pigs per pen. Pigs fed a diet supplemented with AZn, YE, and β-mannanase linearly increased (p &lt; 0.05) BW and average daily gain at weeks 6, 12, 17, and 18. In contrast, the gain-to-feed ratio showed a linear increase (p &lt; 0.05) from weeks 6 to 17 and the overall trial period. Moreover, the inclusion of experimental diets linearly decreased (p &gt; 0.05) noxious gas emissions such as ammonia, hydrogen sulfide, acetic acid, carbon dioxide, and methyl mercaptans. The dietary inclusion of AZn, YE, and β-mannanase significantly increased the serological immune responses to Mycoplasma hyopneumoniae (MH) and foot-and-mouth disease virus (FMDV-O type) at the end of week 6 and porcine circovirus-2 (PCV-2) at week 19. Based on this result, we infer that the combination of AZn, YE, and β-mannanase supplement would serve as a novel in-feed additive to enhance growth performance and act as a boosting agent and immune stimulatory to increase the efficacy of swine vaccinations

Relative stability of DNA as a generic criterion for promoter prediction: whole genome annotation of microbial genomes with varying nucleotide base composition

The rapid increase in genome sequence information has necessitated the annotation of their functional elements, particularly those occurring in the non-coding regions, in the genomic context. Promoter region is the key regulatory region, which enables the gene to be transcribed or repressed, but it is difficult to determine experimentally. Hence an in silico identification of promoters is crucial in order to guide experimental work and to pin point the key region that controls the transcription initiation of a gene. In this analysis, we demonstrate that while the promoter regions are in general less stable than the flanking regions, their average free energy varies depending on the GC composition of the flanking genomic sequence. We have therefore obtained a set of free energy threshold values, for genomic DNA with varying GC content and used them as generic criteria for predicting promoter regions in several microbial genomes, using an in-house developed tool `PromPredict'. On applying it to predict promoter regions corresponding to the 1144 and 612 experimentally validated TSSs in E. coli (50.8% GC) and B. subtilis (43.5% GC) sensitivity of 99% and 95% and precision values of 58% and 60%, respectively, were achieved. For the limited data set of 81 TSSs available for M. tuberculosis (65.6% GC) a sensitivity of 100% and precision of 49% was obtained

Insilico evaluation of pharmacological activities of Kalarchi Chooranam

The Indian traditional medicine practices such as siddha and ayurveda records various medicinal plants for the betterment of human health. Recent reports shows that this system of medicine has potential plants and formulation to treat various diseases and ailments. In the present study, we extracted and prepared the Kalarchi Chooranam of various ratios and chosen 4:1 ratio from our previous work. The aqueous extract of 4:1 ratio Kalarchi Chooranam was subjected to GCMS study and the compounds Inositol, Xanthosine (CAS), alpha.-D-Glucopyranoside, methyl 2,3-bis-O- were identified as lead 3 compounds. The Xanthosine (CAS), alpha.-D-Glucopyranoside, methyl 2,3-bis-O- have passed the drug likeness and ADME properties and further docked against various receptors involved in disease pathogenesis such as cancer (Bcl2, Bcl-X), PCOS (Cyp17, Follistatin), Inflammation &amp; Analgesic (Cox1, Cox2), and Diabetics &amp; Cardiovascular diseases (Er Alpha, Er Beta). The overall study reveals that the compounds have more binding affinities against the poly cystic ovarian syndrome receptors as the Xanthosine showed significant binding energies of -8.9 and -8.2 Kcal/mol and the Alpha.-D-Glucopyranoside, methyl 2,3-bis-O showed -8.2 and -9.7 Kcal/mol against CYP17 and Follistatin. The Kalarchi Chooranam has to be studied more reveal all its pharmacological activities

PROTEOMIC STUDY OF CARBAPENEM-RESISTANT K. PNEUMONIAE CLINICAL ISOLATES

Objective: Now it's a worldwide issue that carbapenem resistance is spreading. This has made K. pneumoniae infections more difficult to treat. All Klebsiella pneumonia's proteins were examined in this study, which focused on the carbapenem-resistant bacteria's response to meropenem. Materials and Methods: Proteomics (MALDI-TOF) and bioinformatics methods were combined to answer the new enigma of resistance. Functional annotation, pathway enrichment and protein–protein interaction were some of the uses of this data. Both KEGG and STRING played an important role (PPI). Results: Proteins that help synthesise DNA and RNA, proteins that aid in carbapenem degradation, and proteins that aid energy and intermediate metabolism are all subdivided into two classes. Conclusion: &nbsp;Bacterial survival and meropenem resistance may have been aided by four overexpressed proteins and their partners. A new anti-resistance medication based on these proteins could help restrict the growth of "bad bugs.

Affinity towards dolls in Helen Oyeyemi's Gingerbread: A transitional object

In Helen Oyeyemi's latest novel Gingerbread (2019), an object signifies transformation in adult life from a specific angle. The paper studies the transformational Object and its relation to the subject, primarily an ego transformation. Object-seeking, in the case of Perdita, a seventeen-year-old isolated girl, one of three generations of women in the novel, is the cause for the experience of an object transforming the subject's internal and external world. Linking the Object with the subject is the source of transformation. To expand the phenomenon, the unique analytic relationship with the Object is identified with the ego's state, discussed by Christopher Bolla's in his book The Shadow of the Object: Psychoanalysis of the unthought known. (2018