PARTICLE VELOCITY MEASUREMENT BY HOLOGRAPHY

A double pulsed holography was used to measure the particle velocity and velocity distribution. Semiautomatic technique has been developed at the Department of Physics, Technical University Budapest and used to evaluate the hologram. The velocity of the particle at all points in the sample volume can be measured with high accuracy

A RETROSPECTIVE STUDY TO EVALUATE THE EFFICACY OF INJECTION AUGMENTIN IN COVID-19 PATIENTS WITH PNEUMONIA AT A TERTIARY CARE TEACHING HOSPITAL, TELANGANA

Objective: Coronavirus is a single-stranded, enveloped, positive-sense RNA virus. It is responsible for the acute respiratory syndrome (SARS) and the disease is named COVID-19 by WHO. It is also called SARS-CoV-2. Pneumonia is one of the complications of COVID-19 disease. Patients with pneumonia admitted to General Hospital were treated with Augmentin. Augmentin is a broad-spectrum antibacterial that has been available for clinical use in a wide range of indications for over 20 y and is now used primarily in the treatment of respiratory tract infections. The main objective of our study is to evaluate the efficacy of Augmentin in COVID-19 patients with pneumonia in terms of beneficial effects after treatment. Methods: The present study was a retrospective, observational, record-based study of the case sheets of COVID-19 patients with pneumonia. The statistical analysis was done using paired t-test. Results: In our institution COVID-19 patients with pneumonia were treated with Tablet FAVIRAPIR and Injection AUGMENTIN. The results were calculated using paired t-test and the P-value was<0.0001, which is significant as it is less than 0.05. Therefore, the post-treatment outcome results showed a significant improvement in disease reduction. Conclusion: The study concludes that the empirical treatment of COVID-19 patients with pneumonia using an appropriate antibiotic reduces further deterioration of patients with pneumonia due to complications and also protects the patients from acquired infections during the hospital stay

Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts

Historical palm-leaf manuscript and early paper documents from Indian subcontinent form an important part of the world's literary and cultural heritage. Despite their importance, large-scale annotated Indic manuscript image datasets do not exist. To address this deficiency, we introduce Indiscapes, the first ever dataset with multi-regional layout annotations for historical Indic manuscripts. To address the challenge of large diversity in scripts and presence of dense, irregular layout elements (e.g. text lines, pictures, multiple documents per image), we adapt a Fully Convolutional Deep Neural Network architecture for fully automatic, instance-level spatial layout parsing of manuscript images. We demonstrate the effectiveness of proposed architecture on images from the Indiscapes dataset. For annotation flexibility and keeping the non-technical nature of domain experts in mind, we also contribute a custom, web-based GUI annotation tool and a dashboard-style analytics portal. Overall, our contributions set the stage for enabling downstream applications such as OCR and word-spotting in historical Indic manuscripts at scale.Comment: Oral presentation at International Conference on Document Analysis and Recognition (ICDAR) - 2019. For dataset, pre-trained networks and additional details, visit project page at http://ihdia.iiit.ac.in

Conformational Dynamics of metallo-β-lactamase CcrA during Catalysis Investigated by Using DEER Spectroscopy

Previous crystallographic and mutagenesis studies have implicated the role of a position-conserved hairpin loop in the metallo-β-lactamases in substrate binding and catalysis. In an effort to probe the motion of that loop during catalysis, rapid-freeze-quench double electron–electron resonance (RFQ-DEER) spectroscopy was used to interrogate metallo-β-lactamase CcrA, which had a spin label at position 49 on the loop and spin labels (at positions 82, 126, or 233) 20–35 Å away from residue 49, during catalysis. At 10 ms after mixing, the DEER spectra show distance increases of 7, 10, and 13 Å between the spin label at position 49 and the spin labels at positions 82, 126, and 233, respectively. In contrast to previous hypotheses, these data suggest that the loop moves nearly 10 Å away from the metal center during catalysis and that the loop does not clamp down on the substrate during catalysis. This study demonstrates that loop motion during catalysis can be interrogated on the millisecond time scale

NONLINEAR MIXED MODELS TO EVALUATE EFFECTS OF ENVIRONMENT CONDITIONS, HAIR COAT, AND ANCHOR LENGTH ON BODY TEMPERATURE DURING AFTERNOON MILKING OF HOLSTEIN COWS IN HAWAII

A hot thermal environment is one factor that causes loss of activity, productivity and even death in cows. One reason may be the effect of hair coat (black or white) on body temperature during different activities and environment conditions. In this study, we attempt to characterize the relationship between body temperature over time using activity, physiological and environmental effects with a nonlinear regression model. The fixed and mixed versions of models are examined. We also examine the effect of the measuring device, anchor length (long or short). Environmental effects, such as, air temperature, thermal heat index (THI), relative humidity, solar radiation, and wind speed, For PM Milking activity, differences in hair coat and anchor length tested as treatment effects. We present a detailed approach focusing on the rate of change in animal body temperature using the nonlinear regression model and investigate how the dynamics between the random-effects changes

A cross-sectional, questionnaire-based study on knowledge, attitude, and practice of pharmacovigilance among post-graduates at a tertiary care teaching hospital, Telangana

Background: Pharmacovigilance is the process of drug safety monitoring that improves patients' quality of life through the collection and analysis of Adverse Drug Reactions (ADRs). In our state, most of the ADRs are reported by a spontaneous reporting system of individual cases from health care professionals to Adverse Drug Reaction Monitoring Centre (AMC) under the Pharmacovigilance Programme of India (PvPI). Post-graduates (PGs) play a vital role in reporting ADRs as they are in personal evidence with all events after drug administration. The main objective of our study is to evaluate the Knowledge, Attitude, and Practice of Pharmacovigilance among post-graduates.Methods: The present study was a cross-sectional questionnaire-based study on knowledge, attitude, and practice (KAP) of Pharmacovigilance among 150 post-graduates at a tertiary care teaching hospital, Telangana. The statistical analysis was done using Statistical Package for Social Sciences (SPSS) version 25 software.Results: The results showed that there is relatively less knowledge among postgraduates. Attitude and practice-based questions evidenced a paradigm shift towards the construction of an organized Pharmacovigilance system. This study also highlights the under-reporting and the interventions needed to improve spontaneous reporting of ADRs.Conclusions: The knowledge of Pharmacovigilance with a positive attitude and practice among post-graduates is essential for reporting ADRs and reducing under-reporting.ng

BIG DATA ANALYTICS IN PHARMACOVIGILANCE - A GLOBAL TREND

Big data analysis has enhanced its demand nowadays in various sectors of health-care including pharmacovigilance. The exact definition of big data is not known to many people though it is routinely used by them. Big data refer to immense and voluminous computerized medical information which are obtained from electronic health records, administrative data, registries related to disease, drug monitoring, etc. This data are usually collected from doctors and pharmacists in a health-care facility. Analysis of big data in pharmacovigilance is useful for early raising of safety alerts, line listing them for signal detection of drugs and vaccines, and also for their validation. The present paper is intended to discuss big data analytics in pharmacovigilance focusing on global prospect and domestic country-India

Dilution of Dipolar Interactions in a Spin-labeled, Multimeric Metalloenzyme for DEER Studies

The metallo-β-lactamases (MβLs), which require one or two Zn(II) ions in their active sites for activity, hydrolyze the amide bond in β-lactam-containing antibiotics, and render the antibiotics inactive. All known MβLs contain a mobile element near their active sites, and these mobile elements have been implicated in the catalytic mechanisms of these enzymes. However little is known about the dynamics of these elements. In this study, we prepared a site-specific, double spin-labeled analog of homotetrameric MβL L1 with spin labels at positions 163 and 286 and analyzed the sample with DEER (double electron electron resonance) spectroscopy. Four unique distances were observed in the DEER distance distribution, and these distances were assigned to the desired intramolecular dipolar coupling (between spin labels at positions 163 and 286 in one subunit) and to intermolecular dipolar couplings. To rid the spin-labeled analog of L1 of the intermolecular couplings, spin-labeled L1 was “diluted” by unfolding/refolding the spin-labeled enzyme in the presence of excess wild-type L1. DEER spectra of the resulting, spin-diluted enzyme revealed a single distance corresponding to the desire intramolecular dipolar coupling

Structure–activity relationship of ipglycermide binding to phosphoglycerate mutases

Catalysis of human phosphoglycerate mutase is dependent on a 2,3-bisphosphoglycerate cofactor (dPGM), whereas the nonhomologous isozyme in many parasitic species is cofactor independent (iPGM). This mechanistic and phylogenetic diversity offers an opportunity for selective pharmacologic targeting of glycolysis in disease-causing organisms. We previously discovered ipglycermide, a potent inhibitor of iPGM, from a large combinatorial cyclic peptide library. To fully delineate the ipglycermide pharmacophore, herein we construct a detailed structure–activity relationship using 280 substituted ipglycermide analogs. Binding affinities of these analogs to immobilized Caenorhabditis elegans iPGM, measured as fold enrichment relative to the index residue by deep sequencing of an mRNA display library, illuminated the significance of each amino acid to the pharmacophore. Using cocrystal structures and binding kinetics, we show that the high affinity of ipglycermide for iPGM orthologs, from Brugia malayi, Onchocerca volvulus, Dirofilaria immitis, and Escherichia coli, is achieved by a codependence between (1) the off-rate mediated by the macrocycle Cys14 thiolate coordination to an active-site Zn2+ in the iPGM phosphatase domain and (2) shape complementarity surrounding the macrocyclic core at the phosphotransferase–phosphatase domain interface. Our results show that the high-affinity binding of ipglycermide to iPGMs freezes these structurally dynamic enzymes into an inactive, stable complex