Assessment of drug utilization pattern and impact of infographics in patients with chronic liver disease

Background: The current study was conducted to ensure that the drugs were effectively utilised and also to create awareness and knowledge by providing counselling with the help of infographics among study population.Methods: A prospective interventional study was conducted in the gastroenterology department of a tertiary care hospital in Kerala. A total of 100 patients diagnosed with chronic liver disease (CLD) were enrolled for the study and data were recorded in a predesigned pro forma. Statistical analysis (paired t test) was performed to assess whether the drug has been effectively utilized in patients. The study population was counselled with the help of infographics and its impact was assessed from the questionnaire, which was set based on 5- point Likert’s scale.Results: Among 100 patients, males are more prevalent between the age groups 60-70. Diabetes mellitus (DM) (66%) and alcohol (37%) are the most common risk factors. Most of the study subjects belong to Child A (50%) category and model for end-stage liver disease (MELD) score of 51% of the patients were ≤9 with estimated 3-month mortality rate of 1.9%. Liver function tests (LFT) had shown that there was a significant difference between prior to and after treatment with the level of significance p<0.05, indicating that the drugs had been properly utilized in patients and found to be effective. The distributed infographics had a great impact among the study population.Conclusions: The study concluded that the drugs had been properly utilized and found to be effective in patients. The Infographics showed a positive impact among the study population

Bridging the Gap Between Neural Networks and Neuromorphic Hardware with A Neural Network Compiler

Different from developing neural networks (NNs) for general-purpose processors, the development for NN chips usually faces with some hardware-specific restrictions, such as limited precision of network signals and parameters, constrained computation scale, and limited types of non-linear functions. This paper proposes a general methodology to address the challenges. We decouple the NN applications from the target hardware by introducing a compiler that can transform an existing trained, unrestricted NN into an equivalent network that meets the given hardware's constraints. We propose multiple techniques to make the transformation adaptable to different kinds of NN chips, and reliable for restrict hardware constraints. We have built such a software tool that supports both spiking neural networks (SNNs) and traditional artificial neural networks (ANNs). We have demonstrated its effectiveness with a fabricated neuromorphic chip and a processing-in-memory (PIM) design. Tests show that the inference error caused by this solution is insignificant and the transformation time is much shorter than the retraining time. Also, we have studied the parameter-sensitivity evaluations to explore the tradeoffs between network error and resource utilization for different transformation strategies, which could provide insights for co-design optimization of neuromorphic hardware and software.Comment: Accepted by ASPLOS 201

Coral reef biodiversity of selected sites in Andaman & Nicobar Islands

SCUBA assisted under water surveys were carried out during 2018-2019 in selected coral reefs sites of the Andaman & Nicobar Islands. Biodiversity of Havelock Island (Nemo, Elephant and Turtles beaches), Neil Island (Lakshmanpur1), Northern Bay and Wandoor were documented. The diverse species of corals, coral reef fishes, sponges, sea urchins, holothurians, gastropods and giant clams were recorded during the surveys. It included 124 species of reef building corals, 82 species of reef fishes and four species of giant clams, besides holothurians and sea urchins

Chiral patterns arising from electrostatic growth models

Recently, unusual and strikingly beautiful seahorse-like growth patterns have been observed under conditions of quasi-two-dimensional growth. These `S'-shaped patterns strongly break two-dimensional inversion symmetry; however such broken symmetry occurs only at the level of overall morphology, as the clusters are formed from achiral molecules with an achiral unit cell. Here we describe a mechanism which gives rise to chiral growth morphologies without invoking microscopic chirality. This mechanism involves trapped electrostatic charge on the growing cluster, and the enhancement of growth in regions of large electric field. We illustrate the mechanism with a tree growth model, with a continuum model for the motion of the one-dimensional boundary, and with microscopic Monte Carlo simulations. Our most dramatic results are found using the continuum model, which strongly exhibits spontaneous chiral symmetry breaking, and in particular finned `S' shapes like those seen in the experiments.Comment: RevTeX, 12 pages, 9 figure

Structural and Functional Diversity of Acidic Scorpion Potassium Channel Toxins

Background: Although the basic scorpion K + channel toxins (KTxs) are well-known pharmacological tools and potential drug candidates, characterization the acidic KTxs still has the great significance for their potential selectivity towards different K + channel subtypes. Unfortunately, research on the acidic KTxs has been ignored for several years and progressed slowly. Principal Findings: Here, we describe the identification of nine new acidic KTxs by cDNA cloning and bioinformatic analyses. Seven of these toxins belong to three new a-KTx subfamilies (a-KTx28, a-KTx29, and a-KTx30), and two are new members of the known k-KTx2 subfamily. ImKTx104 containing three disulfide bridges, the first member of the a-KTx28 subfamily, has a low sequence homology with other known KTxs, and its NMR structure suggests ImKTx104 adopts a modified cystine-stabilized a-helix-loop-b-sheet (CS-a/b) fold motif that has no apparent a-helixs and b-sheets, but still stabilized by three disulfide bridges. These newly described acidic KTxs exhibit differential pharmacological effects on potassium channels. Acidic scorpion toxin ImKTx104 was the first peptide inhibitor found to affect KCNQ1 channel, which is insensitive to the basic KTxs and is strongly associated with human cardiac abnormalities. ImKTx104 selectively inhibited KCNQ1 channel with a Kd of 11.69 mM, but was less effective against the basic KTxs-sensitive potassium channels. In addition to the ImKTx104 toxin, HeTx204 peptide, containing a cystine-stabilized a-helix-loop-helix (CS-a/a) fold scaffold motif

X-Linked thrombocytopenia causing mutations in WASP (L46P and A47D) impair T cell chemotaxis

BACKGROUND: Mutation in the Wiskott-Aldrich syndrome Protein (WASP) causes Wiskott-Aldrich syndrome (WAS), X-linked thrombocytopenia (XLT) and X-linked congenital neutropenia (XLN). The majority of missense mutations causing WAS and XLT are found in the WH1 (WASP Homology) domain of WASP, known to mediate interaction with WIP (WASP Interacting Protein) and CIB1 (Calcium and Integrin Binding). RESULTS: We analyzed two WASP missense mutants (L46P and A47D) causing XLT for their effects on T cell chemotaxis. Both mutants, WASP(R)(L46P) and WASP(R)(A47D) (S1-WASP shRNA resistant) expressed well in Jurkat(WASP-KD) T cells (WASP knockdown), however expression of these two mutants did not rescue the chemotaxis defect of Jurkat(WASP-KD) T cells towards SDF-1α. In addition Jurkat(WASP-KD) T cells expressing these two WASP mutants were found to be defective in T cell polarization when stimulated with SDF-1α. WASP exists in a closed conformation in the presence of WIP, however both the mutants (WASP(R)(L46P) and WASP(R)(A47D)) were found to be in an open conformation as determined in the bi-molecular complementation assay. WASP protein undergoes proteolysis upon phosphorylation and this turnover of WASP is critical for T cell migration. Both the WASP mutants were found to be stable and have reduced tyrosine phosphorylation after stimulation with SDF-1α. CONCLUSION: Thus our data suggest that missense mutations WASP(R)(L46P) or WASP(R)(A47D) affect the activity of WASP in T cell chemotaxis probably by affecting the turnover of the protein. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12929-014-0091-1) contains supplementary material, which is available to authorized users

Prevention of cognitive decline: Lifestyle and other issues

Ageing often leads to decline in cognitive abilities. Significant cognitive impairment leads to functional impairment and need for care. Prevention of cognitive decline and delaying its progression would help to reduce the need for long-term care. Both genetic and environmental factors are important determinants of cognitive health in late life. A better cognitive reserve helps to prevent cognitive decline. Cognitive reserve is now considered as a functional reserve rather than a structural reserve. Cognitive reserve can be enhanced through experience. People with higher level of education tend to have higher cognitive reserve. Better cognitive reserve can act as a buffer. Engagement in cognitively stimulating activities may prevent cognitive decline in late life. Physical exercise also improves cognitive health. Aerobic exercises, which improve cardiorespiratory fitness, improve cognitive functions like motor functions, cognitive speed, and auditory and visual attention. Beneficial effects on executive functions are also reported. Healthy diet, especially adherence to Mediterranean diet (MeDi), is considered to be useful in preserving cognitive health. Engagement in social activities might also reduce cognitive decline. Encouraging adherence to a healthy lifestyle and continuing to be physically, socially, and cognitively active seems to be a promising strategy to prevent cognitive decline