185 research outputs found
Replication Data for: Bird’s Decision to Shift the Direction of Migration Path Depends on the Position of Sun as well as Moon: A Directional Statistical Inference
Dataset for: Bird’s Decision to Shift the Direction of Migration
Path Depends on the Position of the Sun as well as Moon:
A Directional Statistical Inference
(Author: Prithwish Ghosh, Debashis Chatterjee, Amlan Banerjee
Mononuclear and dinuclear tetravalent zirconium compounds as catalysts for the synthesis of aliphatic polyesters and aliphatic polycarbonates
http://dx.doi.org/10.13039/501100001409 Department of Science and Technology, Ministry of Science and Technology, Indiahttp://dx.doi.org/10.13039/501100001843 Science and Engineering Research Boar
Coordination induced fluorescence enhancement and construction of a Zn3 constellation through hydrolysis of ligand imine arms
The phenoxido and alkoxido bridged neutral Zn3 complex [Zn3(mu-H2bemp)2(m3-emp)2](1), with an angular Zn3(mu-OPh)2(mu-OEt)2 core and capping nitrogen donors, was synthesized via simultaneous chelation-cum-bridging of the parent and hydrolysed ligands. Zinc(II) coordination triggered the
solution phase imine (C=N) bond hydrolysis of H3bemp (2,6-bis-[(2-hydroxyethylimino)methyl]-4-methylphenol) and yielded the unexpected angular trinuclear Zn(II) complex 1, having structural
similarity with the Zn3 active site of P1 nuclease. H3bemp also displays a zinc(II) selective chelation-enhanced fluorescence response from strong metal ion coordination. Complexation of zinc(II) with H3bpmp (2,6-bis-[(3-hydroxypropylimino)methyl]-4-methylphenol), a close analogue of H3bemp,instead provides only mononuclear [Zn(H2bpmpHN)2](ClO4)2·2H2O(2·2H2O) (HN is the proton attached to an imine nitrogen atom) of two zwitterionic ligands, generated through a kind of coordination driven acid–base reaction, without showing any aggregation reaction. As the sole metal–organic precursor, both the complexes under pyrolytic conditions give ZnO nano structures of two morphologies
Laboratory bioassay of insecticides mixtures (neonicotinoids and ketoenols) against Bemisia tabaci Asia I
Cotton leaves were dipped in serially diluted solutions of formulated insecticides for 10 s with slight agitation. The leaves with second instar nymphs that were dipped in double-distilled water containing 0.1 g L-1 Triton X-100 only, served as control. Each bioassay including control used 3-4 replicates at a minimum of eight different concentrations and were maintained at the controlled growth condition. All the insecticides concentrations were selected to give a range of 0-100% mortality of B. tabaci nymphs. Two weeks later final mortality was assessed when the last nymphal instar had been reached on control plants. It was computed by comparing the number of second instar nymphs present at the time of treatment with the number remaining dead or unhatched on the day of mortality assessment. For bioassays with synergists (PBO and DEF), the cotton leaves containing the second instar nymphs of B. tabaci were dipped into synergist solutions (100 mg L-1) for 10 s at least 2 h before the imposition of insecticide treatments. Other procedures were same to those with insecticides only
Cluster
A mononuclear MnN4O2 complex with two zwitterionic li-
gands and a centrosymmetric tetranuclear μ3-OH-bridged
self-assembled Mn4 cluster were synthesized and charac-
terized by using the [NO(H)N] ligand HOPhbip [2,6-bis(phen-
ylmethyliminomethyl)-4-methylphenol]. The reaction in
MeOH in the presence of NH4SCN and a lower stoichiometry
of Mn(OAc)2·4H2O without any added base produces
[MnII (HNbip)2(NCS)2]·CH3CN (1·CH3CN). In the presence of
NaOH and NH4SCN in MeOH, the cluster [MnII
4(μ-bip)2(μ3-OH)2(NCS)4](2), featuring a stepped-cubane, was obtained through hydroxido-bridge-driven dimerization of two μ3-OH-bridged [Mn2] fragments derived from 1·CH3CN
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An Algorithm for Mining Adverse-Event Datasets for Detection of Post Safety Concern of a Drug
Signal detection from Adverse Event Reports (AERs) is important for identifying and analysing drug safety concern after a drug has been released into the market. A safety signal is defined as a possible causal relation between an adverse event and a drug. There are a number of safety signal detection algorithms available for detecting drug safety concern. They compare the ratio of observed count to expected count to find instances of disproportionate reportings of an event for a drug or combination of events for a drug. In this thesis, we present an algorithm to mine the AERs to identify drugs which show sudden and large changes in patterns of reporting of adverse events. Unlike other algorithms, the proposed algorithm creates time series for each drug and use it to identify start of a potential safety problem. A novel vectorized timeseries utilizing multiple attributes has been proposed here. First a time series with a small time period was created; then to remove local variations of the number of reports in a time period, a time-window based averaging was done. This method helped to keep a relatively long time-series, but eliminated local variations. The steps in the algorithm include partitioning the counts on attribute values, creating a vector out of the partitioned counts for each time period, use of a sliding time window, normalizing the vectors and computing vector differences to find the changes in reporting over time. Weights have been assigned to attributes to highlight changes in the more significant attributes. The algorithm was tested with Adverse Event Reporting System (AERS) datasets from Food and Drug Administation (FDA). From AERS datasets the proposed algorithm identified five drugs that may have safety concern. After searching literature and the Internet it was found that the five drugs the algorithm identified, two were recalled, one was suspended, one had to undergo label change and the other one has a lawsuit pending against it.</p
The Role of Multi-Parametric MRI and Fusion Biopsy for the Diagnosis of Prostate Cancer – A Systematic Review of Current Literature
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