Language and Language Teaching Workshop 2 in Jaipur, Rajasthan

The second workshop of Language and Language teaching for fifty members of the Azim Premji Institutes focused on the development of reading skills

Associated Z′Z^\prime production in the flavorful U(1)U(1) scenario for RK(∗)R_{K^{(*)}}

The flavorful $Z^\prime$ model with its couplings restricted to the left-handed second generation leptons and third generation quarks can potentially resolve the observed anomalies in $R_K$ and $R_{K^*}$. After examining the current limits on this model from various low-energy processes, we probe this scenario at 14 TeV high-luminosity run of the LHC using two complementary channels: one governed by the coupling of $Z'$ to $b$-quarks and the other to muons. We also discuss the implications of the latest LHC high mass resonance searches in the dimuon channel on the model parameter space of our interest.Comment: 23 pages, 13 figures, 3 tables, Figures 5, 6, 7 and 8 have been modified, references have been updated, footnote added on page 12, version accepted for publication in The European Physical Journal

Language and Language Teaching Workshop 2 in Jaipur, Rajasthan

The second workshop of Language and Language teaching for fifty members of the Azim Premji Institutes focused on the development of reading skills

Associated Z′Z^\prime production in the flavorful U(1)U(1) scenario for RK(∗)R_{K^{(*)}}

The flavorful $Z^\prime$ model with its couplings restricted to the left-handed second generation leptons and third generation quarks can potentially resolve the observed anomalies in $R_K$ and $R_{K^*}$. After examining the current limits on this model from various low-energy processes, we probe this scenario at 14 TeV high-luminosity run of the LHC using two complementary channels: one governed by the coupling of $Z'$ to $b$-quarks and the other to muons. We also discuss the implications of the latest LHC high mass resonance searches in the dimuon channel on the model parameter space of our interest

<span style="font-size:11.0pt;mso-bidi-font-size: 10.0pt;font-family:"Times New Roman","serif";mso-fareast-font-family:"Times New Roman"; mso-ansi-language:EN-GB;mso-fareast-language:EN-US;mso-bidi-language:AR-SA" lang="EN-GB">Backscattering of light by coastal waters using hyperspectral<i style="mso-bidi-font-style: normal"> in-situ</i> measurements: A case study off Veraval, Gujarat, India</span>

762-769<span style="font-size:11.0pt;mso-bidi-font-size: 10.0pt;font-family:" times="" new="" roman","serif";mso-fareast-font-family:"times="" roman";="" mso-ansi-language:en-gb;mso-fareast-language:en-us;mso-bidi-language:ar-sa"="" lang="EN-GB">Backscattering of coastal waters of Arabian Sea off Veraval, Gujarat, India has been reported using Quasi Analytical Algorithm (QAA) inversion method. The same is compared with the in-situ measurements. Present study compares the backscattering coefficient retrieved from QAA with the measured values of backscattering at 470 and 700 nm. Retrieved backscattering coefficient using QAA lies between 0.0005-0.0047 m-1 at 470 nm and 0.00006-0.0040 m-1 at 700 nm. This is compared with the measured backscattering coefficients. Root mean square error (RMSE) has been computed, taking logarithm (to base 10) of the measured and modeled values. RMSE for 470 nm is 0.21 and for 700 nm is 0.23. Mean percentage error has also been computed which is 19.19% at 470 nm and 43.90% at 700 nm. Field measurements show that the QAA approach overestimates the backscattering coefficient at 470 nm and 700 nm (19.19% and 43.90% respectively) in the coastal waters of Gujarat. This is possibly due to the wavelength model used in the computation of backscattering at various wavelengths.</span

Molecular docking and dynamics simulation analyses unraveling the differential enzymatic catalysis by plant and fungal laccases with respect to lignin biosynthesis and degradation

<div><p>Laccase, widely distributed in bacteria, fungi, and plants, catalyzes the oxidation of wide range of compounds. With regards to one of the important physiological functions, plant laccases are considered to catalyze lignin biosynthesis while fungal laccases are considered for lignin degradation. The present study was undertaken to explain this dual function of laccases using <i>in-silico</i> molecular docking and dynamics simulation approaches. Modeling and superimposition analyses of one each representative of plant and fungal laccases, namely, <i>Populus trichocarpa</i> and <i>Trametes versicolor</i>, respectively, revealed low level of similarity in the folding of two laccases at 3D levels. Docking analyses revealed significantly higher binding efficiency for lignin model compounds, in proportion to their size, for fungal laccase as compared to that of plant laccase. Residues interacting with the model compounds at the respective enzyme active sites were found to be in conformity with their role in lignin biosynthesis and degradation. Molecular dynamics simulation analyses for the stability of docked complexes of plant and fungal laccases with lignin model compounds revealed that tetrameric lignin model compound remains attached to the active site of fungal laccase throughout the simulation period, while it protrudes outwards from the active site of plant laccase. Stability of these complexes was further analyzed on the basis of binding energy which revealed significantly higher stability of fungal laccase with tetrameric compound than that of plant. The overall data suggested a situation favorable for the degradation of lignin polymer by fungal laccase while its synthesis by plant laccase.</p></div