65 research outputs found
New Transient Directing Group: Diethoxyethyl-L-Proline Facilitate Mono ortho-Arylation at Ar-yl-Amines/-Amino acids via Pd-Catalysed C(sp2)-H Activation
No full textThe mono-ortho-arylated arylamines are constituents of various natural products but their syntheses are challenging. This report describes the new synthetic methodology for mono-ortho-arylation of aryla-mines and α-aromatic amino acids (Phenyl glycine and Phenylalanine) through the Pd-catalyzed C(sp2)-H activation using synthetic transient directing group, diethoxyethyl-L-Proline (DEP). The cata-lytic amount of diethoxyethyl-L-Proline is sufficient for mono arylation of arylamines with aryl iodide. This method could be useful for the synthesis of various biphenyl amines and novel peptidomimetics
Development of transition metal dichalcogenide based quantum dots for light emitting diodes
No full text
Robust Modified Flower Pollination Algorithm for Power Quality Enhancement in an Autonomous 31-Level Cascaded H-Bridge Photovoltaic Inverter with Partial Shading Conditions
No full textThe effect of global warming and the scarcity of fossil fuels has created an enormous problem in today’s era. To overcome such a problem, renewable energy sources, particularly solar energy, play a crucial role in meeting the developing need for power. However, the design of the Solar Photovoltaic (PV) system is interrupted by various factors such as the effect of temperature, isolation, aging, partial shading conditions, etc. Among all the factors mentioned, partial shading results in the significant diminution of power. To address this shading effect and enhance the flexibility of the PV system in terms of better utilization and energy extraction, a 31-Level Cascaded H-Bridge Multilevel Inverter (CHB-MLI) has been implemented to the autonomous PV system comprising of Maximum Power Point Tracking (MPPT) controller, boost converter and variable loads in MATLAB/Simulink architecture. To track maximum power from PV during varying irradiance and temperature and to further improve the system performance in terms of better convergence speed, an MPPT system with a Modified Flower Pollination Algorithm (MFPA) based PID controller has been proposed in this paper. To justify the suggested approach, the is-landed PV system is led to variation in irradiance and load. A detailed comparison of the proposed MFPA technique with classical control techniques has been meticulously discussed. The results obtained indicate that the suggested MFPA tuned PID with MLI outperforms the conventional methods in better system stability, reduced harmonics, and enhanced capacity to track maximum power from the PV system. In addition to this, the Total Harmonic Distortion (THD) using Fast Fourier Transform (FFT) has been found to verify IEEE-1547 power quality constraints. The values are found to be well within limits, thus justifying its real-time applications
In-Silico Screening of Phytocompounds of Justicia Adhatoda for Thrombolytic Activity
No full textBackground: The risk of thrombosis and its associated mortality is becoming a greater public health concern in both industrialized and developing nations. Clinical condition that is myocardial infarction, ischemic stroke, unstable angina, peripheral vascular diseases like deep vein thrombosis prioritise top in the list of thrombotic disorders. Conventional thrombolytic medications including alteplase, anistreplase, streptokinase and urokinase offer life risking adverse effects like haemorrhage, stroke, vascular dysfunction, hypertension, internal bleeding and so on. In order to overcome the undesirable side effects caused by the conventional thrombolytic therapy, there is ominous need of alternate complementary treatment from traditional medicine. Majority of the Siddha formulations comprise of some potential medicinal herbs which are found to be biocompatible and also have a wide safety window. Justicia adhatoda is one such novel herb which is investigated broadly by researchers till date, aspired by its unique pharmacological property rendered by the bioactive components present in it. Methods: Hence, the present research is aimed at in-silico screening of certain classes of alkaloids and flavonoids retrieved from J. adhatoda to explore the possible anti-thrombotic activity against the target human plasminogen activation loop peptide using AutoDock screening tool. Results and Conclusion: The computational analysis’s findings led to the conclusion that the bioactive compounds present in Justicia adhatoda like Astragalin, Kaempferol, Vitexin, Vasicolinone and Adhatodine reveals significant binding affinity against target plasminogen. Thereby it was determined that these compounds may have promising anti-thrombotic efficacy due to their considerable binding affinity towards the target plasminogen
Multi-speed sedimentation velocity implementation in UltraScan-III
No full textAccepted author manuscriptA framework for the global analysis of multi-speed analytical ultracentrifugation sedimentation velocity experiments is
presented. We discuss extensions to the adaptive space–time finite element fitting methods implemented in UltraScan-III to
model sedimentation velocity experiments where a single run is performed at multiple rotor speeds, and describe extensions
in the optimization routines used for fitting experimental data collected at arbitrary multi-speed profiles. Our implementa-
tion considers factors such as speed dependent rotor stretching, the resulting radial shifting of the finite element solution’s
boundary conditions, and changes in the associated time-invariant noise. We also address the calculation of acceleration
rates and acceleration zones from existing radial acceleration and time records, as well as utilization of the time state object
available at high temporal resolution from the new Beckman Optima AUC instrument. Analysis methods in UltraScan-III
support unconstrained models that extract reliable information for both the sedimentation and the diffusion coefficients. These
methods do not rely on any assumptions and allow for arbitrary variations in both sedimentation and diffusion transport.
We have adapted these routines for the multi-speed case, and developed optimized and general grid based fitting methods
to handle changes in the information content of the simulation matrix for different speed steps. New graphical simulation
tools are presented that assist the investigator to estimate suitable grid metrics and evaluate information content based on
edit profiles for individual experiments.Ye
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Reactivity and reaction kinetics of calcium aluminosilicate glasses
No full textOptimizing the utilization of SCMs in concrete requires understanding their composition-structure–reactivity relationships, a task that remains challenging due to their inherent structural and chemical complexity. This study addresses this challenge by analyzing a diverse range of calcium aluminosilicate (CAS) glasses, serving as pure-phase model systems to better understand SCM reactivity. Sixteen CAS glasses were synthesized, with their amorphous nature confirmed by X-ray diffraction (XRD), and their reactivity assessed using heat release measurements from a modified R
3
test. X-ray diffraction (XRD) was performed to study the glass structure. Although several structural parameters—non-bridging per tetrahedral oxygens (NBO/T), average
Q
n
(Si) species, metal–oxygen bond strength (
S
M–O
), the average number of topological constraints per atom (
n
r
), and XRD hump maxima angle—correlated linearly with CaO (reflecting its depolymerizing effect), the 72-h heat release followed a non-linear trend with CaO. It increased initially, peaked at around 35–45 mol % CaO, then decreased. Consequently, high-CaO glasses reacted rapidly but did not sustain their reaction over time, whereas those with higher SiO
2
content showed slower yet more prolonged reactivity. These findings demonstrate that reactivity cannot be directly predicted from existing structural descriptors alone
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