The spectrum of thyroid lesions on fine needle aspiration cytology

Background: Fine Needle Aspiration Cytology (FNAC) of thyroid gland is the most common preoperative investigation for diagnosis of thyroid lesions. Though various tests like thyroid profile, ultrasonography and radionuclide scan are available, they are used as adjuvant diagnostic modalities. FNAC is simple, easy to perform, non-invasive and cost-effective procedure. Primary aim is to study the spectrum of various thyroid lesions on FNAC. Also, the study is aimed to categorise the thyroid lesions according to the Bethesda system for Reporting Thyroid Cytopathology (2017).Methods: This is a retrospective observational study carried out in the pathology department at tertiary care academic institute for a period of three years. FNAC was done in a patient with thyroid swelling by non-aspiration technique. Slides were prepared, fixed in 95% ethyl alcohol and processed with routine stains.Results: Out of 210 cases, 150 cases (71.42%) were benign lesions, 15 cases (7.14%) were Follicular neoplasm/Suspicious for follicular neoplasm, 14(6.66%) cases were reported as Atypia of undetermined significance, 13 cases (6.19%) were Unsatisfactory/Nondiagnostic, 11 cases (5.2%) were malignant and 7 cases (3.3%) were suspicious for malignancy.Conclusions: FNAC is the most effective tool for the diagnosis of thyroid lesions. The Bethesda system is used to categorise the thyroid lesions and helps in better communication between clinicians and pathologists for the best surgical and medical management. The number of benign cases were higher and the number of cases in the category of suspicious for malignancy were lower with female preponderance

Intensified Thermal Conductivity and Convective Heat Transfer of Ultrasonically Prepared CuO–Polyaniline Nanocomposite Based Nanofluids in Helical Coil Heat Exchanger

In this study, investigation of convective heat transfer enhancement with the use of CuO–Polyaniline (CuO–PANI) nanocomposite basednanofluid inside vertical helically coiled tube heat exchanger was carried out experimentally. In these experiments, the effects of different parameters such as Reynolds number and volume % of CuO–PANI nanocomposite in nanofluid on the heat transfer coefficient of base fluid have been studied. In order to study the effect of CuO–PANI nanocomposite based nanofluid on heat transfer, CuO nanoparticles loaded in PANI were synthesized in the presence of ultrasound assisted environment at different loading concentration of CuO nanoparticles (1, 3 and 5 wt.%). Then the nanofluids were prepared at different concentrations of CuO–PANI nanocomposite using water as a base fluid. The 1 wt.% CuO–PANI nanocomposite was selected for the heat transfer study for nanofluid concentration in the range of 0.05 to 0.3 volume % and Reynolds number range of was 1080 to 2160 (±5). Around 37 % enhancement in the heat transfer coefficient was observed for 0.2 volume % of 1 wt.% CuO–PANI nanocomposite in the base fluid. In addition, significant enhancement in the heat transfer coefficient was observed with an increase in the Reynolds number and percentage loading of CuO nanoparticle in Polyaniline (PANI)

Optimal DSSC’s deployment in power system using PSO

Owing to the high cost of installation and operation, distributed flexible AC transmission system (FACTS) technology gives opportunity to provide cost-effective solution in power system operation and control. A distributed static series compensator (DSSC) is a series FACTS device and it is placed equidistantly placed on the existing line to vary the line current. Active power can be controlled in the line with the help of DSSC. This paper presents DSSC for active power flow control to enhance system loadability index and to minimize reactive power generation by generators. Since DSSC is of low power. a small value of reactance is emulated in the line. Large number of DSSC’s are distributed along the transmission line at regular intervals to realize considerable change in the current. A particle swarm optimization is implemented to determine DSSC’s emulated reactance optimally. In this condition, all the lines flowing power in their limits with increased loading condition. Maximum system loadability index is evaluated by employing optimal number of DSSC’s on the line. A multiobjective problem is formulated. One objective function is formed such that no line would become overloaded even when loading is increased. Other objective is formulated to minimize reactive power generation by generators. A compromise solution is investigated for optimally connected of DSSC devices to achieve both the objective functions. IEEE 14 bus system is taken for MATLAB simulation of DSSC compensated system

Stability of hypermassive neutron stars with realistic rotation and entropy profiles

Binary neutron star mergers produce massive, hot, rapidly differentially rotating neutron star remnants; electromagnetic and gravitational wave signals associated with the subsequent evolution depend on the stability of these remnants. Stability of relativistic stars has previously been studied for uniform rotation and for a class of differential rotation with monotonic angular velocity profiles. Stability of those equilibria to axisymmetric perturbations was found to respect a turning point criterion: along a constant angular momentum sequence, the onset of unstable stars is found at maximum density less than but close to the density of maximum mass. In this paper, we test this turning point criterion for non-monotonic angular velocity profiles and non-isentropic entropy profiles, both chosen to more realistically model post-merger equilibria. Stability is assessed by evolving perturbed equilibria in 2D using the Spectral Einstein Code. We present tests of the code's new capability for axisymmetric metric evolution. We confirm the turning point theorem and determine the region of our rotation law parameter space that provides highest maximum mass for a given angular momentum.Comment: 12 pages, 9 figure

High angular momentum hot differentially rotating equilibrium star evolutions in conformally flat spacetime

The conformal flatness approximation to the Einstein equations has beensuccessfully used in many astrophysical applications such as initial dataconstructions and dynamical simulations. Although it has been shown that fullgeneral relativistic strongly differentially rotating equilibrium modelsdeviate by at most a few percent from their conformally flat counterparts,whether those conformally flat solutions remain stable has not been fullyaddressed. To further understand the limitations of the conformal flatnessapproximation, in this work, we construct spatially-conformally-flat hothypermassive neutron stars with post-merger-like rotation laws, and performconformally flat evolutions and analysis over dynamical timescales. We findthat enforcing conformally-flat spacetime could change the equilibrium ofquasi-toroidal models with high angular momentum for $J \gtrsim 9 ~GM_{\odot}^2 / c$ compared to fully general relativistic cases. In contrast, allthe quasi-spherical models considered in this work remain stable even with highangular momentum $J=9~G M_{\odot}^2 / c$. Our investigation suggests that thequasi-spherical models are suitable initial data for long-lived hypermassiveneutron star modeling in conformally flat spacetime.<br

AI Driven Experiment Calibration and Control

One critical step on the path from data taking to physics analysis is calibration. For many experiments this step is both time consuming and computationally expensive. The AI Experimental Calibration and Control project seeks to address these issues, starting first with the GlueX Central Drift Chamber (CDC). We demonstrate the ability of a Gaussian Process to estimate the gain correction factor (GCF) of the GlueX CDC accurately, and also the uncertainty of this estimate. Using the estimated GCF, the developed system infers a new high voltage (HV) setting that stabilizes the GCF in the face of changing environmental conditions. This happens in near real time during data taking and produces data which are already approximately gain-calibrated, eliminating the cost of performing those calibrations which vary ±15% with fixed HV. We also demonstrate an implementation of an uncertainty aware system which exploits a key feature of a Gaussian process

Stability of hypermassive neutron stars with realistic rotation and entropy profiles

Binary neutron star mergers produce massive, hot, rapidly differentiallyrotating neutron star remnants; electromagnetic and gravitational wave signalsassociated with the subsequent evolution depend on the stability of theseremnants. Stability of relativistic stars has previously been studied foruniform rotation and for a class of differential rotation with monotonicangular velocity profiles. Stability of those equilibria to axisymmetricperturbations was found to respect a turning point criterion: along a constantangular momentum sequence, the onset of unstable stars is found at maximumdensity less than but close to the density of maximum mass. In this paper, wetest this turning point criterion for non-monotonic angular velocity profilesand non-isentropic entropy profiles, both chosen to more realistically modelpost-merger equilibria. Stability is assessed by evolving perturbed equilibriain 2D using the Spectral Einstein Code. We present tests of the code's newcapability for axisymmetric metric evolution. We confirm the turning pointtheorem and determine the region of our rotation law parameter space thatprovides highest maximum mass for a given angular momentum.<br