Ultra-wide-band Circularly Polarized Mushroom-shaped Dielectric Resonator Antenna for 5G and sub-6 GHz Applications

In this paper, a mushroom shaped ultrawideband circularly polarized Dielectric Resonator Antenna (DRA) is proposed for lower 5G band and sub-6 GHz applications. The proposed DRA is excited by two orthogonal conformal probes and fed by a simple L shape microstrip feed network. The DRA exhibits wide impedance bandwidth of approximately 34.5% (3.5-5.1 GHz) with S11 better than -10 dB and wide circular polarization bandwidth of 33% (3.55-5 GHz) with axial ratio less than 3 dB in broadside direction. Mushroom-shaped DRA has a peak gain of 6.5 dBi and an average gain throughout the operating band is 5.5 dBi. Simulated results of the DRA are in good agreement with measured results of fabricated prototype. This DRA is a strong candidate for the sub-6 GHz and 5G band applications

Amanda Gorman and Her Way With Poetry

Amanda Gorman promotes perseverance and togetherness throughout her poems: “Earthrise,” “The Hill We Climb,” and “The Miracle of Morning” to challenge the narrative of our nation’s history and make the world a better place for the generations to come

Lights, Camera, and Whistling Solos: An LDS Roadshow

In his humorous book about Mormons, Orson Scott Card describes a roadshow as a ten-minute musical play in which as many teenagers as possible are crammed onto a tiny stage where they sing silly songs while swaying back and forth with their arms raised above their heads. This is done in order to acquaint Mormon youth with Shakespeare\u27s art. Some Mormon leaders argue the roadshow is a uniquely LDS art form which developed in the 1920s and grew to its highest levels of popularity in the 1950s and 1960s before drastically reducing its reach in the 1990s. This paper argues roadshows are an important element of Utah\u27s art and cultural history and offer an interesting way to research LDS childhood, culture and theater. Roadshows are an example of the LDS church\u27s commitment to acquainting their members with, and cultivating, the arts

Realizing a Robust, Reconfigurable Active Quenching Design for Multiple Types of Single-Photon Avalanche Detectors

Most active quench circuits used for single-photon avalanche photodetectors (APDs) are designed either with discrete components which lack the flexibility of dynamically changing the control parameters, or with custom ASICs which require a long development time and high cost. As an alternative, we present a reconfigurable and robust hybrid design implemented using a System-on-Chip (SoC), which integrates both an FPGA and a microcontroller. We take advantage of the FPGA's speed and reconfiguration capabilities to vary the quench and reset parameters dynamically over a large range, thus allowing our system to operate a variety of APDs without changing the design. The microcontroller enables the remote adjustment of control parameters and calibration of APDs in the field. The ruggedized design uses components with space heritage, thus making it suitable for space-based applications in the fields of telecommunications and quantum key distribution (QKD). We demonstrate our circuit by operating a commercial APD cooled to -20{\deg}C with a deadtime of 35ns while maintaining the after-pulsing probability at close to 3%. We also showcase its versatility by operating custom-fabricated chip-scale APDs, which paves the way for automated wafer-scale characterization.Comment: 6 pages, 6 figures. arXiv admin note: substantial text overlap with arXiv:2205.0022

Comprehensive Computational Model for Coupled Fluid Flow, Mass Transfer, and Light Supply in Tubular Photobioreactors Equipped with Glass Sponges

The design and optimization of photobioreactor(s) (PBR) benefit from the development of robust and quantitatively accurate computational fluid dynamics (CFD) models, which incorporate the complex interplay of fundamental phenomena. In the present work, we propose a comprehensive computational model for tubular photobioreactors equipped with glass sponges. The simulation model requires a minimum of at least three submodels for hydrodynamics, light supply, and biomass kinetics, respectively. First, by modeling the hydrodynamics, the light–dark cycles can be detected and the mixing characteristics of the flow (besides the mass transport) can be analyzed. Second, the radiative transport model is deployed to predict the local light intensities according to the wavelength of the light and scattering characteristics of the culture. The third submodel implements the biomass growth kinetic by coupling the local light intensities to hydrodynamic information of the CO2 concentration, which allows to predict the algal growth. In combination, the novel mesoscopic simulation model is applied to a tubular PBR with transparent walls and an internal sponge structure. We showcase the coupled simulation results and validate specific submodel outcomes by comparing the experiments. The overall flow velocity, light distribution, and light intensities for individual algae trajectories are extracted and discussed. Conclusively, such insights into complex hydrodynamics and homogeneous illumination are very promising for CFD-based optimization of PBR

Comprehensive Computational Model for Coupled Fluid Flow, Mass Transfer, and Light Supply in Tubular Photobioreactors Equipped with Glass Sponges

The design and optimization of photobioreactor(s) (PBR) benefit from the development of robust and quantitatively accurate computational fluid dynamics (CFD) models, which incorporate the complex interplay of fundamental phenomena. In the present work, we propose a comprehensive computational model for tubular photobioreactors equipped with glass sponges. The simulation model requires a minimum of at least three submodels for hydrodynamics, light supply, and biomass kinetics, respectively. First, by modeling the hydrodynamics, the light–dark cycles can be detected and the mixing characteristics of the flow (besides the mass transport) can be analyzed. Second, the radiative transport model is deployed to predict the local light intensities according to the wavelength of the light and scattering characteristics of the culture. The third submodel implements the biomass growth kinetic by coupling the local light intensities to hydrodynamic information of the CO2 concentration, which allows to predict the algal growth. In combination, the novel mesoscopic simulation model is applied to a tubular PBR with transparent walls and an internal sponge structure. We showcase the coupled simulation results and validate specific submodel outcomes by comparing the experiments. The overall flow velocity, light distribution, and light intensities for individual algae trajectories are extracted and discussed. Conclusively, such insights into complex hydrodynamics and homogeneous illumination are very promising for CFD-based optimization of PBR

pyTANSPEC: A Data Reduction Package for TANSPEC

The TIFR-ARIES Near Infrared Spectrometer (TANSPEC) instrument provides simultaneous wavelength coverage from 0.55 to 2.5 micron, mounted on India's largest ground-based telescope, 3.6-m Devasthal Optical Telescope at Nainital, India. The TANSPEC offers three modes of observations, imaging with various filters, spectroscopy in the low-resolution prism mode with derived R~ 100-400 and the high-resolution cross-dispersed mode (XD-mode) with derived median R~ 2750 for a slit of width 0.5 arcsec. In the XD-mode, ten cross-dispersed orders are packed in the 2048 x 2048 pixels detector to cover the full wavelength regime. As the XD-mode is most utilized as well as for consistent data reduction for all orders and to reduce data reduction time, a dedicated pipeline is at the need. In this paper, we present the code for the TANSPEC XD-mode data reduction, its workflow, input/output files, and a showcase of its implementation on a particular dataset. This publicly available pipeline pyTANSPEC is fully developed in Python and includes nominal human intervention only for the quality assurance of the reduced data. Two customized configuration files are used to guide the data reduction. The pipeline creates a log file for all the fits files in a given data directory from its header, identifies correct frames (science, continuum and calibration lamps) based on the user input, and offers an option to the user for eyeballing and accepting/removing of the frames, does the cleaning of raw science frames and yields final wavelength calibrated spectra of all orders simultaneously.Comment: 10 pages, 6 figures, accepted for publication in the Special Issue of Journal of Astrophysics & Astronomy, 2022, Star formation studies in context of NIR instruments on 3.6m DOT, held at ARIES, Nainital during 4-7, May, 202

The Crescent Student Newspaper, November 13, 1998

Student Newspaper of George Fox University.https://digitalcommons.georgefox.edu/the_crescent/2203/thumbnail.jp