The Perceived Impact of the New Rules Regarding Name, Image, and Likeness (NIL) in Intercollegiate Sports

New rules allow college athletes to earn significant income from a multitude of activities common among professional athletes. These activities include allowing athletes to profit from the sale of intellectual properties that bear their name, image, or likeness (NIL); additional opportunities include blogs, social media posts, camps, and autograph sessions. Early perceptions of the impact of these new NIL rules have been far from unanimous. A sample of 404 students from five American universities provided feedback regarding their perceptions of nine NIL-related considerations: the impact that the new NIL rules have had on college sports, if the athletes benefit, whether the rules impact recruiting, if they give Power 5 schools an advantage, if boosters and wealthy alumni are given too much power, the extent to which they hope athletes at their school can benefit from the new rules, if the new rules are detrimental to amateur athletics in general, whether they approve of the new rules, and if the new rules run counter to Title IX. The results indicate that students possess a generally favorable perception of the new rules

Management issues in systems engineering

When applied to a system, the doctrine of successive refinement is a divide-and-conquer strategy. Complex systems are sucessively divided into pieces that are less complex, until they are simple enough to be conquered. This decomposition results in several structures for describing the product system and the producing system. These structures play important roles in systems engineering and project management. Many of the remaining sections in this chapter are devoted to describing some of these key structures. Structures that describe the product system include, but are not limited to, the requirements tree, system architecture and certain symbolic information such as system drawings, schematics, and data bases. The structures that describe the producing system include the project's work breakdown, schedules, cost accounts and organization

Water Quality Sampling, Analysis and Annual Load Determinations for TSS, Nitrogen and Phosphorus at the Washington County Road 76 Bridge on Ballard Creek

The Illinois River Basin has experienced water quality impairment from non-point source pollution for many years. This fact was well documented in the State of Arkansas\u27 Water Quality Assessment report, the Soil Conservation Service River Basin Study, and several University of Arkansas, Fayetteville studies. Thirty-seven sub-watersheds have been identified by the SCS in the Arkansas portion of the Illinois River basin. In the Arkansas portion of the Basin, the Illinois River, Evansville Creek, Baron Fork, Cincinnati Creek, Muddy Fork, Moores Creek, Clear Creek, Osage Creek and Flint Creek were all classified as not supporting their designated use as primary contact recreation streams. The identified causes of the impairment were: sediment, bacteria and nutrients. In 1997, the University of Arkansas, Fayetteville completed a project that estimated the phosphorus loading from each of the thirty-seven sub-watersheds. This project also prioritized watersheds for implementation work based on phosphorus loads, nitrogen loads and total suspended solids loads per unit area. The thirty-seven subwatersheds were grouped into Low (16), Medium (10) and High (11) categories based on phosphorus loadings. If all the sub-watersheds above the median value for on phosphorus loading in the Illinois River basin were brought down to the current median value for phosphorus loading, this reduction would result in the agreed to 40% reduction of phosphorus at the state line. The selection of a sub-watershed for targeted intensive voluntary BMP implementation was based on the following criteria: a) the sub-watershed had to be above the current median value for phosphorus loading, b) there would be no sewage treatment plant in the sub-watershed, and c) land user interest. The Upper Ballard Creek watershed met all these requirements. The watershed covers 7106.24 hectares. The creek is currently in the High category with a unit area loading of 1.75 kg. per hectare per year. The median value for the thirty-seven watersheds is 0.73 kg. per hectare per year

Concert recording 2015-04-19

[Track 01]. Suite no. 3 for solo cello. Prelude / J.S. Bach -- [Track 02]. Suite no. 4 for solo cello. Sarabande ; Bourree I & II / J.S. Bach -- [Track 03]. Two pieces / Anton von Webern -- [Track 04]. Song without words / Felix Mendelssohn -- [Track 05]. Suite no. 2 for solo cello. Prelude / J.S. Bach -- [Track 06]. Sicilienne / Gabriel Fauré -- [Track 07]. Scherzo / Daniel van Goens -- [Track 08]. Suite no. 5 for solo cello. Prelude / J.S. Bach -- [Track 09]. Suite no.5 for solo cello. Allemande ; Courante ; Sarabande ; Gavotte I & II ; Gigue / J.S. Bach

Concert recording 2017-12-01

[Tracks 1-15]. 15 etudes op. 76(a) / David Popper -- [Track 16]. Suite no. 1, BWV 1007. Prelude [Track 17]. Sarabande [Track 18]. Minuet. / Johann Sebastian Bach -- [Track 19]. Suite no. 2, BWV 1008. Prelude [Track 20]. Gigue [Track 21]. Allemande [Track 22]. Courante [Track 23]. Sarabande [Track 24]. Minuet. / Johann Sebastian Bach -- [Track 25]. Suite no. 3, BWV 1009. Prelude [Track 26]. Allemande [Track 27]. Courante [Track 28]. Bourreé [Track 29]. Sarabande [Track 30]. Gigue / Johann Sebastian Bach -- [Track 31]. Suite no. 1, BWV 1007.Prelude [Track 32]. Courante [Track 33]. Sarabande / Johann Sebastian Bach -- [Track 34] Suite No. 4, BWV 1010. Prelude [Track 35]. Sarabande / Johann Sebastian Bach -- [Track 36]. Sicilienne / Maria Theresia von Paradis arranged by Dominic K Na -- [Track 37]. Ständchen / Franz Schubert arranged by Dominic K Na -- [Track 38]. The ragtime dance / Scott Joplin arranged by Dominic K Na

Concert recording 2018-03-28

[Track 1]. From Jewish life, no. 2. Supplication / Ernest Bloch -- [Track 2]. Cello suite no. 1 in G major, BWV 1007. Prelude / J.S. Bach -- [Track 3]. Sonata for cello and piano in G major. I. Allegro non troppo / Giovanni Battista Sammartini -- [Track 4]. Concerto in D major. I. Poco largo - Allegro moderato / Giuseppe Tartini -- [Track 5]. Cello suite no. 4 in E-flat major, BWV 1010. Prelude [Track 6]. Sarabande [Track 7]. Gigue / Bach -- [Track 8]. Hungarian rhapsody, op. 68 / David Popper -- [Track 9]. Nocturne in E-flat, op. 9, no. 2 for cello and piano / Frédéric Chopin arranged by David Popper -- [Track 10]. Concerto no. 1 in A minor, op. 33. I. Allegro non troppo / Camille Saint-Saëns -- [Track 11]. Appalachia waltz for solo cello / Mark O\u27Connor -- [Track 12]. Sinfonia from Messiah, HWV 56. Grave - Allegro moderato / George Frederic Handel arranged by Dominic K. Na -- [Track 13]. Ständchen, D 889 / Franz Schubert arranged by Dominic K. Na -- [Track 14]. The ragtime dance / Scott Joplin arranged by Dominic K. Na

Concert recording 2017-04-25

[Track 1] Silent woods for cello and piano op.68/5 from the Bohemian forest / Antonín Dvořák -- [Track 2] Concerto for cello and piano in E minor, op. 85. II. Lento - allegro molto / E[Track 1]. Silent woods for cello and piano op.68/5 from the Bohemian forest / Antonín Dvořák -- [Track 2]. Concerto for cello and piano in E minor, op. 85. II. Lento - allegro molto / Edward Elgar -- [Track 3]. Concerto for cello and piano in B minor, op. 104. II. Adagio ma non troppo / Dvořák -- [Track 4]. Suite for cello and piano, op. 16. II. Sérénade (andantino) ; [Track 5]. III. Gavotte (allegro non troppo) / Camille Saint-Saëns -- [Track 6]. Polonaise de concert for cello and piano, op. 14 / David Popper -- [Track 7]. Suite for three cellos. I. Allegro ; [Track 8]. IV. Lento / Fernand de La Tombelle -- [Track 9]. Sonata for cello and piano, op. 43/2 in C major. I. Allegro / Bernhard Romberg ; arranged by F. Gustav Jansen -- [Track 10]. Impromptu no. 3 in G major, D. 899 / Franz Schubert -- [Track 11]. Sonata 3 for cello and piano in A major, op. 69. I. Allegro ma non tanto / L.V. Beethoven -- [Track 12]. Two pieces from The blizzard. I. Romance ; [Track 13]. II. Waltz / Georgy Sviridov ; story by Alexander Pushkin

A binary tree approach to template placement for searches for gravitational waves from compact binary mergers

We demonstrate a new geometric method for fast template placement for searches for gravitational waves from the inspiral, merger and ringdown of compact binaries. The method is based on a binary tree decomposition of the template bank parameter space into non-overlapping hypercubes. We use a numerical approximation of the signal overlap metric at the center of each hypercube to estimate the number of templates required to cover the hypercube and determine whether to further split the hypercube. As long as the expected number of templates in a given cube is greater than a given threshold, we split the cube along its longest edge according to the metric. When the expected number of templates in a given hypercube drops below this threshold, the splitting stops and a template is placed at the center of the hypercube. Using this method, we generate aligned-spin template banks covering the mass range suitable for a search of Advanced LIGO data. The aligned-spin bank required ~24 CPU-hours and produced 2 million templates. In general, we find that other methods, namely stochastic placement, produces a more strictly bounded loss in match between waveforms, with the same minimal match between waveforms requiring about twice as many templates with our proposed algorithm. Though we note that the average match is higher, which would lead to a higher detection efficiency. Our primary motivation is not to strictly minimize the number of templates with this algorithm, but rather to produce a bank with useful geometric properties in the physical parameter space coordinates. Such properties are useful for population modeling and parameter estimation

Template bank for compact binary mergers in the fourth observing run of Advanced LIGO, Advanced Virgo, and KAGRA

Template banks containing gravitational wave (GW) waveforms are essential for matched-filtering GW search pipelines. We describe the generation method, the design, and validation of the template bank used by the GstLAL-based inspiral pipeline to analyze data from the fourth observing run of LIGO scientific, Virgo, and KAGRA collaboration. This paper presents a template bank containing $1.8 \times 10^6$ templates that include merging neutron star - neutron star, neutron star - black hole, and black hole - black hole systems up to a total mass of $400$ $M_\odot$. Motivated by observations, component masses below $3$ $M_\odot$ have dimensionless spins ranging between $\pm 0.05$, while component masses between $3$ to $200$ $M_\odot$ have dimensionless spins ranging between $\pm 0.99$, where we assume spin-aligned systems. The low-frequency cutoff is $15$ Hz. The templates are placed in the parameter space according to the metric via a binary tree approach which took $\mathcal{O}\left(10\right)$ minutes when jobs were parallelized. The template bank generated with this method has a $98\%$ match or higher for $90\%$ of the injections, thus being as effective as the template placement method used for the previous observation runs. The volumes of the templates are computed prior to template placement and the nearby templates have similar volumes in the coordinate space, henceforth, enabling a more efficient and less biased implementation of population models. SVD sorting of the O4 template bank has been renewed to use post-Newtonian phase terms, which improved the computational efficiency of SVD by nearly $4 \sim 5$ times as compared to conventional SVD sorting schemes. Template banks and searches focusing on the sub-solar mass parameter space and intermediate-mass black hole parameter space are conducted separately