12,200 research outputs found
An auxin-mediated ultradian rhythm positively influences root regeneration via EAR1/EUR1 in Arabidopsis
No full textUltradian rhythms have been proved to be critical for diverse biological processes. However, comprehensive understanding of the short-period rhythms remains limited. Here, we discover that leaf excision triggers a gene expression rhythm with ~3-h periodicity, named as the excision ultradian rhythm (UR), which is regulated by the plant hormone auxin. Promoter–luciferase analyses showed that the spatiotemporal patterns of the excision UR were positively associated with de novo root regeneration (DNRR), a post-embryonic developmental process. Transcriptomic analysis indicated more than 4,000 genes including DNRR-associated genes were reprogramed toward ultradian oscillation. Genetic studies showed that EXCISION ULTRADIAN RHYTHM 1 (EUR1) encoding ENHANCER OF ABSCISIC ACID CO-RECEPTOR1 (EAR1), an abscisic acid signaling regulator, was required to generate the excision ultradian rhythm and enhance root regeneration. The eur1 mutant exhibited the absence of auxin-induced excision UR generation and partial failure during rescuing root regeneration. Our results demonstrate a link between the excision UR and adventitious root formation via EAR1/EUR1, implying an additional regulatory layer in plant regeneration. Copyright © 2023 Vu, Song, Park, Xu, Nam and Hong.11Nsciescopu
Influential Factors on Level of Injury in Pedestrian Crashes: Applications of Ordered Probit Model with Robust Standard Errors
No full textPedestrian-involved crashes that occurred in the city of San Francisco over a six-year period, 2002–2007, were analyzed to examine various influential factors on the injury severity of pedestrian crashes. The crash data extracted from the Statewide Integrated Traffic Records System (SWITRS) include five categorical levels of injury severity in traffic crashes also in addition to detailed information about the features of each crash. This study applied an ordered probit model for injury severity analysis to specify the ordinal nature of injury categories. To draw unbiased implications from the estimated parameters, statistical tests were performed on the parameters based on robust standard errors. Then, the marginal effects of each variable on the likelihood of each injury level were computed. The variables that significantly increased the probability of severe injury and fatality were: i) age (under age 15 and over age 65), alcohol consumption and cell phone use among pedestrian characteristics; ii) nighttime, weekends and rainy weather among environmental characteristics; and iii) influence of alcohol, larger vehicles (pickups, buses and trucks) and vehicle proceeding straight when striking a pedestrian among crash characteristics. Crash characteristics were found to influence significantly on the level of pedestrian injury. Based on the findings of this analysis, policy implications and countermeasures are also discussed
Author Identification from Song Lyrics
No full textMachine Learning (ML) tools have been used extensively in a wide variety of domains
recently. Due the enormous amount of data being produced, machine learning techniques
are being heavily used to make sense of data & derive meaningful results. Using machine
learning tools, we can turn the data into knowledge.
Music is one of the truest forms of art. Bangladesh has a great history of music with a
great tradition of song writing over centuries. Authorship attribution is the way of
identifying the author from a linguistic corpus.
This paper demonstrates a guideline to identify the author of a Bengali song from the
lyrics of that song using machine learning. This research work presents the first work on
machine learning approach for author attribution from the lyrics of a song. Here six
methods of machine learning are used for the author identification and high accuracies
have been achieved from these methods. It is observed that Naïve Bayes method provides
higher accuracy in comparison with the other methods
Song
No full textAuthor attribution from Rudolph, 240. Printed on yellow paper with black ink. Set to the tune of "Happy land of Canaan". First line "You Rebels come along and listen to my song"
Investigation of Attributes of Kinematic Waves Preceding Traffic Collisions
No full textThe present study examines attributes of backward-moving kinematic waves that preceded traffic collisions in the vicinity of a recurrent bottleneck and compares with the ones from collision free days. The speed of backward moving waves accompanying traffic collisions were faster than the ones observed from collision free days. Traffic states observed prior to collisions were closer to the semi-congested state. Duration and frequency of kinematic waves, and the speed difference in traffic states before and after the passage of waves are also examined. Attributes of kinematic waves accompanying the secondary traffic collisions are briefly discussed in the paper. The findings indicate different attributes of kinematic waves can be used as a safety surrogate measure
The Singer or the Song? Developments in Performers' Rights from the Perspective of a Cultural Economist
No full textOver the last century, performers gradually acquired statutory protection of their economic and moral
rights. These rights are not copyright in the legal sense but neighboring rights and until recently, they
were mainly remuneration rights that are collectively administered. With the WPPT (WIPO
Performers and Phonograms Treaty), performers now have individual exclusive rights for digital
performances; this leads to the question: what has motivated this change – is it a change in the
perception of the value of performer or a change brought about by the changing technology of copying or,
indeed, a change that reflects different economic costs and benefits? The paper discusses the role of
copyright law as an incentive to performers and asks if the economic role of the performer is so different
from that of the author. The conclusion is that a complex interaction of the legal regulations, economic
conditions and institutional arrangements for administering these new rights will determine the outcome
Freemasons\u27 Song
No full textSong concerning pride in Freemasonryhttps://egrove.olemiss.edu/kgbsides_uk/1560/thumbnail.jp
Northumberland Election Song
No full textA song for a political candidate.https://egrove.olemiss.edu/kgbsides_uk/1899/thumbnail.jp
Song of Haymakers
No full textA song about working in the hayfields during summer.https://egrove.olemiss.edu/kgbsides_uk/1628/thumbnail.jp
Appendix to Esther's Song
No full textNotes - 'Esther's Song' with descriptive entries on friends, associates, and family members (125 pages)Appendi
- …
