The Grizzly, April 14, 1998

The Poetry of an Outlaw • Ursinus Grad Makes it Big • Opinion: Change Ursinus, Change Yourself • Letter to the Editor • Coontz Lectures at Ursinus • Ursinus Gets Involved with Habitat for Humanity • Not Too Late to Sign-Up for Spring Service Day • The Class of \u2799 Hosts Third Annual Wingbowl • And the Winner of Mr. Ursinus 1998 Is... • The End of Lollapalooza? • Diversity Week at Ursinus • UC Women\u27s Lacrosse Team Battles for Second Place in Conference • UC Softball Sweeps Washington • Ursinus Golf Suffers 1st Defeat in Three Years • Women\u27s Tennis Team Heads in Positive Direction • UC Baseball Remains Tied for Second • Track Runs Strong Against Tough Competitionhttps://digitalcommons.ursinus.edu/grizzlynews/1419/thumbnail.jp

Genome-wide analysis identifies 12 loci influencing human reproductive behavior.

The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits

Neural Networks on GPUs: Restricted Boltzmann Machines

Despite the popularity and success of neural networks in research, the number of resulting commercial or industrial applications have been limited. A primary cause of this lack of adoption is due to the fact that neural networks are usually implemented as software running on general-purpose processors. In this paper, we investigate how GPUs can be used to take advantage of the inherent parallelism in neural networks to provide a better implementation in terms of performance. We will focus on the Restricted Boltzmann machine, a popular type of neural network. The algorithm is tested on a NVIDIA GTX280 GPU, resulting in a computational speed of 672 million connections-per-second and a speed-up of 66-fold over an optimized C++ program running on a 2.83GHz Intel processor

Offering a virtual round table - some reflections on a multi-stakeholder collaborative learning exercise in the context of the establishment of the Ngoc Son Ngo Luong nature reserve

Departement Pedagogische wetenschappen. Afdeling Fundamentele en comparatieve pedagogiek en methodologie. Centrum voor Sociale en beroepspedagogiek. Departement Agrotechniek en -economie. Afdeling Fysico-chemische geologie. Centrum voor Fundamentele pedagogiek. Centrum voor Comparatieve, interculturele en ontwikkelingspedagogiek. Afdeling Sociale pedagogiek en gezinspedagogiek. Afdeling Arbeids- en organisatiepsychologie. Centrum voor Organisatie en personeelspsychologie. Centrum voor Permanente vorming in beroepen en organisaties (CPVBO) Divisie Incentim.status: publishe