2,482 research outputs found
Memristor-based Random Access Memory: The delayed switching effect could revolutionize memory design
Memristor’s on/off resistance can naturally store binary bits for non-volatile memories. In this work, we found that memristor’s another peculiar feature that the switching takes place with a time delay (we name it “the delayed switching”) can be used to selectively address any desired memory cell in a crossbar array. The analysis shows this is a must-be in a memristor with a piecewise-linear ?-q curve. A “circuit model”-based experiment has verified the delayed switching feature. It is demonstrated that memristors can be packed at least twice as densely as semiconductors, achieving a significant breakthrough in storage density
Factors associated with the dissemination of Salmonellae in turkey products and processing plants
The Effect of RAL Implants on Lamb Performance
One way to improve rate and efficiency of lamb production is by the use of growth stimulating compounds. Resorcylic Acid Lactone (RAL) is a relatively new growth stimulating compound that has been shown to improve weight gains and feed efficiency of growing and finishing beef cattle. South Dakota researchers have reported 13% faster gains on 9.7% less feed for yearling steers implanted with 36 mg. RAL when compared to control steers. Two trials were conducted to determine if a 12 mg. implant of RAL would be effective in improving performance of young growing lambs
Estrous Synchonization, Crossbreeding and Antibiotic Feeding for Improved Ewe and Lamb Performance
Increased productivity and more efficient management of the ewe flock will enable the sheep industry to better compete with other livestock operations. Improved lambing percentage, decreased mortality of lambs from birth to weaning and a more uniform lamb crop will assure a greater return on ewe investment. Controlled breeding would achieve a shortened lambing period and a more uniform lamb crop. The better management necessary for a shortened, more rapid lambing may result in more lambs saved and marketed. More vigorous lambs and a lower death loss may be expected from crossbreeding and the use of antibiotics in the ewe ration at lambing time
Equivariant flow matching
Normalizing flows are a class of deep generative models that are especially
interesting for modeling probability distributions in physics, where the exact
likelihood of flows allows reweighting to known target energy functions and
computing unbiased observables. For instance, Boltzmann generators tackle the
long-standing sampling problem in statistical physics by training flows to
produce equilibrium samples of many-body systems such as small molecules and
proteins. To build effective models for such systems, it is crucial to
incorporate the symmetries of the target energy into the model, which can be
achieved by equivariant continuous normalizing flows (CNFs). However, CNFs can
be computationally expensive to train and generate samples from, which has
hampered their scalability and practical application. In this paper, we
introduce equivariant flow matching, a new training objective for equivariant
CNFs that is based on the recently proposed optimal transport flow matching.
Equivariant flow matching exploits the physical symmetries of the target energy
for efficient, simulation-free training of equivariant CNFs. We demonstrate the
effectiveness of our approach on many-particle systems and a small molecule,
alanine dipeptide, where for the first time we obtain a Boltzmann generator
with significant sampling efficiency without relying on tailored internal
coordinate featurization. Our results show that the equivariant flow matching
objective yields flows with shorter integration paths, improved sampling
efficiency, and higher scalability compared to existing methods
Product assurance policies and procedures for flight dynamics software development
The product assurance policies and procedures necessary to support flight dynamics software development projects for Goddard Space Flight Center are presented. The quality assurance and configuration management methods and tools for each phase of the software development life cycles are described, from requirements analysis through acceptance testing; maintenance and operation are not addressed
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