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In many recent object recognition systems, feature extraction stages are generally composed of a filter bank, a non-linear transformation, and some sort of feature pooling layer. Most systems use only one stage of feature extraction in which the filters are hard-wired, or two stages where the filters in one or both stages are learned in supervised or(More)
In this work we present a system to automatically learn features from audio in an unsupervised manner. Our method first learns an overcomplete dictionary which can be used to sparsely decompose log-scaled spectrograms. It then trains an efficient encoder which quickly maps new inputs to approximations of their sparse representations using the learned(More)
In this report the effectiveness of low-energy alpha particles in the range 0.4 to 3.5 MeV for cell killing is investigated. Four cell lines of different nuclear dimensions (AG1522, C3H 10T1/2, CHO-10B, and HS-23) are studied. Monte Carlo simulations are carried out to interpret the experimental results. They are presented as a function of dose to the(More)
We have measured the 31P nuclear magnetic resonance spectra of EMT6/Ro multicellular tumor spheroids over a wide range of sizes under constant nutrient conditions which matched those used for culturing the spheroids. The amount of nucleotide triphosphate per cell decreased with spheroid growth, roughly in proportion to the decrease in cell volume. There was(More)
Globally, there has been an increase in the use of herbal remedies including traditional Chinese medicine (TCM). There is a perception that products are natural, safe and effectively regulated, however, regulatory agencies are hampered by a lack of a toolkit to audit ingredient lists, adulterants and constituent active compounds. Here, for the first time, a(More)
There is still controversy over whether the oxygen enhancement ratio (OER) varies as a function of dose and cell cycle phase. In the present study, the OER has been measured as a function of survival level and cell cycle phase using volume flow cell sorting. This method allows both the separation of cells in different stages of the cycle from an(More)
"Sickle cell anemia: tracking down a mutation" is a full-day, inquiry-based, biology experience for high school students enrolled in genetics or advanced biology courses. In the experience, students use restriction endonuclease digestion, cellulose acetate gel electrophoresis, and microscopy to discover which of three putative patients have the sickle cell(More)
Nuclear magnetic resonance microimaging measurements of the self-diffusion coefficient of water in large (greater than 2 mm) EMT-6 multicellular spheroids were performed in order to elucidate diffusion mechanisms in tumors. Pulsed gradient spin echo-imaging methods were developed for measuring diffusion in an intravoxel multicompartment system. The(More)
A 2.5 cm segment of the rectum of female F344 rats was irradiated with up to 10 fractions of X-rays or pions. Transient signs of acute proctitis were followed by chronic rectal injury starting at about 2 months. Recto-vaginal fistulas were frequently observed in animals with severe chronic injury. Two patterns of chronic injury were observed, an early type(More)
Purely supervised Convolutional Networks yield excellent accuracy on image recognition tasks when data is plentiful [1]. But until now, they have not produced state-of-the-art accuracy on object recognition benchmarks for which few labeled samples per category are available. For example, on the popular Caltech-101 dataset with 30 samples for each of the 101(More)