نتایج جستجو برای: ram model
تعداد نتایج: 2111007 فیلتر نتایج به سال:
We define the concept of and present provably secure constructions for Anonymous RAM (AnonRAM), a novel multi-user storage primitive that offers strong privacy and integrity guarantees. AnonRAM combines privacy features of anonymous communication and oblivious RAM (ORAM) schemes, allowing it to protect, simultaneously, the privacy of content, access patterns and user’s identity, from curious se...
Comparing regression-adjusted mortality to standardized mortality ratios for trauma center profiling
BACKGROUND Trauma center profiling is commonly performed with Standardized Mortality Ratios (SMRs). However, comparison of SMRs across trauma centers with different case mix can induce confounding leading to biased trauma center ranks. We hypothesized that Regression-Adjusted Mortality (RAM) estimates would provide a more valid measure of trauma center performance than SMRs. OBJECTIVE Compare...
Freezing of ejaculated and epididymal spermatozoa is currently a subject of interest with the purpose of establishing an efficient gene banking model for valuable animals or endangered species. Therefore, the present study evaluated the influence of different storage duration )0, 1.5 and 5 h) at 5 ºC and type of cryoprotectant on freezability of ram epididymal spermatozoa. With increasing the s...
Solving an acoustic wave equation using a parabolic approximation is popular approach for many existing ocean models. Commonly used (PE) model programs, such as the range-dependent (RAM), are discretized by finite difference method (FDM). Considering idea and theory of wide-angle rational approximation, discrete PE Chebyshev spectral (CSM) derived, code developed. This currently suitable only r...
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
In large-scale machine learning, available memory (RAM) is often a key constraint, both during model training and when making new predictions. In this paper, we reduce memory cost by projecting our weight vector β ∈ R onto a coarse discrete set using randomized rounding. Because the values of the discrete set can be stored more compactly than standard 32-bit float encodings, this reduces RAM us...
To evaluate the cognitive phenotype of the segmental trisomy 16 (Ts65Dn) mouse, a model of Down Syndrome (DS, trisomy 21), we assessed spatial working and reference memory using a 12-arm radial maze (RAM). Ts65Dn mice made a greater number of reference memory errors across trials compared to control mice. Both genotypes showed improvement across trials, although improvement was slower in Ts65Dn...
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