Sēfer branṭ špigl : ir frome laiṭ komṭ her un koifṭ eine unṭer waizung un ler di'iz azo guṭ un ebin un brengṭ den menšin tzu iving lebn in gan ʿEden tzu zitzn miṭ grośn freidn

daz du haṭ meḥabbēr giwezn ... Mōše Henochś

Maḥarozet : zemirot u-misḥakim le-gan ha-yeladim u-le-vet ha-sefer

Leṿin Ḳipnis

Bufferless Compression of Asynchronously Sampled ECG Signals in Cubic Hermitian Vector Space.

Asynchronous level crossing sampling analog-to-digital converters (ADCs) are known to be more energy efficient and produce fewer samples than their equidistantly sampling counterparts. However, as the required threshold voltage is lowered, the number of samples and, in turn, the data rate and the energy consumed by the overall system increases. In this paper, we present a cubic Hermitian vector-based technique for online compression of asynchronously sampled electrocardiogram signals. The proposed method is computationally efficient data compression. The algorithm has complexity O(n), thus well suited for asynchronous ADCs. Our algorithm requires no data buffering, maintaining the energy advantage of asynchronous ADCs. The proposed method of compression has a compression ratio of up to 90% with achievable percentage root-mean-square difference ratios as a low as 0.97. The algorithm preserves the superior feature-to-feature timing accuracy of asynchronously sampled signals. These advantages are achieved in a computationally efficient manner since algorithm boundary parameters for the signals are extracted a priori.

Assessing time-by-covariate interactions in Cox proportional hazards regression models using cubic spline functions

This dissertation develops and explores the methodology for the use of cubic spline functions in assessing time-by-covariate interactions in Cox proportional hazards regression models. These interactions indicate violations of the proportional hazards assumption of the Cox model. Use of cubic spline functions allows for the investigation of the shape of a possible covariate time-dependence without having to specify a particular functional form. Cubic spline functions yield both a graphical method and a formal test for the proportional hazards assumption as well as a test of the nonlinearity of the time-by-covariate interaction. Five existing methods for assessing violations of the proportional hazards assumption are reviewed and applied along with cubic splines to three well known two-sample datasets. An additional dataset with three covariates is used to explore the use of cubic spline functions in a more general setting. ^

Lanusse o el arte de lo imposible. El lanzamiento del GAN (marzo-mayo de 1971)

Fil: De Amézola, Gonzalo Alvaro. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.

Lanusse o el arte de lo imposible. El lanzamiento del GAN (marzo-mayo de 1971)

Fil: De Amézola, Gonzalo Alvaro. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.

Lanusse o el arte de lo imposible. El lanzamiento del GAN (marzo-mayo de 1971)

Fil: De Amézola, Gonzalo Alvaro. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.