Lamento nocturno, ó Meditaciones de Young.

Mode of access: Internet.

Spittler's Entwurf der Geschichte der europäischen Staaten.

Errata: v. 1, ℓ. )(7 verso; v. 2, ℓ. )(3 verso.

Nine Greek dramas /

The house of Atreus (Aeschylus) tr. by E.D.A. Morshead.- Prometheus bound (Aeschylus) tr. by E.H. Plumptre.- Oedipus, the king (Sophocles).- Antigone (Sophocles) tr. by E.H. Plumptre.- Hippolytus (Euripides).- The Bacchae (Euripides) tr. by Gilbert Murray.- The frogs (Aristophanes) tr. by B.B. Rogers.

History of Iowa from the earliest times to the beginning of the twentieth century /

Includes index.

The field of disease;

Mode of access: Internet.

Rev. Pat. Thomas ex Charmes Ord. Capucinorum Theologia universa ad usum sacræ theologiæ candidatorum... .

Mode of access: Internet.

Studying Recommender Systems to Enhance Distributed Computing Schedulers

Distributed Computing frameworks belong to a class of programming models that allow developers to

launch workloads on large clusters of machines. Due to the dramatic increase in the volume of

data gathered by ubiquitous computing devices, data analytic workloads have become a common

case among distributed computing applications, making Data Science an entire field of

Computer Science. We argue that Data Scientist's concern lays in three main components: a dataset,

a sequence of operations they wish to apply on this dataset, and some constraint they may have

related to their work (performances, QoS, budget, etc). However, it is actually extremely

difficult, without domain expertise, to perform data science. One need to select the right amount

and type of resources, pick up a framework, and configure it. Also, users are often running their

application in shared environments, ruled by schedulers expecting them to specify precisely their resource

needs. Inherent to the distributed and concurrent nature of the cited frameworks, monitoring and

profiling are hard, high dimensional problems that block users from making the right

configuration choices and determining the right amount of resources they need. Paradoxically, the

system is gathering a large amount of monitoring data at runtime, which remains unused.

In the ideal abstraction we envision for data scientists, the system is adaptive, able to exploit

monitoring data to learn about workloads, and process user requests into a tailored execution

context. In this work, we study different techniques that have been used to make steps toward

such system awareness, and explore a new way to do so by implementing machine learning

techniques to recommend a specific subset of system configurations for Apache Spark applications.

Furthermore, we present an in depth study of Apache Spark executors configuration, which highlight

the complexity in choosing the best one for a given workload.

Benjamin lee a Proust : El cuerpo de la experiencia

Fil: Hlebovich, Ludmila. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina.

Benjamin lee a Proust : El cuerpo de la experiencia

Fil: Hlebovich, Ludmila. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina.

Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics

A detailed study is presented of the expected performance of the ATLAS detector. The reconstruction of tracks, leptons, photons, missing energy and jets is investigated, together with the performance of b-tagging and the trigger. The physics potential for a variety of interesting physics processes, within the Standard Model and beyond, is examined. The study comprises a series of notes based on simulations of the detector and physics processes, with particular emphasis given to the data expected from the first years of operation of the LHC at CERN.

William Van Every fonds, 1784, 1804-1806, 1815-1816, 1828, 1832, n.d.

William Van Every, son of McGregory and Mary Wilcox (Jaycocks) Van Every, was born in New York state in 1765. During the Revolutionary War he joined Butler’s Rangers and served under Captain John McDonnell. He was granted three lots of land in the Township of Niagara, with additional lands granted at later dates. William married Elizabeth, daughter of George Young. Elizabeth was the widow of Col. Frederick Dochstader and mother of Catherine Dochstader, b. 1781. William Van Every died in 1832, his wife Elizabeth in 1851. Both are buried in the Warner Cemetery, in present day Niagara Falls. The children of William Van Every and Elizabeth Young were Mary, Elizabeth, Phoebe, John, Peter, William, Rebecca, Samuel and Joseph. Source: Mary Blackadar Piersol, The Records of the Van Every Family, Toronto : Best Printing, 1947. And, Patricia M. Orr, Historic Woodend, sponsored by Niagara Peninsula Conservation Authority, 1980?