104,356 research outputs found
An overview of the ATLAS High Level Trigger Dataflow and Supervision.
The ATLAS high-level trigger (HLT) system provides software-based event selection after the initial LVL1 hardware trigger. It is composed of two stages, the LVL2 trigger and the event filter (EF). The LVL2 trigger performs event selection with optimized algorithms using selected data guided by Region of Interest pointers provided by the LVL1 trigger. Those events selected by LVL2 are built into complete events, which are passed to the EF for a further stage of event selection and classification using off-line algorithms. Events surviving the EF selection are passed for off-line storage. The two stages of HLT are implemented on processor farms. The concept of distributing the selection process between LVL2 and EF is a key element in the architecture, which allows it to be flexible to changes (luminosity, detector knowledge, background conditions, etc.) Although there are some differences in the requirements between these subsystems there are many commonalities. An overview of the dataflow (event selection) and supervision (control, configuration, monitoring) activities in the HLT is given, highlighting where commonalities between the two subsystems can be exploited and indicating where requirements dictate that implementations differ. An HLT prototype system has been built at CERN. Functional testing is being carried out in order to validate the HLT architecture
rodolfokeesey/Liquid-Handler: v1.0.1
Added limited G-Code support, licensing information, and small updates to 3D assets
FACTORS INFLUENCING FARMERS' SELECTION OF A MILK HANDLER
A structural probit model is estimated to determine the change in the probability of selecting a milk handler. Cooperatives are thought to have lower prices and higher deductions than independent milk handlers and these factors reduce the probability that a farmer will select a cooperative by 0.39 and 0.32. Cooperatives are thought to have better services and an assured market and payment than independent mile handlers and these factors increase the probability that a farmer will select a cooperative by 0.20 and 0.26. This indicates that many cooperative members value monetary characteristics over non-monetary characteristics.Cooperatives, Processors, Attributes, Selection, Probit, Dairy, Livestock Production/Industries,
Motor laterality in domestic dogs: does the familiarity with the handler influence the paw preference?
The term laterality refers to the preference most mammals show for one body side over
the other. The aim of this study was to evaluate the reproducibility of the First-stepping
test (Tomkins et al., 2010) in relation to the familiarity with the handler. Thirty-eight
adult dogs (22 females, 16 males, different breeds) were tested twice in a modified version
of Tomkins’ test (30 repetitions instead of 50), once with the owner and once with an unfamiliar
handler, one day apart.
The paw preference (PP) for each dog in both tests was determined as suggested by
Tomkins et al. (2010), calculating the lateralization index and considering a significant
preference for Z-scores < − 1.96 (left PP) or > + 1.96 (right PP).
There was a low concordance between the Z-scores of the two tests (Cohens’ Kappa coefficient
= 0.44). In detail, the Z-score of 14 dogs was different in relation to the familiarity
with the handler: 1 dog showed a right PP with the owner and a left PP with the unfamiliar
handler; 9 dogs showed a non-significant Z-score with the owner and a significant
Z-score with the unfamiliar handler; 4 dogs showed a significant Z-score with the owner
and a non-significant Z-score with the unfamiliar handler.
Previous literature on dogs and other mammals reports that laterality is strongly
task-dependent. The current findings suggest that PP may be influenced by other factors,
such as the familiarity with the handler, which should be taken into account when testing
animals for motor laterality
Impact of the abolition of food handler certification on notification rates of foodborne diseases in Italy
to assess the trends of foodborne diseases in respect of the abolition of food handler certification by Italian Regions
Bibliographie Hilarion G. Petzold 1958 – 2009 mit Anhang als Einführung
Dieses Archiv enthält die Gesamtbibliographie der Werke des Autors nebst einiger Texte „Über H. G. Petzold“ im Schlussteil der Bibliographie sowie einen Anhang mit einer Einführung in die Architektur des Werkes in seinem wissenslogischen Aufbau als Ausarbeitung seines „Tree of Science Modells“ (2007).This archive contains the complete bibliography of the author and some texts about H. G. Petzold, moreover an epilogue with an introduction to the architecture of the works in its epistemological structure and composition and as an elaborations of Petzold’s „Tree of Science Modell (2007).https://www.fpi-publikation.de/polyloge/01-2009-petzold-h-g-gesamtbibliographie-h-g-petzold-1958-2009-updating-november2009/peerReviewedpublishedVersio
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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3346: Samuel G. Freedman, author, 2013
Photograph of author Samuel G. Freedman, at NT Daily Slash meeting in the Mayborn School of Journalism at UNT
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