scholarly journals Query Execution Algorithm in Web Environment with Limited Availability of Statistics

2004 ◽  
pp. 532-536
Author(s):  
Juliusz Jezierski ◽  
Tadeusz Morzy
Keyword(s):  
Query Execution ◽  
Limited Availability ◽  
Web Environment

Sharing Expository Texts with Preschool Children in Special Education

2015 ◽  
Vol 22 (3) ◽  
pp. 93-102 ◽  
Author(s):  
Allison Breit-Smith ◽  
Jamie Busch ◽  
Ying Guo
Keyword(s):  
Special Education ◽  
Preschool Children ◽  
Language Impairment ◽  
Listening Comprehension ◽  
Expository Texts ◽  
Speech Language Pathologists ◽  
Narrative Texts ◽  
Preschool Special Education ◽  
Limited Availability

Although a general limited availability of expository texts currently exists in preschool special education classrooms, expository texts offer speech-language pathologists (SLPs) a rich context for addressing the language goals of preschool children with language impairment on their caseloads. Thus, this article highlights the differences between expository and narrative texts and describes how SLPs might use expository texts for targeting preschool children's goals related to listening comprehension, vocabulary, and syntactic relationships.

scholarly journals Separate Universe calibration of the dependence of halo bias on cosmic web anisotropy

2020 ◽  
Vol 499 (3) ◽  
pp. 4418-4431 ◽  
Author(s):  
Sujatha Ramakrishnan ◽  
Aseem Paranjape
Keyword(s):  
Dark Matter ◽  
High Precision ◽  
Gaussian Distribution ◽  
Initial Perturbation ◽  
Analytical Framework ◽  
Web Environment ◽  
Wide Range ◽  
Galaxy Assembly ◽  
Very High ◽  
Good Agreement

ABSTRACT We use the Separate Universe technique to calibrate the dependence of linear and quadratic halo bias b1 and b2 on the local cosmic web environment of dark matter haloes. We do this by measuring the response of halo abundances at fixed mass and cosmic web tidal anisotropy α to an infinite wavelength initial perturbation. We augment our measurements with an analytical framework developed in earlier work that exploits the near-lognormal shape of the distribution of α and results in very high precision calibrations. We present convenient fitting functions for the dependence of b1 and b2 on α over a wide range of halo mass for redshifts 0 ≤ z ≤ 1. Our calibration of b2(α) is the first demonstration to date of the dependence of non-linear bias on the local web environment. Motivated by previous results that showed that α is the primary indicator of halo assembly bias for a number of halo properties beyond halo mass, we then extend our analytical framework to accommodate the dependence of b1 and b2 on any such secondary property that has, or can be monotonically transformed to have, a Gaussian distribution. We demonstrate this technique for the specific case of halo concentration, finding good agreement with previous results. Our calibrations will be useful for a variety of halo model analyses focusing on galaxy assembly bias, as well as analytical forecasts of the potential for using α as a segregating variable in multitracer analyses.

3D Strata Visualization in Web Environment – Review

2021 ◽  
Vol 767 (1) ◽  
pp. 012040
Author(s):  
Faraliyana Mohd Hanafi ◽  
Muhammad Imzan Hassan
Keyword(s):  
Web Environment

scholarly journals VULNERABILITY ASSESSMENT IN HETEROGENEOUS WEB ENVIRONMENT USING PROBABILISTIC ARITHMETIC AUTOMATA

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
A. Moshika ◽  
M. Thirumaran ◽  
N. Balaji ◽  
K. Andal ◽  
G. Sambasivam ◽  
...  
Keyword(s):  
Vulnerability Assessment ◽  
Web Environment

A succinct access to ω-hydroxylated jasmonates via olefin metathesis

2017 ◽  
Vol 72 (7-8) ◽  
pp. 285-292 ◽  
Author(s):  
Guillermo H. Jimenez-Aleman ◽  
Selina Seçinti ◽  
Wilhelm Boland
Keyword(s):  
Abiotic Stress ◽  
Olefin Metathesis ◽  
Higher Plants ◽  
Environmentally Friendly ◽  
Signaling Molecules ◽  
Synthetic Route ◽  
Limited Availability ◽  
Cross Metathesis ◽  
Physiological Processes

AbstractIn higher plants, jasmonates are lipid-derived signaling molecules that control many physiological processes, including responses to abiotic stress, defenses against insects and pathogens, and development. Among jasmonates, ω-oxidized compounds form an important subfamily. The biological roles of these ω-modified derivatives are not fully understood, largely due to their limited availability. Herein, a brief (two-step), simple and efficient (>80% yield), versatile, gram-scalable, and environmentally friendly synthetic route to ω-oxidized jasmonates is described. The approach utilizes olefin cross-metathesis as the key step employing inexpensive, commercially available substrates and catalysts.

scholarly journals CoPart: a context-based partitioning technique for big data

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sara Migliorini ◽  
Alberto Belussi ◽  
Elisa Quintarelli ◽  
Damiano Carra
Keyword(s):  
Big Data ◽  
Quality Criteria ◽  
Query Execution ◽  
Data Correlation ◽  
Huge Amount ◽  
Programming Paradigm ◽  
Computation Node ◽  
Contextual Dimension ◽  
Partitioning Technique ◽  
The Way

AbstractThe MapReduce programming paradigm is frequently used in order to process and analyse a huge amount of data. This paradigm relies on the ability to apply the same operation in parallel on independent chunks of data. The consequence is that the overall performances greatly depend on the way data are partitioned among the various computation nodes. The default partitioning technique, provided by systems like Hadoop or Spark, basically performs a random subdivision of the input records, without considering the nature and correlation between them. Even if such approach can be appropriate in the simplest case where all the input records have to be always analyzed, it becomes a limit for sophisticated analyses, in which correlations between records can be exploited to preliminarily prune unnecessary computations. In this paper we design a context-based multi-dimensional partitioning technique, called CoPart, which takes care of data correlation in order to determine how records are subdivided between splits (i.e., units of work assigned to a computation node). More specifically, it considers not only the correlation of data w.r.t. contextual attributes, but also the distribution of each contextual dimension in the dataset. We experimentally compare our approach with existing ones, considering both quality criteria and the query execution times.

Limited Availability of Medications for Cancer Patients

1993 ◽  
Vol 86 (8) ◽  
pp. 914-918 ◽  
Author(s):  
PARRISH GRANGER RABON ◽  
DONNA C. LINETTE ◽  
M FRANCISCO GONZALEZ ◽  
SHAY GARRISON ◽  
KAREN H. McGEE
Keyword(s):  
Cancer Patients ◽  
Limited Availability

Distributed numerical and machine learning computations via two-phase execution of aggregated join trees

2021 ◽  
Vol 14 (7) ◽  
pp. 1228-1240
Author(s):  
Dimitrije Jankov ◽  
Binhang Yuan ◽  
Shangyu Luo ◽  
Chris Jermaine
Keyword(s):  
Machine Learning ◽  
Query Execution ◽  
Relational System ◽  
Numerical Computations ◽  
Two Phase ◽  
Execution Strategy ◽  
Relational Joins

When numerical and machine learning (ML) computations are expressed relationally, classical query execution strategies (hash-based joins and aggregations) can do a poor job distributing the computation. In this paper, we propose a two-phase execution strategy for numerical computations that are expressed relationally, as aggregated join trees (that is, expressed as a series of relational joins followed by an aggregation). In a pilot run, lineage information is collected; this lineage is used to optimally plan the computation at the level of individual records. Then, the computation is actually executed. We show experimentally that a relational system making use of this two-phase strategy can be an excellent platform for distributed ML computations.

Loan collaterals and collateral substitutes in rural finance: a review

2015 ◽  
Vol 11 (2) ◽  
pp. 36-56
Author(s):  
MG Maiangwa
Keyword(s):  
Moral Hazard ◽  
Financial Markets ◽  
Financial Institutions ◽  
Farm Households ◽  
Rural Finance ◽  
Traditional Methods ◽  
Limited Availability ◽  
Rural Financial Markets

Poor farm households and other microentrepreneurs have difficulties in obtaining loans from banks and other financial institutions because they are unable to provide securities or collaterals for the loans. Collaterals on loans reduce uncertainty and moral hazard problems for creditors. They also serve as a measure of the seriousness of the borrower. The limited availability of conventional collaterals in rural financial markets has led to the acceptance of non-traditional methods of loan security referred to as collateral substitutes. This paper reviews loan collaterals and collateral substitutes in the rural financial markets of developing countries.Keywords:: Collaterals, collateral substitutes, rural finance.

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