Network Meta-Analysis Techniques for Synthesizing Prevention Science Evidence

2021 ◽  
Author(s):  
G Seitidis ◽  
S Nikolakopoulos ◽  
EA Hennessy ◽  
EE Tanner-Smith ◽  
D Mavridis
Keyword(s):  
Meta Analysis ◽  
Prevention Science ◽  
Analysis Techniques ◽  
Science Evidence

A Framework to Compare Estimated and Measured Power Consumption on FPGAs

2019 ◽  
Vol 15 (4) ◽  
pp. 329-337
Author(s):  
Juan P. Oliver ◽  
Federico Favaro ◽  
Eduardo Boemo
Keyword(s):  
Power Consumption ◽  
Meta Analysis ◽  
Main Idea ◽  
Power Estimation ◽  
Pattern Generator ◽  
Analysis Techniques ◽  
Input Signals ◽  
Ip Cores ◽  
On Chip ◽  
Relative Errors

In this paper, an extensive review of the available publications about comparing estimations versus measurements of power consumption in FPGA technology is carried out. This study reveals that the variety of experimental setups makes it difficult to elaborate solid studies departing from the results of different researchers using meta-analysis techniques. To mitigate this problem, we propose a procedure to standardize the setup of FPGA power estimation experiments. The goal is to make as close as possible power estimations and their corresponding actual on-chip measurements. The main idea is to use a fixed arrangement composed by a parameterized pattern generator block at the input, together with a set of interchangeable IP cores utilized as reference circuits. All the blocks are mapped together inside the FPGA sample, being the clock and reset lines the sole input signals. Thus, both power estimation and actual measurements are performed to the whole system in identical conditions. In order to illustrate the method, the paper includes some examples of the proposed methodology for different cores. A set of 25 circuits have been tested in two FPGA families, obtaining relative errors in power estimation between –61.5% and 9.2%.

scholarly journals PRM7 A Review and Applied Comparison of Meta-Analysis Techniques

2012 ◽  
Vol 15 (4) ◽  
pp. A160
Author(s):  
C. Lewis-Beck ◽  
E. Baser ◽  
O. Baser
Keyword(s):  
Meta Analysis ◽  
Analysis Techniques

scholarly journals Comparison of multiplex meta analysis techniques for understanding the acute rejection of solid organ transplants

2010 ◽  
Vol 11 (S9) ◽  
Author(s):  
Alexander A Morgan ◽  
Purvesh Khatri ◽  
Richard Hayden Jones ◽  
Minnie M Sarwal ◽  
Atul J Butte
Keyword(s):  
Acute Rejection ◽  
Meta Analysis ◽  
Solid Organ ◽  
Organ Transplants ◽  
Analysis Techniques

Industry specialization and audit fees: a meta-analytic approach

2015 ◽  
Vol 28 (3) ◽  
pp. 419-435 ◽  
Author(s):  
Cristina de Fuentes ◽  
Eva Sierra
Keyword(s):  
Meta Analysis ◽  
Audit Fees ◽  
Future Research ◽  
Published Data ◽  
Industry Specialization ◽  
Content Type ◽  
Analysis Techniques ◽  
Audit Market ◽  
Regulatory Bodies ◽  
Auditor Specialization

Purpose The purpose of this paper is to provide a comprehensive review of the literature that links auditor’s industry specialization (AIS) and audit fees (AFs) in order to clarify the puzzle of published results and provide overall conclusions that would help in future research. Design/methodology/approach To achieve this goal, the authors applied meta-analysis techniques in order to summarize, quantify and evaluate the published data related to the association between AIS and AF. Findings The meta-results are more robust when the proxy for AIS is the audit firm’s market share above 20 percent or the audit firm is jointly the national and city leader. For US-based studies, results are homogeneous in the post-SOX period. This is likely due to the higher demand for specialized auditors. The authors found positive and homogeneous results in the upper and lower market segment, which led to the conclusion that the bargaining power of the big auditees does not fully counteract the higher auditor specialization costs. Although the authors identified a publication selection bias, a specialization coefficient of around 2.0 percent was estimated. Originality/value The conclusions are relevant for those researchers that would benefit from a structured and systematic review of the published results. The outcomes help to understand the somehow contradictory empirical evidence and to provide solid foundations for future hypothesis developments. This contribution is also relevant for the regulatory bodies, always watchful of audit market behavior and the evolution of audit prices.

scholarly journals C. elegansexhibits coordinated oscillation in gene activation in single-cell developmental data

2017 ◽  
Author(s):  
Luke A.D. Hutchison ◽  
Bonnie Berger ◽  
Isaac Kohane
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Meta Analysis ◽  
Gene Activation ◽  
Developmental Genes ◽  
Division Rate ◽  
Developmental Processes ◽  
Anatomy Ontology ◽  
Analysis Techniques ◽  
Cell Phenotypes

AbstractBackgroundThe advent ofin vivoautomated single-cell lineaging and sequencing will dramatically increase our understanding of development. New integrative analysis techniques are needed to generate insights from single-cell developmental data.ResultsWe applied novel meta-analysis techniques to the EPIC single-cell-resolution developmental gene expression dataset forC. elegansto show that a simple linear combination of the expression levels of the developmental genes is strongly correlated with the developmental age of the organism, irrespective of the cell division rate of different cell lineages. We uncovered a pattern of collective sinusoidal oscillation in gene activation, in multiple dominant frequencies and in multiple orthogonal axes of gene expression, pointing to the existence of a coordinated, multi-frequency global timing mechanism. We developed a novel method based on Fisher’s Discriminant Analysis (FDA) to identify linear gene expression weightings that are able to produce sinusoidal oscillations of any frequency and phase, adding to the evidence that oscillatory mechanisms likely play an important role in the timing of development. We cross-linked EPIC with gene ontology and anatomy ontology terms, employing FDA methods to identify previously unknown positive and negative genetic contributions to developmental processes and cell phenotypes.ConclusionsThis meta-analysis demonstrates new evidence for direct linear and/or sinusoidal mechanisms regulating the timing of development. We uncovered a number of previously unknown positive and negative correlations between developmental genes and developmental processes or cell phenotypes. The presented novel analysis techniques are broadly applicable within developmental biology.

scholarly journals Forensic Microbiome Database: A Tool for Forensic Geolocation Meta-Analysis Using Publicly Available 16S rRNA Microbiome Sequencing

2021 ◽  
Vol 12 ◽  
Author(s):  
Harinder Singh ◽  
Thomas Clarke ◽  
Lauren Brinkac ◽  
Chris Greco ◽  
Karen E. Nelson
Keyword(s):  
16S Rrna ◽  
Personal Information ◽  
Meta Analysis ◽  
Human Microbiome ◽  
Data Set ◽  
Scientific Communities ◽  
Raw Data ◽  
Analysis Techniques ◽  
Dynamic Graphics ◽  
Downstream Analysis

The human microbiome has been proposed as a tool to investigate different forensic questions, including for the identification of multiple personal information. However, the fragmented state of the publicly available data has retarded the development of analysis techniques and, therefore, the implementation of microbiomes as a forensic tool. To address this, we introduce the forensic microbiome database (FMD), which is a collection of 16S rRNA data and associated metadata generated from publicly available data. The raw data was further normalized and processed using a pipeline to create a standardized data set for downstream analysis. We present a website allowing for the exploration of geolocation signals in the FMD. The website allows users to investigate the taxonomic differences between microbiomes harvested from different locations and to predict the geolocation of their data based on the FMD sequences. All the results are presented in dynamic graphics to allow for a rapid and intuitive investigation of the taxonomic distributions underpinning the geolocation signals and prediction between locations. Apart from the forensic aspect, the database also allows exploration and comparison of microbiome samples from different geolocation and between different body sites. The goal of the FMD is to provide the scientific and non-scientific communities with data and tools to explore the possibilities of microbiomes to answer forensic questions and serve as a model for any future such databases.1

scholarly journals META ANALISIS DAMPAK LATIHAN DRY-LAND TERHADAP PENINGKATAN PERFORMA ATLET POLO AIR

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Jaka Mumara ◽  
Hamidie Ronald Daniel Ray ◽  
Boyke Mulyana
Keyword(s):  
Research Method ◽  
Quantitative Methods ◽  
Meta Analysis ◽  
Training Model ◽  
Impact Factors ◽  
Dry Land ◽  
H Index ◽  
Analysis Techniques ◽  
Water Polo ◽  
Test Result

This research was aimed at studying dry-land training on the performance of water polo athletes, starting from the dry-land training model to improving the performance of water polo athletes. The research method used was the quantitative methods with meta-analysis techniques. The research method presented an analysis of the publication of scientific journals in reputable international journals and reputable national journals relating to dry-land training on improving the performance of water polo athletes. The samples of this study were scientific articles that were published in an international journal, indexed in the highly reputable Scopus database category Q1/Q2 with H-Index, and articles that were published in an international journal with the Elsevier homepage with Impact Factors from 2014-2020. The instrument used in this study was the code submission sheet. The data analysis was conducted through SPSS version 21. The test result obtained significance values p 0.05, so that the dry land training model provided a valid effect size in improving the performance of water polo athletes. Therefore,   was refused. The conclusion of this study is that the dry-land training model provides a significant effect on the performance of water polo athletes. The study also concludes that the Athlete's age, exercise intensity, and compliance with training rules become the factors that affect the improvement of water polo athlete performance.

Accounting for intangible assets – insights from meta-analysis of R&D research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anne Jeny ◽  
Rucsandra Moldovan
Keyword(s):  
Stock Market ◽  
Value Relevance ◽  
Meta Analysis ◽  
Future Research ◽  
Intangible Asset ◽  
Content Type ◽  
Main Research ◽  
Analysis Techniques ◽  
Research Questions ◽  
Robust Evidence

PurposeThe knowledge- and Internet-based economy demands a reexamination of the accounting treatment for intangibles and a thorough understanding of the empirical evidence on this topic.Design/methodology/approachThe study reviews the literature on research and development (R&D), a specific internally developed intangible asset, using meta-analysis techniques that allow to highlight the areas of consensus and disagreement in quantitative empirical results. The literature the authors review addresses four main research questions on (1) the determinants of the decision to capitalize R&D, (2) stock market-based outcomes of capitalizing R&D, (3) firm-based outcomes related to expensing R&D and (4) stock market-based outcomes of expensing R&D.FindingsThe authors find higher value relevance of capitalized compared with expensed R&D. There is, however, little robust evidence on the determinants of the capitalization decision and the characteristics of capitalizers.Originality/valueThe authors conclude by highlighting future research that can allow accounting academics to contribute to standard setting.

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