scholarly journals HESS Opinions: Repeatable research: what hydrologists can learn from the Duke cancer research scandal

2016 ◽  
Vol 20 (9) ◽  
pp. 3739-3743 ◽  
Author(s):  
Michael N. Fienen ◽  
Mark Bakker
Keyword(s):  
Cancer Research ◽  
Data Analysis ◽  
Data Management ◽  
Open Source ◽  
Modeling Effort ◽  
Cancer Study ◽  
The Past ◽  
Duke University ◽  
Collaborative Coding

Abstract. In the past decade, difficulties encountered in reproducing the results of a cancer study at Duke University resulted in a scandal and an investigation which concluded that tools used for data management, analysis, and modeling were inappropriate for the documentation of the study, let alone the reproduction of the results. New protocols were developed which require that data analysis and modeling be carried out with scripts that can be used to reproduce the results and are a record of all decisions and interpretations made during an analysis or a modeling effort. In the hydrological sciences, we face similar challenges and need to develop similar standards for transparency and repeatability of results. A promising route is to start making use of open-source languages (such as R and Python) to write scripts and to use collaborative coding environments (such as Git) to share our codes for inspection and use by the hydrological community. An important side-benefit to adopting such protocols is consistency and efficiency among collaborators.

scholarly journals HESS Opinions: Repeatable research: what hydrologists can learn from the Duke cancer research scandal

2016 ◽  
Author(s):  
Michael N. Fienen ◽  
Mark Bakker
Keyword(s):  
Cancer Research ◽  
Data Analysis ◽  
Data Management ◽  
Open Source ◽  
Modeling Effort ◽  
Cancer Study ◽  
The Past ◽  
Duke University ◽  
Collaborative Coding

Abstract. In the past decade, difficulties encountered in reproducing the results of a cancer study at Duke University resulted in a scandal and an investigation which concluded that tools used for data management, analysis, and modeling were inappropriate for the documentation of the study, let alone the reproduction of the results. New protocols were developed which require that data analysis and modeling be carried out with scripts that can be used to reproduce the results and are a record of all decisions and interpretations made during an analysis or a modeling effort. In the hydrological sciences, we face similar challenges and need to develop similar standards for transparency and repeatability of results. A promising route is to start making use of open source languages (such as R and Python) to write scripts and to use collaborative coding environments (such as Git and github.com) to share our codes for inspection and use by the hydrological community. An important side-benefit to adopting such protocols is consistency and efficiency among collaborators.

Impact of microRNAs on molecular epidemiology

2011 ◽  
Vol 152 (16) ◽  
pp. 633-641 ◽  
Author(s):  
Katalin Gőcze ◽  
Katalin Gombos ◽  
Gábor Pajkos ◽  
Ingrid Magda ◽  
Ágoston Ember ◽  
...  
Keyword(s):  
Functional Analysis ◽  
Cancer Research ◽  
Molecular Epidemiology ◽  
Wide Spectrum ◽  
Translation Regulation ◽  
Rna Sequences ◽  
Serum Mirna ◽  
The Past ◽  
Non Coding Rna ◽  
Free Serum

Cancer research concerning short non-coding RNA sequences and functionally linked to RNA interference (RNAi) have reached explosive breakthrough in the past decade. Molecular technology applies microRNA in extremely wide spectrum from molecular tumor prediction, diagnostics, progression monitoring and prevention. Functional analysis of tissue miRNA and cell-free serum miRNA in posttranscription and translation regulation innovated and restructured the knowledge on the field. This review focuses on molecular epidemiology and primary prevention aspects of the small non-coding RNA sequences. Orv. Hetil., 2011, 152, 633–641.

Molecular Epidemiology and Biomarkers in Etiologic Cancer Research: The New in Light of the Old

2020 ◽  
Author(s):  
Lungwani Muungo
Keyword(s):  
Gene Expression ◽  
Cancer Research ◽  
Molecular Epidemiology ◽  
Exposure Assessment ◽  
Large Scale ◽  
First Generation ◽  
Cancer Epidemiology ◽  
Policy Changes ◽  
The Past ◽  
New Generation

The purpose of this review is to evaluate progress inmolecular epidemiology over the past 24 years in canceretiology and prevention to draw lessons for futureresearch incorporating the new generation of biomarkers.Molecular epidemiology was introduced inthe study of cancer in the early 1980s, with theexpectation that it would help overcome some majorlimitations of epidemiology and facilitate cancerprevention. The expectation was that biomarkerswould improve exposure assessment, document earlychanges preceding disease, and identify subgroupsin the population with greater susceptibility to cancer,thereby increasing the ability of epidemiologic studiesto identify causes and elucidate mechanisms incarcinogenesis. The first generation of biomarkers hasindeed contributed to our understanding of riskandsusceptibility related largely to genotoxic carcinogens.Consequently, interventions and policy changes havebeen mounted to reduce riskfrom several importantenvironmental carcinogens. Several new and promisingbiomarkers are now becoming available for epidemiologicstudies, thanks to the development of highthroughputtechnologies and theoretical advances inbiology. These include toxicogenomics, alterations ingene methylation and gene expression, proteomics, andmetabonomics, which allow large-scale studies, includingdiscovery-oriented as well as hypothesis-testinginvestigations. However, most of these newer biomarkershave not been adequately validated, and theirrole in the causal paradigm is not clear. There is a needfor their systematic validation using principles andcriteria established over the past several decades inmolecular cancer epidemiology.

Histories for Anthropology: Ten Years of Historical Research and Writing by Anthropologists, 1980–1990

1991 ◽  
Vol 15 (4) ◽  
pp. 417-455
Author(s):  
Susan Kellogg
Keyword(s):  
Social Sciences ◽  
Historical Analysis ◽  
Historical Research ◽  
Historical Anthropology ◽  
The Past ◽  
Structure And Agency ◽  
Textual Practice ◽  
Anthropological Study ◽  
Duke University ◽  
Anthropological History

Editor’s Note: Susan Kellogg’s article on anthropology and history continues our special series “History and the Other Social Sciences.” There will be one further article, by David Robertson, on political science and history. An expanded version of the whole series will then be published as a book by Duke University Press.The past, once considered the exclusive domain of historians and antiquarians, has increasingly been embraced by anthropologists. Today, it is difficult to find a major anthropological study that does not claim to offer a diachronic, processual, historical analysis. In examining 10 years of historical anthropological writing, I cover three broad topics in this essay. First, I explain the emergence of a more historical anthropology as a widespread response to a crisis in the conceptualization of culture. Second, I argue that while there are certain identifiable themes that cut across this literature, in general, it reflects long-standing topical interests within anthropology; I review this literature according to these topics rather than divide it into interpretive or cultural studies versus studies of political economy. Third, I try to assess this body of work critically. I concentrate here on anthropological history as both research and textual practice, as well as briefly examine anthropological uses of the concepts of time, colonialism, and structure and agency.

scholarly journals Open Plot Project: an open-source toolkit for 3-D structural data analysis

Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz
Keyword(s):  
Spatial Distribution ◽  
Data Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Structural Data ◽  
Geological Modelling ◽  
Analysis Tools ◽  
Transect Analysis ◽  
Selection Of

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.

ANALISIS LOYALITAS PELANGGAN HOTEL SYARIAH DI DAERAH ISTIMEWA YOGYAKARTA

2019 ◽  
Vol 13 (03) ◽  
pp. 15-30
Author(s):  
Dwi Agus Kristianto ◽  
Amin Kiswantoro
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Service Quality ◽  
Customer Loyalty ◽  
Brand Image ◽  
Tourist Destinations ◽  
The Past ◽  
The World ◽  
Special Region

In the past the function of the hotel was only as a place to stay for consumers who travel on business or tourism and do not have a relationship or family at their destination. Sharia concept hotels continue to grow along with the needs of Muslim consumers around the world. The concept of sharia hotels also continues to grow in Indonesia, especially in the Yogyakarta region as one of the tourist destinations in Indonesia. This study aims to determine the effect of price, service quality and brand image on customer loyalty of sharia hotels in Yogyakarta Special Region both partially and simultaneously.This type of research is causally comparative. The variables in this study are price, service quality, brand image and customer loyalty. The population in this study are customers who have visited sharia hotels in Yogyakarta. Sampling was done by nonrandom sampling, specifically using purposive sampling where the sample was taken from the population, with the following criteria: 1) Customers who had stayed in sharia hotels in Yogyakarta more than twice, and 2) Respondents aged 18 years. The sample in this study was taken as many as 100 respondents. Data collection techniques using questionnaires. Data analysis used is multiple linear regression analysis.Based on the results of the study, the following conclusions are obtained: (1) Prices have a positive and significant effect on customer loyalty; (2) Service quality has a positive and significant effect on customer loyalty; (3) Brand image has a positive and significant effect on customer loyalty; and (4) Price, service quality, and brand image have a positive and significant effect on customer loyalty. Keywords: hotel, sharia, price, service quality, brand image, customer loyalty.

Big Data management and data analysis: Applied solutions in view of the spheres of the modern economy

2021 ◽  
pp. 281-306
Author(s):  
Larisa A. Ilyina ◽  
Ekaterina V. Lyubimova ◽  
Darya A. Prosvirina ◽  
Anton N. Sunteev
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Management ◽  
Modern Economy

Fast Transaction-Level Model for Direct Memory Access Controller

2019 ◽  
Vol 28 (04) ◽  
pp. 1950059
Author(s):  
Mona Safar ◽  
Magdy A. El-Moursy ◽  
Ahmed Tarek ◽  
Ahmed Emad ◽  
Ahmed Hesham ◽  
...  
Keyword(s):  
Open Source ◽  
Direct Memory Access ◽  
System Level ◽  
The Past ◽  
Simulation Speed ◽  
Proposed Model ◽  
Level Model ◽  
Data Bus ◽  
Transaction Level ◽  
Simulation Time

Transaction-Level Modeling (TLM) has been widely used in system-level design in the past few years. Simulation speed of Virtual Platforms (VPs) depends mainly on the transactions which are initiated by the Programmer’s View (PV) models of the VP devices. PV models are required to run at highest simulation speed. Data bus width as a hardware (HW) parameter should not reduce simulation speed of the modeled transactions. Furthermore, HW-related parameters should only be accounted for when considering timing of the models. A fast SystemC-TLM model is developed for the widely used ARM PrimeCell PL080 DMAC IP. The performance of the proposed model is validated against a developed RTL model for the same device. The effect of the transactions granularity on simulation speed is determined. Different programmed transfers are simulated and compared with open-source Quick Emulator (QEMU)-based models. The developed model is compared with the developed RTL, the open-source QEMU model, and the existing ARM Fast Model (AFM). It is shown that simulation time of the developed model is reduced by two orders of magnitude as compared to the other existing models.

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