Search results for " research methods"
showing 10 items of 80 documents
sj-pdf-1-smo-10.1177_20503121211019889 – Supplemental material for The efficacy of single suture for exit site wound closure and stabilization of hem…
2021
Supplemental material, sj-pdf-1-smo-10.1177_20503121211019889 for The efficacy of single suture for exit site wound closure and stabilization of hemodialysis central tunneled catheter by Tomasz Porazko, Andrzej Piersiak and Marian Klinger in SAGE Open Medicine
sj-pdf-1-smo-10.1177_20503121211019889 – Supplemental material for The efficacy of single suture for exit site wound closure and stabilization of hem…
2021
Supplemental material, sj-pdf-1-smo-10.1177_20503121211019889 for The efficacy of single suture for exit site wound closure and stabilization of hemodialysis central tunneled catheter by Tomasz Porazko, Andrzej Piersiak and Marian Klinger in SAGE Open Medicine
Chances and Challenges of Computational Data Gathering and Analysis
2015
Digital and social media and large available data-sets generate various new possibilities and challenges for conducting research focused on perpetually developing online news ecosystems. This paper presents a novel computational technique for gathering and processing large quantities of data from Facebook. We demonstrate how to use this technique for detecting and analysing issue-attention cycles and news flows in Facebook groups and pages. Although the paper concentrates on a Finnish Facebook group as a case study, the demonstrated method can be used for gathering and analysing large sets of data from various social network sites and national contexts. The paper also discusses Facebook pla…
Colorectal cancer survival in the USA and Europe: a CONCORD high-resolution study
2013
Journal Article; OBJECTIVES: To assess the extent to which stage at diagnosis and adherence to treatment guidelines may explain the persistent differences in colorectal cancer survival between the USA and Europe. DESIGN: A high-resolution study using detailed clinical data on Dukes' stage, diagnostic procedures, treatment and follow-up, collected directly from medical records by trained abstractors under a single protocol, with standardised quality control and central statistical analysis. SETTING AND PARTICIPANTS: 21 population-based registries in seven US states and nine European countries provided data for random samples comprising 12 523 adults (15-99 years) diagnosed with colorectal ca…
Historia urbana y mezzogiorno de Italia en la Edad Moderna: propuesta de un cuestionario
1998
The history of urbanization has barely been analyzed for the Mezzogiorno in Italy. This has partly been due to the persistence of stereotypes in Italian historiography, and partly due to the current definition of city functions. The article results from a meeting of specialists in Early Modern southern Italian history organized to undertake the rigorous and detailed study of the common features and the differences within the urban systems of the Mezzogiorno, in order to synthesize the specific character of urbanization in southern Italy over the long term. The author outlines the main areas under study and establishes its methodological foundations and first hypotheses.
Literacy skills and online research and comprehension: struggling readers face difficulties online
2019
The present study evaluated the extent to which literacy skills (reading fluency, written spelling, and reading comprehension), together with nonverbal reasoning, prior knowledge, and gender, are related to students’ online research and comprehension (ORC) performance. The ORC skills of 426 sixth graders were measured using a Finnish adaptation of the Online Research and Comprehension Assessment. Results of a structural equation model showed that these ORC skills were divided into six highly correlated factors, and that they formed a common factor in ORC. Altogether, these predictor variables explained 57% of the variance in ORC. Reading comprehension, along with gender, was the strongest p…
International Physical Activity and Built Environment Study of Adolescents : IPEN Adolescent design, protocol and measures
2021
IntroductionOnly international studies can provide the full variability of built environments and accurately estimate effect sizes of relations between contrasting environments and health-related outcomes. The aims of the International Physical Activity and Environment Study of Adolescents (IPEN Adolescent) are to estimate the strength, shape and generalisability of associations of the community environment (geographic information systems (GIS)-based and self-reported) with physical activity and sedentary behaviour (accelerometer-measured and self-reported) and weight status (normal/overweight/obese).Methods and analysisThe IPEN Adolescent observational, cross-sectional, multicountry study …
Interorganizational network and innovation: a bibliometric study and proposed research agenda
2015
Purpose – This paper aims to explore the latent structure of the literature on interorganizational network and innovation as well as to map the main themes and empirical advances in this research stream. Design/methodology/approach – Using bibliometric coupling, the authors analyze the citation patterns in 67 management studies regarding innovation networks, published in ISI-journals from January 1996 to October 2012. Findings – The authors identify the conceptual orientations that studies share. Bibliometric analysis allows us to draw an overview of how this field of research has developed, recognizing in essence six main clustered research themes: networks as a framework that sustains fi…
Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images
2021
Anthracnose is one of the primary diseases that affect olive production before and after harvest, causing severe damage and economic losses. The objective of this work is to detect this disease in the early stages, using hyperspectral images and advanced modelling techniques of Deep Learning (DL) and convolutional neural networks (CNN). The olives were artificially inoculated with the fungus. Hyperspectral images (450–1050 nm) of each olive were acquired until visual symptoms of the disease were observed, in some cases up to 9 days. The olives were classified into two classes: control, inoculated with water, and fungi composed of olives inoculated with the fungus. The ResNet101 architecture…
Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images
2021
Abstract Anthracnose is one of the primary diseases that affect olive production before and after harvest, causing severe damage and economic losses. The objective of this work is to detect this disease in the early stages, using hyperspectral images and advanced modelling techniques of Deep Learning (DL) and convolutional neural networks (CNN). The olives were artificially inoculated with the fungus. Hyperspectral images (450–1050 nm) of each olive were acquired until visual symptoms of the disease were observed, in some cases up to 9 days. The olives were classified into two classes: control, inoculated with water, and fungi composed of olives inoculated with the fungus. The ResNet101 arc…