1,720,992 research outputs found
Appendix_4 - Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression
No full textAppendix_4 for Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression by Chiara Marigliano, Stefano Badia, Davide Bellini, Marco Rengo, Damiano Caruso, Claudia Tito, Selenia Miglietta, Giovanni Palleschi, Antonio Luigi Pastore, Antonio Carbone, Francesco Fazi, Vincenzo Petrozza and Andrea Laghi in Technology in Cancer Research & Treatment</p
Appendix_6 - Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression
No full textAppendix_6 for Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression by Chiara Marigliano, Stefano Badia, Davide Bellini, Marco Rengo, Damiano Caruso, Claudia Tito, Selenia Miglietta, Giovanni Palleschi, Antonio Luigi Pastore, Antonio Carbone, Francesco Fazi, Vincenzo Petrozza and Andrea Laghi in Technology in Cancer Research & Treatment</p
Appendix_5 - Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression
No full textAppendix_5 for Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression by Chiara Marigliano, Stefano Badia, Davide Bellini, Marco Rengo, Damiano Caruso, Claudia Tito, Selenia Miglietta, Giovanni Palleschi, Antonio Luigi Pastore, Antonio Carbone, Francesco Fazi, Vincenzo Petrozza and Andrea Laghi in Technology in Cancer Research & Treatment</p
Appendix_3 - Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression
No full textAppendix_3 for Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression by Chiara Marigliano, Stefano Badia, Davide Bellini, Marco Rengo, Damiano Caruso, Claudia Tito, Selenia Miglietta, Giovanni Palleschi, Antonio Luigi Pastore, Antonio Carbone, Francesco Fazi, Vincenzo Petrozza and Andrea Laghi in Technology in Cancer Research & Treatment</p
Appendix_1 - Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression
No full textAppendix_1 for Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression by Chiara Marigliano, Stefano Badia, Davide Bellini, Marco Rengo, Damiano Caruso, Claudia Tito, Selenia Miglietta, Giovanni Palleschi, Antonio Luigi Pastore, Antonio Carbone, Francesco Fazi, Vincenzo Petrozza and Andrea Laghi in Technology in Cancer Research & Treatment</p
Appendix_2 - Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression
No full textAppendix_2 for Radiogenomics in Clear Cell Renal Cell Carcinoma: Correlations Between Advanced CT Imaging (Texture Analysis) and MicroRNAs Expression by Chiara Marigliano, Stefano Badia, Davide Bellini, Marco Rengo, Damiano Caruso, Claudia Tito, Selenia Miglietta, Giovanni Palleschi, Antonio Luigi Pastore, Antonio Carbone, Francesco Fazi, Vincenzo Petrozza and Andrea Laghi in Technology in Cancer Research & Treatment</p
Preparation and characterization of antimicrobial wound dressing based on silver, gellan, PVA and borax
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Preparation and characterization of a new gellan gum and sulphated hyaluronic acid hydrogel designed for epidural scar prevention
No full textPostsurgical adhesions are a common problem in clinical practice, causing nerve compression, pain and discomfort. A new hydrogel based on gellan gum and sulphated hyaluronic acid was synthesized, with the aim to create an effective barrier for epidural scar formation. Physico-chemical properties of the gel were analyzed, and preliminary biocompatibility data (i.e. cytotoxicity) have been collected in view of its potential clinical use. The characterization of the new material demonstrated that the hydrogel, due to its high-viscosity, could effectively act as a barrier with a long in situ residence time. In addition, the hydrogel can be easily extruded from a syringe and its structure exhibits excellent stabilizing properties. Furthermore, biological assays showed that this gel is suitable for further preclinical development
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