Resultados totales (Incluyendo duplicados): 33785
Encontrada(s) 3379 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329412
Dataset. 2022

TABLE_11_FROM MOUSE TO HUMAN: CELLULAR MORPHOMETRIC SUBTYPE LEARNED FROM MOUSE MAMMARY TUMORS PROVIDES PROGNOSTIC VALUE IN HUMAN BREAST CANCER.XLSX [DATASET]

  • Chang, Hang
  • Yang, Xu
  • Moore, Jade
  • Liu, Xiao-Ping
  • Jen, Kuang-Yu
  • Snijders, Antoine M.
  • Ma, Lin
  • Chou, William
  • Corchado Cobos, Roberto
  • García-Sancha, Natalia
  • Mendiburu-Eliçabe, Marina
  • Pérez-Losada, J.
  • Barcellos-Hoff, Mary Helen
  • Mao, Jian-Hua
Supplementary Table 11. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on differentially expressed genes (DEGs)., Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In this study, we used our recently developed machine learning approach to identify the cellular morphometric biomarkers (CMB) from digital images of hematoxylin and eosin (H&E) micrographs of orthotopic Trp53-null mammary tumors (n = 154) and to discover the corresponding cellular morphometric subtypes (CMS). Of the two CMS identified, CMS-2 was significantly associated with shorter survival (p = 0.0084). We then evaluated the learned CMB and corresponding CMS model in MMTV-Erbb2 transgenic mouse mammary tumors (n = 53) in which CMS-2 was significantly correlated with the presence of metastasis (p = 0.004). We next evaluated the mouse CMB and CMS model on The Cancer Genome Atlas breast cancer (TCGA-BRCA) cohort (n = 1017). Kaplan–Meier analysis showed significantly shorter overall survival (OS) of CMS-2 patients compared to CMS-1 patients (p = 0.024) and added significant prognostic value in multi-variable analysis of clinical and molecular factors, namely, age, pathological stage, and PAM50 molecular subtype. Thus, application of CMS to digital images of routine workflow H&E preparations can provide unbiased biological stratification to inform patient care., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329412
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329412
HANDLE: http://hdl.handle.net/10261/329412
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329412
PMID: http://hdl.handle.net/10261/329412
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329412
Ver en: http://hdl.handle.net/10261/329412
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329412

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329413
Dataset. 2022

SUPPLEMENTARY MATERIAL WASTE VALORIZATION IN WINEMAKING INDUSTRY: VINE SHOOTS AS PRECURSORS TO OPTIMIZE SENSORY FEATURES IN WHITE WINE

  • Calderón-Martín, María
  • Valdés-Sánchez, Esperanza
  • Alexandre-Franco, M.
  • Fernández-González, M. Carmen
  • Vilanova de la Torre, María del Mar
  • Cuerda-Correa, Eduardo Manuel
  • Gómez-Serrano, Vicente
Some remarks on the yield of the carbonization and activation processes As summarized in Table S1, the yields of the pyrolysis process of VS is equal to 28.28% at 600ºC and 25.08 % at 900ºC. The fact that the carbonization temperature does not exert any significant influence on the final yield of the process is coherent with the mechanism commonly postulated for the pyrolysis of lignocellulosic materials. Briefly, when these materials are subjected to heat treatments under an inert atmosphere, a remarkable mass loss occurs at temperatures below 660◦C due to the removal of volatile matter. Above this temperature, a progressive aromatization of the remaining carbonaceous solid can be observed. Such an aromatization takes place as a result of the release of a small amount of hydrogen. Hence, the mass loss is scarce and virtually constant regardless of what the thermal treatment temperature is., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329413
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329413
HANDLE: http://hdl.handle.net/10261/329413
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329413
PMID: http://hdl.handle.net/10261/329413
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329413
Ver en: http://hdl.handle.net/10261/329413
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329413

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329415
Dataset. 2022

SUPPLEMENTAL MATERIAL TO: "COUPLED FRUSTRATED FERROMAGNETIC AND ANTIFERROMAGNETIC QUANTUM SPIN CHAINS IN THE QUASI-ONE-DIMENSIONAL MINERAL ANTLERITE CU3 SO4 (OH) 4"

  • Kulbakov, Anton A.
  • Kononenko, Denys Y.
  • Nishimoto, Satoshi
  • Stahl, Quirin
  • Mannathanath Chakkingal, Aswathi
  • Feig, Manuel
  • Gumeniuk, Roman
  • Skourski, Yurii
  • Bhaskaran, Lakshmi
  • Zvyagin, Sergei A.
  • Embs, Jan Peter
  • Puente-Orench, Inés
  • Wildes, Andrew
  • Geck, Jochen
  • Janson, Oleg
  • Inosov, Dmytro S.
  • Peets, Darren C.
Further experimental details, additional results of the structure and magnetic refinements, Crystallographic Information Files describing the refinements, and additional information on the band-structure calculation and the model simulations., This Supplemental Material provides further detailson experimental procedures, structurere finements, density functional theory (DFT) calculations, and density-matrix renormalization group (DMRG) simulations., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329415
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329415
HANDLE: http://hdl.handle.net/10261/329415
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329415
PMID: http://hdl.handle.net/10261/329415
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329415
Ver en: http://hdl.handle.net/10261/329415
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329415

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329416
Dataset. 2022

TABLE_12_FROM MOUSE TO HUMAN: CELLULAR MORPHOMETRIC SUBTYPE LEARNED FROM MOUSE MAMMARY TUMORS PROVIDES PROGNOSTIC VALUE IN HUMAN BREAST CANCER.XLSX [DATASET]

  • Chang, Hang
  • Yang, Xu
  • Moore, Jade
  • Liu, Xiao-Ping
  • Jen, Kuang-Yu
  • Snijders, Antoine M.
  • Ma, Lin
  • Chou, William
  • Corchado Cobos, Roberto
  • García-Sancha, Natalia
  • Mendiburu-Eliçabe, Marina
  • Pérez-Losada, J.
  • Barcellos-Hoff, Mary Helen
  • Mao, Jian-Hua
Supplementary Table 12. Cox proportional hazards regression analysis on the overall survival of patients in the TCGA-BRCA cohort., Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In this study, we used our recently developed machine learning approach to identify the cellular morphometric biomarkers (CMB) from digital images of hematoxylin and eosin (H&E) micrographs of orthotopic Trp53-null mammary tumors (n = 154) and to discover the corresponding cellular morphometric subtypes (CMS). Of the two CMS identified, CMS-2 was significantly associated with shorter survival (p = 0.0084). We then evaluated the learned CMB and corresponding CMS model in MMTV-Erbb2 transgenic mouse mammary tumors (n = 53) in which CMS-2 was significantly correlated with the presence of metastasis (p = 0.004). We next evaluated the mouse CMB and CMS model on The Cancer Genome Atlas breast cancer (TCGA-BRCA) cohort (n = 1017). Kaplan–Meier analysis showed significantly shorter overall survival (OS) of CMS-2 patients compared to CMS-1 patients (p = 0.024) and added significant prognostic value in multi-variable analysis of clinical and molecular factors, namely, age, pathological stage, and PAM50 molecular subtype. Thus, application of CMS to digital images of routine workflow H&E preparations can provide unbiased biological stratification to inform patient care., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329416
HANDLE: http://hdl.handle.net/10261/329416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329416
PMID: http://hdl.handle.net/10261/329416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329416
Ver en: http://hdl.handle.net/10261/329416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329416

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329422
Dataset. 2022

SUPPORTING INFORMATION FOR DNA-LIPOSOME HYBRID CARRIERS FOR TRIGGERED CARGO RELEASE

  • Baumann, Kevin N.
  • Schröder, Tim
  • Ciryam, Prashanth S.
  • Morzy, Diana
  • Tinnefeld, Philip
  • Knowles, Jonathan C
  • Hernández-Ainsa, Silvia
DNA sequence information; gel electrophoresis results; additional FRAP data; and additional leakage information., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329422
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329422
HANDLE: http://hdl.handle.net/10261/329422
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329422
PMID: http://hdl.handle.net/10261/329422
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329422
Ver en: http://hdl.handle.net/10261/329422
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329422

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329423
Dataset. 2022

SUPPORTING INFORMATION FOR DOMAIN WALL AUTOMOTION IN THREE-DIMENSIONAL MAGNETIC HELICAL INTERCONNECTORS

  • Skoric, Luka
  • Donnelly, Claire
  • Hierro-Rodríguez, A.
  • Cascales Sandoval, Miguel A.
  • Ruiz-Gómez, Sandra
  • Foerster, Michael
  • Niño Orti, Miguel A.
  • Belkhou, Rachid
  • Abert, Claas
  • Suess, Dieter
  • Fernández-Pacheco, Amalio
X-ray induced bending analysis; simulation structure details; method for calculating DW position; domain wall speed in simulations; Walker breakdown; effects of the mesh size; XAS spectra; shadow-XPEEM image processing; shadow-XPEEM simulation method; measuring DW height in simulations and experiments; domain wall chirality; full details of the angular study., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329423
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329423
HANDLE: http://hdl.handle.net/10261/329423
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329423
PMID: http://hdl.handle.net/10261/329423
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329423
Ver en: http://hdl.handle.net/10261/329423
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329423

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329425
Dataset. 2022

APPENDIX A: SUPPLEMENTARY INFORMATION FILE FOR DUAL LIQUID CRYSTALLINE/GEL BEHAVIOR WITH AIE EFFECT PROMOTED BY SELF-ASSEMBLY OF PYRAZOLE DENDRONS

  • Iguarbe, Verónica
  • Romero, Pilar
  • Barberá, Joaquín
  • Elduque, Anabel
  • Giménez, Raquel
Supplementary data 1: Materials and Methods Schemes. Synthesis of dendronized pyrazoles of the amide series Synthesis of dendronized pyrazoles of the ether series 1H NMR and 13C NMR spectra Figures and Tables., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329425
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329425
HANDLE: http://hdl.handle.net/10261/329425
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329425
PMID: http://hdl.handle.net/10261/329425
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329425
Ver en: http://hdl.handle.net/10261/329425
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329425

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329427
Dataset. 2022

SUPPORTING INFORMATION FOR ENHANCED ROOM-TEMPERATURE SPIN-VALLEY COUPLING IN V-DOPED MOS2

  • Sahoo, Krishna Rani
  • Panda, Janmey Jay
  • Bawari, Sumit
  • Sharma, Rahul
  • Maity, Dipak
  • Lal, Ashique
  • Arenal, Raúl
  • Rajalaksmi, G.
  • Narayanan, Tharangattu N.
Figure S1:- Growth procedure followed to prepare MS and VMS. Figure S2:- Experimental setup. Figure S3:- Structural characterisation. Figure S4:- Morphology Study. Figure S5:- Investigate the optical properties. Figure S6:- Comparison PL spectra of high and low doped VMS. Figure S7:- Polarisation of emitted light. Figure S8:- Defect dependent valley polarisation study. Figure S9:- Schematic of SHEL. Figure S10:- Valley polarisation study from SHEL. Figure S11:- The band calculations., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329427
HANDLE: http://hdl.handle.net/10261/329427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329427
PMID: http://hdl.handle.net/10261/329427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329427
Ver en: http://hdl.handle.net/10261/329427
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329427

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329429
Dataset. 2022

APPENDIX A. SUPPLEMENTARY DATA FOR ENHANCING THE TEMPORAL STABILITY OF DSSCS WITH NOVEL VINYLPYRIMIDINE ANCHORING AND ACCEPTING GROUP

  • Duerto, Isolda
  • Sarasa, Santiago
  • Barrios, Daniel
  • Orduna, Jesús
  • Villacampa, Belén
  • Blesa, María Jesús
Detailed characterization of dyes, which include 1H NMR, 13C RMN, elemental analysis and HRMS spectra for all compounds, UV–vis spectra in dichloromethane and TiO2 films, Voltammograms in dichloromethane, ATR-FTIR spectra and photovoltaic parameters and additional experimental details, materials, and methods, including experimental setup., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329429
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329429
HANDLE: http://hdl.handle.net/10261/329429
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329429
PMID: http://hdl.handle.net/10261/329429
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329429
Ver en: http://hdl.handle.net/10261/329429
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329429

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329433
Dataset. 2022

APPENDIX A. SUPPLEMENTARY DATA FOR EVALUATION OF OXYGEN CARRIERS BASED ON MANGANESE‑IRON MIXED OXIDES PREPARED FROM NATURAL ORES OR INDUSTRIAL WASTE PRODUCTS FOR CHEMICAL LOOPING PROCESSES

  • Zornoza, Beatriz
  • Mendiara, Teresa
  • Abad Secades, Alberto
S1. Preparation of the Mn77Fe23 oxygen carriers. Table S1. Amounts of Mn and Fe raw materials in the particle size of 0.1-0.3 mm mixed in every mill container and particle size of the Mn-Fe mixture after the mixing-grinding step. S2. XRD diffraction patterns of the different MnFe-mixed oxides prepared to be used as oxygen carriers. Figure S1. XRD of the 7 Mn-Fe based oxygen carriers. S3. XRD diffraction patterns of the different MnFe-mixed oxides prepared to be used as oxygen carriers. Figure S2. XRD of the samples after long cycles in TGA at high conversions (ca. 80%): (a) MnSA and (b) MnGBMPB+Fe-ore. S4. TGA tests. Figure S3. Variation of the mass sample in TGA under CLOU conditions for the MnGBHNE+Fe-ESF material (870 ºC). Figure S4. Variation of the mass sample in TGA under CLC conditions for the MnGBHNE+Fe-ESF material (reduction: 5%H2+40% H2O, 950 ºC). S5. MnSA sample after 300 redox cycles with △Xs ≈ 80 %. Figure S5. Image of the MnSA oxygen carrier after 300 redox cycles at high conversions (ca. 80 %)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329433
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329433
HANDLE: http://hdl.handle.net/10261/329433
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329433
PMID: http://hdl.handle.net/10261/329433
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329433
Ver en: http://hdl.handle.net/10261/329433
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329433

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