Soft Computing for Biomedical Applications and Related Topics / edited by Vladik Kreinovich, Nguyen Hoang Phuong
Multiagent Smart Communication Based on CI Technology -- Develop a Prediction Model for Nonmelanoma Skin Cancer Using Deep Learning in EHR data -- VectorDefense: Vectorization as a Defense to Adversarial Examples -- Artificial Intelligence in Infection Control—Healthcare Institutions Need Intelligent Information and Communication Technologies for Surveillance and Benchmarking -- Why some Non-Classical Logics are more Studied? -- Why h-index? -- Accuracy of Data Fusion: Interval (and Fuzzy) Case -- Imputing Missing Values: Reinforcement Bayesian Regression and Random Forest -- From Machine Learning to Knowledge-based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees..
This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques. ..
Medienart: |
E-Book |
---|
Erscheinungsjahr: |
2021. |
---|---|
Erschienen: |
Cham: Springer International Publishing ; 2021. Cham: Imprint: Springer ; 2021. |
Ausgabe: |
1st ed. 2021. |
Reihe: |
---|
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Kreinovich, Vladik [HerausgeberIn] |
---|
Links: |
doi.org [lizenzpflichtig] |
---|
ISBN: |
---|
Themen: |
Biomedical engineering. |
---|
Umfang: |
1 Online-Ressource(IX, 329 p. 195 illus., 123 illus. in color.) |
---|
doi: |
10.1007/978-3-030-49536-7 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
1724280481 |
---|
LEADER | 01000cam a22002652 4500 | ||
---|---|---|---|
001 | 1724280481 | ||
003 | DE-627 | ||
005 | 20221225073934.0 | ||
007 | cr uuu---uuuuu | ||
008 | 200710s2021 gw |||||o 00| ||eng c | ||
020 | |a 9783030495367 |9 978-3-030-49536-7 | ||
024 | 7 | |a 10.1007/978-3-030-49536-7 |2 doi | |
035 | |a (DE-627)1724280481 | ||
035 | |a (DE-599)KEP054114403 | ||
035 | |a (DE-He213)978-3-030-49536-7 | ||
035 | |a (EBP)054114403 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
044 | |c XA-DE | ||
072 | 7 | |a UYQ |2 bicssc | |
072 | 7 | |a TEC009000 |2 bisacsh | |
245 | 1 | 0 | |a Soft Computing for Biomedical Applications and Related Topics |c edited by Vladik Kreinovich, Nguyen Hoang Phuong |
250 | |a 1st ed. 2021. | ||
264 | 1 | |a Cham |b Springer International Publishing |c 2021. | |
264 | 1 | |a Cham |b Imprint: Springer |c 2021. | |
300 | |a 1 Online-Ressource(IX, 329 p. 195 illus., 123 illus. in color.) | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
490 | 0 | |a Studies in Computational Intelligence |v 899 | |
520 | |a Multiagent Smart Communication Based on CI Technology -- Develop a Prediction Model for Nonmelanoma Skin Cancer Using Deep Learning in EHR data -- VectorDefense: Vectorization as a Defense to Adversarial Examples -- Artificial Intelligence in Infection Control—Healthcare Institutions Need Intelligent Information and Communication Technologies for Surveillance and Benchmarking -- Why some Non-Classical Logics are more Studied? -- Why h-index? -- Accuracy of Data Fusion: Interval (and Fuzzy) Case -- Imputing Missing Values: Reinforcement Bayesian Regression and Random Forest -- From Machine Learning to Knowledge-based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees. | ||
520 | |a This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques. . | ||
650 | 0 | |a Computational intelligence. | |
650 | 0 | |a Engineering mathematics. | |
650 | 0 | |a Biomedical engineering. | |
700 | 1 | |a Kreinovich, Vladik |e herausgeberin |4 edt | |
700 | 1 | |a Hoang Phuong, Nguyen |e herausgeberin |4 edt | |
776 | 1 | |z 9783030495350 | |
776 | 1 | |z 9783030495374 | |
776 | 1 | |z 9783030495381 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783030495350 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783030495374 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9783030495381 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-3-030-49536-7 |m X:SPRINGER |x Resolving-System |z lizenzpflichtig |
912 | |a ZDB-2-INR |b 2021 | ||
912 | |a ZDB-2-SEB |b 2021 | ||
912 | |a ZDB-2-SXIT |b 2021 | ||
912 | |a GBV_ILN_20 | ||
912 | |a ISIL_DE-84 | ||
912 | |a SYSFLAG_1 | ||
912 | |a GBV_KXP | ||
912 | |a GBV_ILN_21 | ||
912 | |a ISIL_DE-46 | ||
912 | |a GBV_ILN_22 | ||
912 | |a ISIL_DE-18 | ||
912 | |a GBV_ILN_22_i22818 | ||
912 | |a GBV_ILN_23 | ||
912 | |a ISIL_DE-830 | ||
912 | |a GBV_ILN_60 | ||
912 | |a ISIL_DE-705 | ||
912 | |a GBV_ILN_100 | ||
912 | |a ISIL_DE-Ma9 | ||
912 | |a GBV_ILN_101 | ||
912 | |a ISIL_DE-Ma14 | ||
912 | |a GBV_ILN_110 | ||
912 | |a ISIL_DE-Luen4 | ||
912 | |a GBV_ILN_120 | ||
912 | |a ISIL_DE-715 | ||
912 | |a GBV_ILN_130 | ||
912 | |a ISIL_DE-700 | ||
912 | |a GBV_ILN_132 | ||
912 | |a ISIL_DE-959 | ||
912 | |a GBV_ILN_187 | ||
912 | |a ISIL_DE-Ki95 | ||
912 | |a GBV_ILN_2001 | ||
912 | |a ISIL_DE-21 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a ISIL_DE-90 | ||
912 | |a GBV_ILN_2015 | ||
912 | |a ISIL_DE-93 | ||
912 | |a GBV_ILN_2017 | ||
912 | |a ISIL_DE-576 | ||
912 | |a GBV_ILN_2020 | ||
912 | |a ISIL_DE-Ch1 | ||
912 | |a GBV_ILN_2045 | ||
912 | |a ISIL_DE-Mit1 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a ISIL_DE-840 | ||
912 | |a GBV_ILN_2059 | ||
912 | |a ISIL_DE-Kon4 | ||
912 | |a GBV_ILN_2064 | ||
912 | |a ISIL_DE-953 | ||
912 | |a GBV_ILN_2108 | ||
912 | |a ISIL_DE-991 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a ISIL_DE-944 | ||
912 | |a GBV_ILN_2113 | ||
912 | |a ISIL_DE-753 | ||
912 | |a GBV_ILN_2118 | ||
912 | |a ISIL_DE-Mh35 | ||
912 | |a GBV_ILN_2119 | ||
912 | |a ISIL_DE-943 | ||
912 | |a GBV_ILN_2129 | ||
912 | |a ISIL_DE-Ofb1 | ||
912 | |a GBV_ILN_2143 | ||
912 | |a ISIL_DE-Rav1 | ||
912 | |a GBV_ILN_2149 | ||
912 | |a ISIL_DE-Loer2 | ||
912 | |a GBV_ILN_2159 | ||
912 | |a ISIL_DE-984 | ||
951 | |a BO | ||
953 | |2 045F |a 006.3 | ||
980 | |2 20 |1 01 |x 0084 |b 383968465X |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |h CATDESC_SPR-EB |u CATDESC_SPR-EB |y z |z 19-01-21 | ||
980 | |2 21 |1 01 |x 0046 |b 3891990278 |h ebook_2021_springer |k Freie Nutzung im <a href="http://nbn-resolving.de/urn:nbn:de:gbv:46-campusnetz9" Target="_blank">Campusnetz</a> der Universitaet und der Hochschulen im Lande Bremen |y zza |z 21-03-21 | ||
980 | |2 22 |1 01 |x 0018 |b 3831356874 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |h olrm-h228-inr |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y zi22818 |z 06-01-21 | ||
980 | |2 23 |1 01 |x 0830 |b 3817905270 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |h olr-springer |u i |y z |z 06-12-20 | ||
980 | |2 60 |1 01 |x 0705 |b 3817838395 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |k Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung |y z |z 06-12-20 | ||
980 | |2 100 |1 01 |x 3100 |b 3793574288 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |c 09 |f --%%-- |d eBook Springer |e --%%-- |j --%%-- |h OLR-SEB |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y z |z 07-11-20 | ||
980 | |2 101 |1 01 |x 3101 |b 3793592022 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |c 09 |f --%%-- |d eBook Springer |e --%%-- |j --%%-- |h OLR-SEB |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y z |z 07-11-20 | ||
980 | |2 110 |1 01 |x 3110 |b 3793550532 |c 00 |f --%%-- |d --%%-- |e s |j --%%-- |h OLR-SEB |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y z |z 07-11-20 | ||
980 | |2 120 |1 01 |x 0715 |b 3814117689 |c 00 |f --%%-- |d --%%-- |e g |j --%%-- |h alma |y z |z 27-11-20 | ||
980 | |2 130 |1 01 |x 0700 |b 3833999179 |h OLR-SEB |k Vervielfältigungen (z. B. Kopien, Downloads) nur für den eigenen wissenschaftlichen Gebrauch. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots |y z |z 10-01-21 | ||
980 | |2 132 |1 01 |x 0959 |b 3832905278 |h OLR-ESP-INR |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y k |z 08-01-21 | ||
980 | |2 187 |1 01 |x 3520 |b 3847394371 |h OLR-SEB |k Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. |y z |z 01-02-21 | ||
980 | |2 2001 |1 01 |x DE-21 |b 3828116183 |c 00 |f --%%-- |d --%%-- |e --%%-- |j kp |y l01 |z 21-12-20 | ||
980 | |2 2014 |1 01 |x DE-90 |b 3826799755 |c 00 |f --%%-- |d --%%-- |e --%%-- |j kp |y l01 |z 17-12-20 | ||
980 | |2 2014 |1 02 |x DE-90 |b 3826799763 |c 00 |f --%%-- |d --%%-- |e --%%-- |j kp |y l02 |z 17-12-20 | ||
980 | |2 2015 |1 01 |x DE-93 |b 3847646745 |c 00 |f --%%-- |d --%%-- |e p |j --%%-- |k Campuslizenz |y l01 |z 02-02-21 | ||
980 | |2 2017 |1 01 |x DE-576 |b 372317678X |c 00 |f --%%-- |d --%%-- |e --%%-- |j n |k Besitznachweis BSZ nur für Dateneinspielung, keine echte Lizenz vorhanden |y l01 |z 10-07-20 | ||
980 | |2 2020 |1 01 |x DE-Ch1 |b 4027666232 |c 00 |f --%%-- |d --%%-- |e n |j --%%-- |k Campuslizenz |y l01 |z 29-12-21 | ||
980 | |2 2045 |1 01 |x DE-Mit1 |b 3826799771 |c 00 |f --%%-- |d --%%-- |e --%%-- |j n |k Volltext - Campuslizenz |y l01 |z 17-12-20 | ||
980 | |2 2055 |1 01 |x DE-840 |b 3882691093 |c 00 |f --%%-- |d Springer Nature IntTechRobot. |e --%%-- |j n |k Campuslizenz HHN |y l01 |z 08-03-21 | ||
980 | |2 2059 |1 01 |x DE-Kon4 |b 3806712085 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j kp |k Elektronischer Volltext - Campuslizenz |y l01 |z 18-11-20 | ||
980 | |2 2064 |1 01 |x DE-953 |b 3804273203 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j n |k Elektronischer Volltext - Campuslizenz |y l01 |z 16-11-20 | ||
980 | |2 2108 |1 01 |x DE-991 |b 382666065X |c 00 |f --%%-- |d eBook Springer |e --%%-- |j kp |k Elektronischer Volltext - Campuslizenz |y l01 |z 17-12-20 | ||
980 | |2 2111 |1 01 |x DE-944 |b 3804549470 |c 00 |f --%%-- |d E-Book Springer |e --%%-- |j n |k Elektronischer Volltext - Campuslizenz |y l01 |z 16-11-20 | ||
980 | |2 2113 |1 01 |x DE-753 |b 383271653X |c 00 |f --%%-- |d Springer E-Book |e --%%-- |j kn |k Elektronischer Volltext - Campuslizenz |y l01 |z 08-01-21 | ||
980 | |2 2118 |1 01 |x DE-Mh35 |b 3828759629 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j n |k Elektronischer Volltext - Campuslizenz |y l01 |z 30-12-20 | ||
980 | |2 2119 |1 01 |x DE-943 |b 379159365X |c 00 |f --%%-- |d eBook Springer |e --%%-- |j kp |k Elektronischer Volltext - Campuslizenz |y l01 |z 03-11-20 | ||
980 | |2 2129 |1 01 |x DE-Ofb1 |b 4008362657 |c 00 |f --%%-- |d E-Book Springer |e --%%-- |j en |y l01 |z 26-11-21 | ||
980 | |2 2143 |1 01 |x DE-Rav1 |b 380117526X |c 00 |f --%%-- |d E-Book Springer |e --%%-- |j n |y l01 |z 12-11-20 | ||
980 | |2 2149 |1 01 |x DE-Lör2 |b 3850372901 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j n |y l01 |z 09-02-21 | ||
980 | |2 2159 |1 01 |x DE-984 |b 3828759637 |c 00 |f --%%-- |d eBook Springer |e --%%-- |j n |y l01 |z 30-12-20 | ||
981 | |2 20 |1 01 |x 0084 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 21 |1 01 |x 0046 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 22 |1 01 |x 0018 |y Volltextzugang Campus |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 22 |1 01 |x 0018 |y Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus |r http://emedien.sub.uni-hamburg.de/han/SpringerEbooks/doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 23 |1 01 |x 0830 |y Springer EBook |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 60 |1 01 |x 0705 |y Volltextzugang Campus |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 100 |1 01 |x 3100 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 100 |1 01 |x 3100 |y für Uniangehörige: Zugang weltweit |r https://han.med.uni-magdeburg.de/han/SPR-eBook-ComputerScience-einzeln/doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 101 |1 01 |x 3101 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 101 |1 01 |x 3101 |y für Uniangehörige: Zugang weltweit |r https://han.med.uni-magdeburg.de/han/SPR-eBook-ComputerScience-einzeln/doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 110 |1 01 |x 3110 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 120 |1 01 |x 0715 |r http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991015061826103501 | ||
981 | |2 130 |1 01 |x 0700 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 132 |1 01 |x 0959 |y Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 187 |1 01 |x 3520 |y Zugriff nur im Netz Fachhochschule Kiel |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2001 |1 01 |x DE-21 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2014 |1 01 |x DE-90 |y Zugang im Netz des KIT |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2014 |1 02 |x DE-90 |y Zugang im Netz der HKA |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2015 |1 01 |x DE-93 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2020 |1 01 |x DE-Ch1 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2045 |1 01 |x DE-Mit1 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2055 |1 01 |x DE-840 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2059 |1 01 |x DE-Kon4 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2064 |1 01 |x DE-953 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2108 |1 01 |x DE-991 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2111 |1 01 |x DE-944 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2113 |1 01 |x DE-753 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2118 |1 01 |x DE-Mh35 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2119 |1 01 |x DE-943 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2129 |1 01 |x DE-Ofb1 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2143 |1 01 |x DE-Rav1 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2149 |1 01 |x DE-Lör2 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
981 | |2 2159 |1 01 |x DE-984 |r https://doi.org/10.1007/978-3-030-49536-7 | ||
982 | |2 132 |1 01 |x 0959 |8 00 |a EBooks Springer Intelligent Technologies & Robotics | ||
982 | |2 2001 |1 01 |x DE-21 |8 00 |s s |a eBook-Springer-Intelligent-Technologies-and-Robotics-2021 | ||
983 | |2 2143 |1 01 |x DE-Rav1 |8 00 |0 (DE-627)1343240476 |a eBook | ||
983 | |2 2159 |1 01 |x DE-984 |8 00 |0 (DE-627)1358168482 |a eBook | ||
983 | |2 2159 |1 01 |x DE-984 |8 00 |0 (DE-627)1743522975 |a eBook Springer Nature IntTechRobot | ||
985 | |2 23 |1 01 |x 0830 |a 2020-01472, 2020-01473, 2020-01474, 2020-01533, 2020-01534, 2020-01535, 2020-01536 | ||
995 | |2 20 |1 01 |x 0084 |a CATDESC_SPR-EB | ||
995 | |2 21 |1 01 |x 0046 |a ebook_2021_springer | ||
995 | |2 21 |1 01 |x 0046 |a ONL | ||
995 | |2 22 |1 01 |x 0018 |a olrm-h228-inr | ||
995 | |2 23 |1 01 |x 0830 |a olr-springer | ||
995 | |2 100 |1 01 |x 3100 |a OLR-SEB | ||
995 | |2 101 |1 01 |x 3101 |a OLR-SEB | ||
995 | |2 110 |1 01 |x 3110 |a OLR-SEB | ||
995 | |2 120 |1 01 |x 0715 |a alma | ||
995 | |2 130 |1 01 |x 0700 |a OLR-SEB | ||
995 | |2 132 |1 01 |x 0959 |a OLR-ESP-INR | ||
995 | |2 132 |1 01 |x 0959 |a OLR-ESP | ||
995 | |2 187 |1 01 |x 3520 |a OLR-SEB |