LIVIVO - Suchergebnisse -

Suchergebnis

Treffer 1 - 10 von insgesamt 20

Suchoptionen

Artikel ; Online: Advancing ovarian cancer diagnosis: harnessing artificial intelligence and novel biomarker strategies.

Farooqi, Hanzala Ahmed / Nabi, Rayyan / Hayder, Zeeshan / Zahid, Tabeer

Asia-Pacific journal of clinical oncology

2024

Sprache	Englisch
Erscheinungsdatum	2024-05-15
Erscheinungsland	Australia
Dokumenttyp	Letter
ZDB-ID	2187409-8
ISSN	1743-7563 ; 1743-7555
ISSN (online)	1743-7563
ISSN	1743-7555
DOI	10.1111/ajco.14078
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

Zusatzmaterialien

Über subito bestellen

Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

Details ▾
- Kostenpflichtig bestellen

Artikel ; Online: Phylogenetic and morphological studies of Sarcocornia (L.) A.J. Scott and Salicornia L. (Chenopodiaceae) and insights into plant diversity with first record of two species new for Tunisia

Hayder, Zaineb / Gaied, Roukaya Ben / Tlili, Abderrazak / Sbissi, Imed / Tarhouni, Mohamed

Genet Resour Crop Evol. 2023 Mar., v. 70, no. 3 p.717-729

2023

Abstract: This work represents a morphological and molecular study of Salicornia and Sarcocornia species growing in the southern dryland of Tunisia. Internal transcribed spacers of the rDNA (ITS) data of six specimens from seven locations are analyzed. Flowers and ...

Abstract	This work represents a morphological and molecular study of Salicornia and Sarcocornia species growing in the southern dryland of Tunisia. Internal transcribed spacers of the rDNA (ITS) data of six specimens from seven locations are analyzed. Flowers and seeds of Sarcocornia and Salicornia specimens are also compared. The results confirm the presence of Sarcocornia fruticosa (L.) A.J. Scott and two newly recorded species (Sarcocornia alpini (Lag.) Rivas Mart. and Salicornia emerici Duval-Jouve) in Tunisia. Flowers and seeds can be used to discriminate between the different specimens. Sarcocornia flowers have horizontal arrangement while Salicornia ones have triangular arrangement. The rounded and black seeds of S. fruticosa are the biggest. S. emerici seeds are light brown and elongated while those of S. alpini are flattened and dark brown.
Schlagwörter	Salicornia ; Sarcocornia fruticosa ; arid lands ; phylogeny ; species diversity ; Tunisia
Sprache	Englisch
Erscheinungsverlauf	2023-03
Umfang	p. 717-729.
Erscheinungsort	Springer Netherlands
Dokumenttyp	Artikel ; Online
ZDB-ID	1134125-7
ISSN	0925-9864
ISSN	0925-9864
DOI	10.1007/s10722-022-01454-y
Datenquelle	NAL Katalog (AGRICOLA)

Volltext online

Zugriff für angemeldete ZB MED Nutzerinnen und Nutzer

Zusatzmaterialien

Verfügbar in ZB MED Bonn

Z 4526: Hefte anzeigen

Über subito bestellen

Fernleihe an ZB MED

Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

Details ▾

Artikel: Detection of artemisinin effect on macrophage inducible nitric oxide gene expression in macrophage infected with Leishmania donovani.

Neamah, Suhair Dakhil / Ali, Hayder Z / Al-Halbosiy, Mohammad M F

Annals of parasitology

2022 Band 68, Heft 2, Seite(n) 331–338

Abstract: Leishmaniosis is a parasitic infection spreads to humans by sand flies. Over 20 different species of Leishmania are responsible for the disease, which infect over 14 million people around the world. Chemotherapy is one of the most effective treatments ... ...

Abstract	Leishmaniosis is a parasitic infection spreads to humans by sand flies. Over 20 different species of Leishmania are responsible for the disease, which infect over 14 million people around the world. Chemotherapy is one of the most effective treatments for leishmaniosis, however it is restricted by the high cost and/or toxicity. In this study, the possible effect of artemisinin (ART) was detected on intracellular amastigotes of Iraqi strain of Leishmania donovani in ex vivo condition in U937 macrophage cell line. Gene expression of inducible nitric oxide synthase (iNOS) in U937 macrophage was investigated, before and after treatment with artemisinin. Kinetic result by real-time PCR demonstrated that the iNOS expression folding reached the maximum at concentration of 500 μM after 24 hours, at 750 μM after 48 hours and at 1000 μM after 72 hours, which was 56, 11, and 6, respectively. The copy number of iNOS gene expression was also significantly higher in treated infected U937 cells compared to both non-treated-infected cells and intact macrophages, under different concentration of ART along the three times of follow-up. Moreover, stained macrophages with fluorescent DAPI proved that the percentage of intracellular infective amastigotes was decreased to the minimum in treated U937 cells, in comparison to non-treated cells. The minimal amastigote-invasion percentage was recorded at 1000 μM, which was 26%, 27%, 21% compared to 61%, 87%, 75% in untreated cells after 24, 48, 72 hours respectively. These findings demonstrated ART positive efficacy against iNOS expression and this compound can be further studied as novel therapeutic rather than toxic available chemotherapies.
Mesh-Begriff(e)	Artemisinins/pharmacology ; Artemisinins/therapeutic use ; Gene Expression ; Humans ; Leishmania donovani/genetics ; Macrophages ; Nitric Oxide/pharmacology ; Nitric Oxide Synthase Type II/genetics ; Nitric Oxide Synthase Type II/pharmacology ; U937 Cells
Chemische Substanzen	Artemisinins ; Nitric Oxide (31C4KY9ESH) ; Nitric Oxide Synthase Type II (EC 1.14.13.39)
Sprache	Englisch
Erscheinungsdatum	2022-07-10
Erscheinungsland	Poland
Dokumenttyp	Journal Article
ZDB-ID	2672322-0
ISSN	2299-0631 ; 0043-5163
ISSN	2299-0631 ; 0043-5163
DOI	10.17420/ap6802.439
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

Zusatzmaterialien

Verfügbar in ZB MED Köln/Königswinter

Zs.A 102: Hefte anzeigen

Standort:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Über subito bestellen

Details ▾
- Im ZB MED-Bestand
- Kostenpflichtig bestellen

Artikel ; Online: Deep learning approaches for seizure video analysis: A review.

Ahmedt-Aristizabal, David / Armin, Mohammad Ali / Hayder, Zeeshan / Garcia-Cairasco, Norberto / Petersson, Lars / Fookes, Clinton / Denman, Simon / McGonigal, Aileen

Epilepsy & behavior : E&B

2024 Band 154, Seite(n) 109735

Abstract: Seizure events can manifest as transient disruptions in the control of movements which may be organized in distinct behavioral sequences, accompanied or not by other observable features such as altered facial expressions. The analysis of these clinical ... ...

Abstract	Seizure events can manifest as transient disruptions in the control of movements which may be organized in distinct behavioral sequences, accompanied or not by other observable features such as altered facial expressions. The analysis of these clinical signs, referred to as semiology, is subject to observer variations when specialists evaluate video-recorded events in the clinical setting. To enhance the accuracy and consistency of evaluations, computer-aided video analysis of seizures has emerged as a natural avenue. In the field of medical applications, deep learning and computer vision approaches have driven substantial advancements. Historically, these approaches have been used for disease detection, classification, and prediction using diagnostic data; however, there has been limited exploration of their application in evaluating video-based motion detection in the clinical epileptology setting. While vision-based technologies do not aim to replace clinical expertise, they can significantly contribute to medical decision-making and patient care by providing quantitative evidence and decision support. Behavior monitoring tools offer several advantages such as providing objective information, detecting challenging-to-observe events, reducing documentation efforts, and extending assessment capabilities to areas with limited expertise. The main applications of these could be (1) improved seizure detection methods; (2) refined semiology analysis for predicting seizure type and cerebral localization. In this paper, we detail the foundation technologies used in vision-based systems in the analysis of seizure videos, highlighting their success in semiology detection and analysis, focusing on work published in the last 7 years. We systematically present these methods and indicate how the adoption of deep learning for the analysis of video recordings of seizures could be approached. Additionally, we illustrate how existing technologies can be interconnected through an integrated system for video-based semiology analysis. Each module can be customized and improved by adapting more accurate and robust deep learning approaches as these evolve. Finally, we discuss challenges and research directions for future studies.
Mesh-Begriff(e)	Humans ; Deep Learning ; Seizures/diagnosis ; Seizures/physiopathology ; Video Recording/methods ; Electroencephalography/methods
Sprache	Englisch
Erscheinungsdatum	2024-03-23
Erscheinungsland	United States
Dokumenttyp	Journal Article ; Review
ZDB-ID	2010587-3
ISSN	1525-5069 ; 1525-5050
ISSN (online)	1525-5069
ISSN	1525-5050
DOI	10.1016/j.yebeh.2024.109735
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

Volltext online

Zugriff für angemeldete ZB MED Nutzerinnen und Nutzer

Zusatzmaterialien

Verfügbar in ZB MED Köln/Königswinter

Zs.A 5289: Hefte anzeigen

Standort:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Über subito bestellen

Details ▾

Buch ; Online: Topological Deep Learning

Zia, Ali / Khamis, Abdelwahed / Nichols, James / Hayder, Zeeshan / Rolland, Vivien / Petersson, Lars

A Review of an Emerging Paradigm

2023

Abstract: Topological data analysis (TDA) provides insight into data shape. The summaries obtained by these methods are principled global descriptions of multi-dimensional data whilst exhibiting stable properties such as robustness to deformation and noise. Such ... ...

Abstract	Topological data analysis (TDA) provides insight into data shape. The summaries obtained by these methods are principled global descriptions of multi-dimensional data whilst exhibiting stable properties such as robustness to deformation and noise. Such properties are desirable in deep learning pipelines but they are typically obtained using non-TDA strategies. This is partly caused by the difficulty of combining TDA constructs (e.g. barcode and persistence diagrams) with current deep learning algorithms. Fortunately, we are now witnessing a growth of deep learning applications embracing topologically-guided components. In this survey, we review the nascent field of topological deep learning by first revisiting the core concepts of TDA. We then explore how the use of TDA techniques has evolved over time to support deep learning frameworks, and how they can be integrated into different aspects of deep learning. Furthermore, we touch on TDA usage for analyzing existing deep models; deep topological analytics. Finally, we discuss the challenges and future prospects of topological deep learning. Comment: 7 pages and 2 references
Schlagwörter	Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
Thema/Rubrik (Code)	006
Erscheinungsdatum	2023-02-07
Erscheinungsland	us
Dokumenttyp	Buch ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

Volltext online

Volltext online

Zusatzmaterialien

Fernleihe an ZB MED

Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

Buch ; Online: A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection

Gupta, Nikhel / Hayder, Zeeshan / Norris, Ray P. / Hyunh, Minh / Petersson, Lars

2023

Abstract: We present a novel multimodal dataset developed by expert astronomers to automate the detection and localisation of multi-component extended radio galaxies and their corresponding infrared hosts. The dataset comprises 4,155 instances of galaxies in 2,800 ...

Abstract	We present a novel multimodal dataset developed by expert astronomers to automate the detection and localisation of multi-component extended radio galaxies and their corresponding infrared hosts. The dataset comprises 4,155 instances of galaxies in 2,800 images with both radio and infrared modalities. Each instance contains information on the extended radio galaxy class, its corresponding bounding box that encompasses all of its components, pixel-level segmentation mask, and the position of its corresponding infrared host galaxy. Our dataset is the first publicly accessible dataset that includes images from a highly sensitive radio telescope, infrared satellite, and instance-level annotations for their identification. We benchmark several object detection algorithms on the dataset and propose a novel multimodal approach to identify radio galaxies and the positions of infrared hosts simultaneously. Comment: Accepted in NeurIPS 2023 conference ML4PS workshop (https://nips.cc/). The full version accepted in PASA, is available at https://doi.org/10.1017/pasa.2023.64
Schlagwörter	Computer Science - Computer Vision and Pattern Recognition ; Astrophysics - Cosmology and Nongalactic Astrophysics ; Astrophysics - Astrophysics of Galaxies ; Astrophysics - Instrumentation and Methods for Astrophysics
Thema/Rubrik (Code)	520
Erscheinungsdatum	2023-12-11
Erscheinungsland	us
Dokumenttyp	Buch ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

Volltext online

Volltext online

Zusatzmaterialien

Fernleihe an ZB MED

Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

Buch ; Online: Hyperbolic Audio-visual Zero-shot Learning

Hong, Jie / Hayder, Zeeshan / Han, Junlin / Fang, Pengfei / Harandi, Mehrtash / Petersson, Lars

2023

Abstract: Audio-visual zero-shot learning aims to classify samples consisting of a pair of corresponding audio and video sequences from classes that are not present during training. An analysis of the audio-visual data reveals a large degree of hyperbolicity, ... ...

Abstract	Audio-visual zero-shot learning aims to classify samples consisting of a pair of corresponding audio and video sequences from classes that are not present during training. An analysis of the audio-visual data reveals a large degree of hyperbolicity, indicating the potential benefit of using a hyperbolic transformation to achieve curvature-aware geometric learning, with the aim of exploring more complex hierarchical data structures for this task. The proposed approach employs a novel loss function that incorporates cross-modality alignment between video and audio features in the hyperbolic space. Additionally, we explore the use of multiple adaptive curvatures for hyperbolic projections. The experimental results on this very challenging task demonstrate that our proposed hyperbolic approach for zero-shot learning outperforms the SOTA method on three datasets: VGGSound-GZSL, UCF-GZSL, and ActivityNet-GZSL achieving a harmonic mean (HM) improvement of around 3.0%, 7.0%, and 5.3%, respectively. Comment: ICCV 2023
Schlagwörter	Computer Science - Computer Vision and Pattern Recognition
Thema/Rubrik (Code)	004
Erscheinungsdatum	2023-08-24
Erscheinungsland	us
Dokumenttyp	Buch ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

Volltext online

Volltext online

Zusatzmaterialien

Fernleihe an ZB MED

Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

Buch ; Online: RadioGalaxyNET

Gupta, Nikhel / Hayder, Zeeshan / Norris, Ray P. / Huynh, Minh / Petersson, Lars

Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts

2023

Abstract: Creating radio galaxy catalogues from next-generation deep surveys requires automated identification of associated components of extended sources and their corresponding infrared hosts. In this paper, we introduce RadioGalaxyNET, a multimodal dataset, ... ...

Abstract	Creating radio galaxy catalogues from next-generation deep surveys requires automated identification of associated components of extended sources and their corresponding infrared hosts. In this paper, we introduce RadioGalaxyNET, a multimodal dataset, and a suite of novel computer vision algorithms designed to automate the detection and localization of multi-component extended radio galaxies and their corresponding infrared hosts. The dataset comprises 4,155 instances of galaxies in 2,800 images with both radio and infrared channels. Each instance provides information about the extended radio galaxy class, its corresponding bounding box encompassing all components, the pixel-level segmentation mask, and the keypoint position of its corresponding infrared host galaxy. RadioGalaxyNET is the first dataset to include images from the highly sensitive Australian Square Kilometre Array Pathfinder (ASKAP) radio telescope, corresponding infrared images, and instance-level annotations for galaxy detection. We benchmark several object detection algorithms on the dataset and propose a novel multimodal approach to simultaneously detect radio galaxies and the positions of infrared hosts. Comment: Accepted for publication in PASA. The paper has 17 pages, 6 figures, 5 tables
Schlagwörter	Astrophysics - Instrumentation and Methods for Astrophysics ; Astrophysics - Cosmology and Nongalactic Astrophysics ; Astrophysics - Astrophysics of Galaxies ; Computer Science - Computer Vision and Pattern Recognition
Thema/Rubrik (Code)	520
Erscheinungsdatum	2023-11-30
Erscheinungsland	us
Dokumenttyp	Buch ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

Volltext online

Volltext online

Zusatzmaterialien

Fernleihe an ZB MED

Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

Artikel: Modeling of polyphenols extraction from pomegranate by-product using rotatable central composite design of experiments

Hayder, Zayneb / Elfalleh, Walid / Othman, Khadija Ben / Benabderrahim, Mohamed Ali / Hannachi, Hédia

Acta ecologica Sinica. 2021 Apr., v. 41, no. 2

2021

Abstract: There is a growing request to find an effective method of polyphenols extraction from agro-industry by-product as pomegranate. In this study, response surface methodology (RSM) was used to explore the effect of three factors on ultrasonic assisted ... ...

Abstract	There is a growing request to find an effective method of polyphenols extraction from agro-industry by-product as pomegranate. In this study, response surface methodology (RSM) was used to explore the effect of three factors on ultrasonic assisted extraction (UAE) of total polyphenols (TP), total flavonoids (TF) and condensed tannins (CT) from pomegranate peels. The optimal conditions were determined for each phenolic compound using regression model equations and 3-D plots. The high TP, TF and CT content were obtained with, respectively, liquid/solid ratio of 20.00, 9.77, 9.77, extraction time of 36.38, 41.82, 30.39 min and 36.00, 83.64, 59.26% of ethanol percentage. In fact, liquid/solid ratio of 20, extraction time of 30.94 min and 59.26% of ethanol gives the highest contents of TP, TF and CT simultaneously. The experimental values using optimal conditions agreed with the predicted values. The pomegranate peels extract obtained under optimum conditions have an effective antioxidant activity as determined by ABTS and DPPH assays.
Schlagwörter	agricultural industry ; antioxidant activity ; byproducts ; ethanol ; flavonoids ; liquids ; pomegranates ; regression analysis ; response surface methodology ; ultrasonics
Sprache	Englisch
Erscheinungsverlauf	2021-04
Umfang	p. 150-156.
Erscheinungsort	Elsevier B.V.
Dokumenttyp	Artikel
Anmerkung	NAL-AP-2-clean
ZDB-ID	2233694-1
ISSN	1872-2032 ; 1000-0933
ISSN (online)	1872-2032
ISSN	1000-0933
DOI	10.1016/j.chnaes.2020.10.003
Datenquelle	NAL Katalog (AGRICOLA)

Volltext online

Zugriff für angemeldete ZB MED Nutzerinnen und Nutzer

Zusatzmaterialien

Über subito bestellen

Details ▾
- Volltext online
- Kostenpflichtig bestellen

Artikel: Direct Seeding of Basmati Rice through Improved Drills: Potential and Constraints in Pakistani Farm Settings

Cheema, M. J. M. / Nauman, M. / Ghafoor, A. / Farooque, A. A. / Hayder, Z. / Ashraf, M. U. / Awais, M.

Applied engineering in agriculture. 2021, v. 37, no. 1

2021

Abstract: In Pakistan, rice is an important cash crop and is cultivated over 2.75 mha, generally as traditionally transplanted rice (TTPR). High labor costs and water requirements, time intensiveness, low plant populations, and increased methane emissions are ... ...

Abstract	In Pakistan, rice is an important cash crop and is cultivated over 2.75 mha, generally as traditionally transplanted rice (TTPR). High labor costs and water requirements, time intensiveness, low plant populations, and increased methane emissions are problems associated with TTPR. Alternatively, direct seeded rice (DSR) is now being adopted by rice growers for saving of labor cost (1-2 compared to 50-60 person-days/ha for TTPR), for time and water saving (10% to 30%), and most importantly for achieving the optimal plant population. Technical issues in machine design, and direct seeding, lack of farmers‘ awareness about the technology, and social issues are the major hurdles in wide scale adoption of this effective intervention. To identify and address these issues, a testing and calibration activity was conducted during 2017 in the eight major basmati rice producing districts of Punjab, Pakistan. Twenty-one DSR drills (model 2017) being used in the field were tested to determine efficiency and farmers‘ perceptions of the technology were noted. Plant germination percentage and vegetation vigor were also measured. The drawbacks in design, manufacturing, and assembling were identified in the DSR drills and modifications were made in the new model to improve efficiency. Fifty-three randomly selected modified DSR drills (model 2018) were calibrated in 2018 before the start of the rice-sowing season. In 2017 the study showed large variability in the row-to-row distance, seed rate and distances of individual drills, and resulting seed germination ranged from 20% to 90% sown at different sites. In 2018, the standard deviation (SD) of seed rate was improved from SD = 19.7 to 6.6 g/40 rev/tine while SD of row-to-row distance was reduced from 0.81 to 0.61 cm as compared to 2017 drill. The plant vigor measured in terms of the Normalized Difference Vegetation Index (NDVI) showed a good relationship with the plant population (R2 = 0.66) except at a few locations where weeds dominated. Important social issues identified were farmer‘s lack of interest in preparing the land, precision land leveling, seed treatment, timely inputs, and farmer‘s traditional thinking. However, farmers were motivated to consider adopting the DSR technology by demonstration plots established in 2017 by the Nuclear Institute for Agriculture & Biology (NIAB) and the Rice Research Institute (RRI), Kala Shah Kaku. Increased DSR machine sales in 2018 indicate the technology is being more widely adopted.
Schlagwörter	agriculture ; cash crops ; direct seeding ; farms ; labor ; methane ; models ; normalized difference vegetation index ; research institutions ; rice ; seed germination ; seed treatment ; standard deviation ; vegetation ; vigor ; Pakistan
Sprache	Englisch
Umfang	p. 53-63.
Erscheinungsort	American Society of Agricultural Engineers
Dokumenttyp	Artikel
ZDB-ID	54345-7
ISSN	0883-8542
ISSN	0883-8542
DOI	10.13031/aea.13372
Datenquelle	NAL Katalog (AGRICOLA)

Zusatzmaterialien

Verfügbar in ZB MED Bonn

Z 4767: Hefte anzeigen

Über subito bestellen

Fernleihe an ZB MED

Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

Details ▾
- Im ZB MED-Bestand
- Kostenpflichtig bestellen

Zum Seitenanfang

Ihre letzten Suchen

Zusatzmaterialien

Kategorien

Über subito bestellen

Volltext online

Zusatzmaterialien

Kategorien

Verfügbar in ZB MED Bonn

Über subito bestellen

Fernleihe an ZB MED

Zusatzmaterialien

Kategorien

Verfügbar in ZB MED Köln/Königswinter

Über subito bestellen

Volltext online

Zusatzmaterialien

Kategorien

Verfügbar in ZB MED Köln/Königswinter

Über subito bestellen

Volltext online

Zusatzmaterialien

Kategorien

Fernleihe an ZB MED

Volltext online

Zusatzmaterialien

Kategorien

Fernleihe an ZB MED

Volltext online

Zusatzmaterialien

Kategorien

Fernleihe an ZB MED

Volltext online

Zusatzmaterialien

Kategorien

Fernleihe an ZB MED

Volltext online

Zusatzmaterialien

Kategorien

Über subito bestellen

Zusatzmaterialien

Kategorien

Verfügbar in ZB MED Bonn

Über subito bestellen

Fernleihe an ZB MED