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  1. Book ; Thesis: Ergebnisse der Strahlenbehandlung des nichtkleinzelligen Bronchialkarzinoms einschließlich Pancoasttumoren, Vena-cava-superior-Syndromen und Mehrfachtumoren

    Rothe, Sabine

    1993  

    Author's details eingereicht von Sabine Rothe
    Language German
    Size 72 Bl. : graph. Darst.
    Edition [Mikrofiche-Ausg.]
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Berlin, Humboldt-Univ., Diss., 1994
    Note 1 Mikrofiche
    HBZ-ID HT006450930
    Database Catalogue ZB MED Medicine, Health

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  2. Article ; Online: Surveillance of few-mode fiber-communication channels with a single hidden layer neural network.

    Pohle, Dennis / Rothe, Stefan / Koukourakis, Nektarios / Czarske, Jürgen

    Optics letters

    2022  Volume 47, Issue 5, Page(s) 1275–1278

    Abstract: Multi- and few-mode fibers (FMFs) promise to enhance the capacity of optical communication networks by orders of magnitude. The key for this evolution was the strong advancement of computational approaches that allowed inherent complex light transmission ...

    Abstract Multi- and few-mode fibers (FMFs) promise to enhance the capacity of optical communication networks by orders of magnitude. The key for this evolution was the strong advancement of computational approaches that allowed inherent complex light transmission to be surpassed, learned, or controlled, reined in by modal crosstalk and mode-dependent losses. However, complex light transmission through FMFs can be learned by a single hidden layer neural network (NN). The emerging developments in NNs additionally allow the implementation of novel concepts for security enhancements in optical communication. Once the transmission characteristics of FMFs are learned, it is possible to survey the incoming and outgoing light fields via monitoring channels during data transmission. If an eavesdropper tries to gain unauthorized access to the FMF, its transmission properties are impaired through sensitive modal crosstalk. This process is registered by the NN and thus the eavesdropper is revealed. With our solution, the security of optical communication can be improved.
    MeSH term(s) Neural Networks, Computer
    Language English
    Publishing date 2022-02-18
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4794
    ISSN (online) 1539-4794
    DOI 10.1364/OL.445885
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Thesis: Untersuchungen zur Frage der vegetativen Stabilisierung durch Abhärtungsmaßnahmen

    Rothe, Sabine

    1999  

    Author's details vorgelegt von Sabine Rothe, geb. Zimmermann
    Language German
    Size 125 Bl. : graph. Darst.
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Berlin, Humboldt-Univ., Diss., 1999
    HBZ-ID HT011088327
    Database Catalogue ZB MED Medicine, Health

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  4. Book ; Online: LM-CPPF

    Abaskohi, Amirhossein / Rothe, Sascha / Yaghoobzadeh, Yadollah

    Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning

    2023  

    Abstract: In recent years, there has been significant progress in developing pre-trained language models for NLP. However, these models often struggle when fine-tuned on small datasets. To address this issue, researchers have proposed various adaptation approaches. ...

    Abstract In recent years, there has been significant progress in developing pre-trained language models for NLP. However, these models often struggle when fine-tuned on small datasets. To address this issue, researchers have proposed various adaptation approaches. Prompt-based tuning is arguably the most common way, especially for larger models. Previous research shows that adding contrastive learning to prompt-based fine-tuning is effective as it helps the model generate embeddings that are more distinguishable between classes, and it can also be more sample-efficient as the model learns from positive and negative examples simultaneously. One of the most important components of contrastive learning is data augmentation, but unlike computer vision, effective data augmentation for NLP is still challenging. This paper proposes LM-CPPF, Contrastive Paraphrasing-guided Prompt-based Fine-tuning of Language Models, which leverages prompt-based few-shot paraphrasing using generative language models, especially large language models such as GPT-3 and OPT-175B, for data augmentation. Our experiments on multiple text classification benchmarks show that this augmentation method outperforms other methods, such as easy data augmentation, back translation, and multiple templates.

    Comment: 10 pages, 1 figure, 8 tables, 1 algorithm Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics
    Keywords Computer Science - Computation and Language
    Subject code 006
    Publishing date 2023-05-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Thesis: Durchflußzytometrische Untersuchung von Blutstammzellpräparationen nach Selektion CD34+ hämatopoetischer Progenitorzellen

    Rothe, Stefan

    1998  

    Author's details vorgelegt von Stefan Rothe
    Language German
    Size III, 63 Bl., Ill., graph. Darst.
    Edition [Mikrofiche-Ausg.]
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Freiburg (Breisgau), Univ., Diss., 1999
    HBZ-ID HT013111422
    Database Catalogue ZB MED Medicine, Health

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  6. Article ; Online: Multimodal in-vehicle lighting system increases daytime light exposure and alertness in truck drivers under Arctic winter conditions.

    Popp, Roland F J / Ottersbach, Julia / Wetter, Thomas C / Schüler, Sebastian / Rothe, Siegfried / Betz, Daniel / Staggl, Siegmund / Canazei, Markus

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 9925

    Abstract: Drowsiness while driving negatively impacts road safety, especially in truck drivers. The present study investigated the feasibility and alerting effects of a daylight-supplementing in-truck lighting system (DS) providing short-wavelength enriched light ... ...

    Abstract Drowsiness while driving negatively impacts road safety, especially in truck drivers. The present study investigated the feasibility and alerting effects of a daylight-supplementing in-truck lighting system (DS) providing short-wavelength enriched light before, during, and after driving. In a within-participants design, eight truck drivers drove a fully-loaded truck under wintry Scandinavian conditions (low daylight levels) with a DS or placebo system for five days. Subjective and objective measures of alertness were recorded several times daily, and evening melatonin levels were recorded three times per study condition. DS significantly increased daytime light exposure without causing negative side effects while driving. In addition, no negative carry-over effects were observed on evening melatonin and sleepiness levels or on nighttime sleep quality. Moreover, objective alertness (i.e., psychomotor vigilance) before and after driving was significantly improved by bright light exposure. This effect was accompanied by improved subjective alertness in the morning. This field study demonstrated that DS was able to increase daytime light exposure in low-daylight conditions and to improve alertness in truck drivers before and after driving (e.g., during driving rest periods). Further studies are warranted to investigate the effects of daylight-supplementing in-cabin lighting on driving performance and road safety measures.
    MeSH term(s) Humans ; Automobile Driving ; Lighting ; Male ; Adult ; Melatonin/metabolism ; Motor Vehicles ; Seasons ; Arctic Regions ; Wakefulness/physiology ; Wakefulness/radiation effects ; Female ; Middle Aged ; Psychomotor Performance/radiation effects ; Light ; Circadian Rhythm/physiology ; Truck Drivers
    Chemical Substances Melatonin (JL5DK93RCL)
    Language English
    Publishing date 2024-04-30
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-60308-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online ; Thesis: Electro-thermo-mechanical modeling of field assisted sintering technology: experiments, constitutive modeling and finite element analysis

    Rothe, Steffen

    (Berichte des Instituts für Technische Mechanik ; 2015,1)

    2015  

    Author's details Steffen Rothe
    Series title Berichte des Instituts für Technische Mechanik ; 2015,1
    Language English
    Size Online-Ressource
    Publisher Universitätsbibliothek Clausthal
    Publishing place Clausthal-Zellerfeld
    Document type Book ; Online ; Thesis
    Thesis / German Habilitation thesis Techn. Univ., Diss.--Clausthal-Zellerfeld, 2014
    ISBN 9783945086643 ; 3945086647
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  8. Book ; Online ; Thesis: Electro-thermo-mechanical modeling of field assisted sintering technology: experiments, constitutive modeling and finite element analysis

    Rothe, Steffen

    (Berichte des Instituts für Technische Mechanik ; 2015,1)

    2015  

    Author's details Steffen Rothe
    Series title Berichte des Instituts für Technische Mechanik ; 2015,1
    Keywords Isostatisches Heißpressen ; Prozessinnovation ; Prozesssimulation ; Mehrfeldproblem
    Language English
    Size Online-Ressource
    Publisher Universitätsbibliothek Clausthal
    Publishing place Clausthal-Zellerfeld
    Document type Book ; Online ; Thesis
    Thesis / German Habilitation thesis Techn. Univ., Diss.--Clausthal-Zellerfeld, 2014
    ISBN 9783945086643 ; 3945086647
    Database Former special subject collection: coastal and deep sea fishing

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  9. Book ; Online: Generative 3D Animation Pipelines

    Girbig, Julius / Ou, Changkun / Rothe, Sylvia

    Automating Facial Retargeting Workflows

    2022  

    Abstract: Design tools in the 3D industry, while powerful, are still tedious and labor-intensive when it comes to bringing a creative idea for a visual effect to life. In this position paper, we discussed how an infamous generative synthetic media, deepfakes, ... ...

    Abstract Design tools in the 3D industry, while powerful, are still tedious and labor-intensive when it comes to bringing a creative idea for a visual effect to life. In this position paper, we discussed how an infamous generative synthetic media, deepfakes, could be of use and embedded into common sophisticated 3D workflows to reduce user workloads in areas such as 3D model editing, material design, and character animation. As a case discussion, we also prototyped a tool to address the retargeting problem in character animation. Although deepfakes themselves have received a negative public image, the results of our interviews with field experts are unexpectedly positive in regard to our tool that utilizes deepfake algorithms. Lastly, we also discussed our experience and observed design practices to put deepfakes to good use, including how we could avoid potential misuses directly by design, how this design changes user interactions, and subsequent open issues.

    Comment: 4 pages, 1 figure
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Graphics ; I.3.7
    Publishing date 2022-04-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Thesis: Halbautomatische Überprüfung von kollektiven MPI-Operatioenn zur Identifikation von Leistungsinkonsistenzen

    Rothe, Sebastian

    2014  

    Author's details vorgelegt von: Sebastian Rothe
    Language German
    Size 63 S., graph. Darst.
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Univ., Fachbereich Informatik, Bachelorarbeit--Hamburg, 2014
    Database Former special subject collection: coastal and deep sea fishing

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