Daniel M. Rose

Chemnitz University of Technology

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Joseph N. Cunningham

Oak Ridge National Laboratory

Israel J. Jacobowitz

North Mississippi Medical Center

Anthony J. Acinapura

Reaction Biology Corporation (United States)

Florin Adler

University of Münster

Chihaya Adachi

Kyushu University

David C. Grenz

University of Freiburg

Mathias Hermann

University of Freiburg

Jan S. Wössner

University of Freiburg

Chin‐Yiu Chan

City University of Hong Kong

Frank C. Spencer

NYU Langone Health

Cooperative Institutions

Imperial College Healthcare NHS Trust

106

King's College London

University of Manchester

Center for Rheumatology

Versus Arthritis

Manchester Academic Health Science Centre

University College London

University of Birmingham

Manchester University NHS Foundation Trust

National Institute for Health Research

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Let’s Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)

Vaishnavi Himakunthala Andy Ouyang Daniel M. Rose Ryan He Alex Mei

Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Wang. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

Chain (unit)

10.18653/v1/2023.emnlp-main.15

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Citations (2)

Spiroconjugated Tetraaminospirenes as Donors in Color‐Tunable Charge‐Transfer Emitters with Donor‐Acceptor Structure

Chemistry - A European Journal (2021)

David C. Grenz Daniel M. Rose Jan S. Wössner Jennifer Wilbuer Florin Adler

Charge-transfer emitters are attractive due to their color tunability and potentially high photoluminescence quantum yields (PLQYs). We herein present tetraaminospirenes as donor moieties, which, in combination with a variety of acceptors, furnished 12 charge-transfer emitters with a range of emission colors and PLQYs of up to 99 %. The spatial separation of their frontier molecular orbitals was obtained through careful structural design, and two DA structures were confirmed by X-ray crystallography. A range of photophysical measurements supported by DFT calculations shed light on the optoelectronic properties of this new family of spiro-NN-donor-acceptor dyes.

Acceptor

10.1002/chem.202104150

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Citations (3)

Panel 2 Ietraoperative management

The Annals of Thoracic Surgery (1989)

Jill Hill Robert L. Hardesty William A. Baumgartner Daniel M. Rose

10.1016/0003-4975(89)90246-4

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Citations (2)

Paraplegia following percutaneous insertion of an intra-aortic balloon

Journal of Thoracic and Cardiovascular Surgery (1984)

Daniel M. Rose Israel J. Jacobowitz Anthony J. Acinapura Joseph N. Cunningham

Paraplegia

Embolus

Etiology

10.1016/s0022-5223(19)38461-2

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Citations (22)

Does Secondary Cardioplegia Provide Long-term Recovery from Ischemic Injury?

The Annals of Thoracic Surgery (1983)

Daniel M. Rose Glenn R. Barnhart Michael Jones

Ischemic injury

10.1016/s0003-4975(10)61435-x

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Citations (12)

Improvement of left ventricular compliance utilizing a right ventricular assist device in sepsis-induced acute respiratory distress syndrome

Surgical forum (1987)

Bruce M. Toporoff Corrado P. Marini Anthony J. Acinapura Eddie L. Hoover Daniel M. Rose

Source

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Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought

arXiv (Cornell University) (2023)

Vaishnavi Himakunthala Andy Ouyang Daniel M. Rose Ryan He Alex Mei

Despite exciting recent results showing vision-language systems' capacity to reason about images using natural language, their capacity for video reasoning remains under-explored. We motivate framing video reasoning as the sequential understanding of a small number of keyframes, thereby leveraging the power and robustness of vision-language while alleviating the computational complexities of processing videos. To evaluate this novel application, we introduce VIP, an inference-time challenge dataset designed to explore models' reasoning capabilities through video chain-of-thought. Inspired by visually descriptive scene plays, we propose two formats for keyframe description: unstructured dense captions and structured scene descriptions that identify the focus, action, mood, objects, and setting (FAMOuS) of the keyframe. To evaluate video reasoning, we propose two tasks: Video Infilling and Video Prediction, which test abilities to generate multiple intermediate keyframes and predict future keyframes, respectively. We benchmark GPT-4, GPT-3, and VICUNA on VIP, demonstrate the performance gap in these complex video reasoning tasks, and encourage future work to prioritize language models for efficient and generalized video reasoning.

Robustness

10.48550/arxiv.2305.13903

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Efficacy of percutaneous transluminal coronary angioplasty compared with single-vessel bypass

Journal of Thoracic and Cardiovascular Surgery (1985)

Anthony J. Acinapura Joseph N. Cunningham Israel J. Jacobowitz Daniel M. Rose Marshall D. Kramer

Bypass surgery

10.1016/s0022-5223(19)38845-2

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Citations (26)

Cardiac Tamponade Secondary to Chylopericardium Following Cardiac Surgery: Case Report and Review of the Literature

The Annals of Thoracic Surgery (1982)

Daniel M. Rose Stephen B. Colvin Delores Danilowicz O. Wayne Isom

Pericardiectomy

Chyle

Pulmonary vein stenosis

10.1016/s0003-4975(10)62506-4

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Citations (30)

CCDC 2043983: Experimental Crystal Structure Determination

The Cambridge Structural Database (2021)

David C. Grenz Daniel M. Rose Jan S. Wössner Jennifer Wilbuer Florin Adler

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

10.5517/ccdc.csd.cc26lxyp

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Citations (0)