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Akademický článek
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This paper investigates cash productivity as a signal for future stock performance, building on the cash-return framework of Faulkender and Wang (2006). Using financial and market data from WRDS, we calculate cash returns as a proxy for operational e
Externí odkaz:
http://arxiv.org/abs/2412.13311
Autor:
Shen, Che-Yung, Batoni, Paolo, Yang, Xilin, Li, Jingxi, Liao, Kun, Stack, Jared, Gardner, Jeff, Welch, Kevin, Ozcan, Aydogan
We present a broadband and polarization-insensitive unidirectional imager that operates at the visible part of the spectrum, where image formation occurs in one direction while in the opposite direction, it is blocked. This approach is enabled by dee
Externí odkaz:
http://arxiv.org/abs/2412.11374
Autor:
Han, Gyeo-Re, Goncharov, Artem, Eryilmaz, Merve, Ye, Shun, Joung, Hyou-Arm, Ghosh, Rajesh, Ngo, Emily, Tomoeda, Aoi, Lee, Yena, Ngo, Kevin, Melton, Elizabeth, Garner, Omai B., Di Carlo, Dino, Ozcan, Aydogan
Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grade sensitivity and precision in an accessible format. Here, we demonstrate high-sensitivity detection of cardiac troponin I (cTnI) through innovations
Externí odkaz:
http://arxiv.org/abs/2412.08945
Unidirectional optical systems enable selective control of light through asymmetric processing of radiation, effectively transmitting light in one direction while blocking unwanted propagation in the opposite direction. Here, we introduce a reciproca
Externí odkaz:
http://arxiv.org/abs/2412.06221
Autor:
Iturria-Rivera, Pedro Enrique, Gaigalas, Raimundas, Elsayed, Medhat, Bavand, Majid, Ozcan, Yigit, Erol-Kantarci, Melike
Extended Reality (XR) services are set to transform applications over 5th and 6th generation wireless networks, delivering immersive experiences. Concurrently, Artificial Intelligence (AI) advancements have expanded their role in wireless networks, h
Externí odkaz:
http://arxiv.org/abs/2411.14264
Autor:
Zhang, Yijie, Huang, Luzhe, Pillar, Nir, Li, Yuzhu, Migas, Lukasz G., Van de Plas, Raf, Spraggins, Jeffrey M., Ozcan, Aydogan
Imaging mass spectrometry (IMS) is a powerful tool for untargeted, highly multiplexed molecular mapping of tissue in biomedical research. IMS offers a means of mapping the spatial distributions of molecular species in biological tissue with unparalle
Externí odkaz:
http://arxiv.org/abs/2411.13120
Autor:
Barash, Danny, Manning, Emilie, Van Vleck, Aidan, Hirsch, Omri, Aye, Kyi Lei, Li, Jingxi, Scumpia, Philip O., Ozcan, Aydogan, Aasi, Sumaira, Rieger, Kerri E., Sarin, Kavita Y., Freifeld, Oren, Winetraub, Yonatan
Noninvasive optical imaging modalities can probe patient's tissue in 3D and over time generate gigabytes of clinically relevant data per sample. There is a need for AI models to analyze this data and assist clinical workflow. The lack of expert label
Externí odkaz:
http://arxiv.org/abs/2411.11613
Coronary artery disease (CAD), one of the leading causes of mortality worldwide, necessitates effective risk assessment strategies, with coronary artery calcium (CAC) scoring via computed tomography (CT) being a key method for prevention. Traditional
Externí odkaz:
http://arxiv.org/abs/2411.07976