1. Environmental Claim Detection 

   Stammbach, Dominik; Webersinke, Nicolas; Bingler, Julia Anna; et al. (2023)

   61ST CONFERENCE OF THE THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2023, VOL 2

   To transition to a green economy, environmental claims made by companies must be reliable, comparable, and verifiable. To analyze such claims at scale, automated methods are needed to detect them in the first place. However, there exist no datasets or models for this. Thus, this paper introduces the task of environmental claim detection. To accompany the task, we release an expert-annotated dataset and models trained on this dataset. We ...

   Conference Paper

2. A Fast Algorithm for Computing Prefix Probabilities 

   Nowak, Franz; Cotterell, Ryan (2023)

   61ST CONFERENCE OF THE THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2023, VOL 2

   Multiple algorithms are known for efficiently calculating the prefix probability of a string under a probabilistic context-free grammar (PCFG). Good algorithms for the problem have a runtime cubic in the length of the input string. However, some proposed algorithms are suboptimal with respect to the size of the grammar. This paper proposes a novel speed-up of Jelinek and Lafferty's (1991) algorithm, which runs in O(N-3|N |(3) + |N |(4)), ...

   Conference Paper

3. Design and Preclinical Evaluation of a Novel Prostate-Specific Membrane Antigen Radioligand Modified with a Transthyretin Binder 

   Vaccarin, Christian; Mapanao, Ana Katrina; Deberle, Luisa M.; et al. (2024)

   CANCERS

   Transthyretin binders have previously been used to improve the pharmacokinetic properties of small-molecule drug conjugates and could, thus, be utilized for radiopharmaceuticals as an alternative to the widely explored "albumin binder concept". In this study, a novel PSMA ligand modified with a transthyretin-binding entity (TB-01) was synthesized and labeled with lutetium-177 to obtain [Lu-177]Lu-PSMA-TB-01. A high and specific uptake of ...

   Journal Article

4. Gate Electrodes Enable Tunable Nanofluidic Particle Traps 

   Nicollier, Philippe M.; Ratschow, Aaron D.; Ruggeri, Francesca; et al. (2024)

   The Journal of Physical Chemistry Letters

   The ability to control the location of nanoscale objects in liquids is essential for fundamental and applied research from nanofluidics to molecular biology. To overcome their random Brownian motion, the electrostatic fluid trap creates local minima in potential energy by shaping electrostatic interactions with a tailored wall topography. However, this strategy is inherently static; once fabricated, the potential wells cannot be modulated. ...

   Journal Article

5. A New Multi-Resolution GNSS Tomography Method Based on Atmospheric Water Vapor Distributions 

   Zhang, Wenyuan; Moller, Gregor; Zheng, Nanshan; et al. (2024)

   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

   The global navigation satellite systems (GNSSs) water vapor tomography technique has been successfully used as a promising tool for sensing atmospheric water vapor and applied to weather forecasting in recent years. In most tomography models, the single grid resolution, i.e., the same horizontal resolution, is widely adopted to divide the 3-D tomographic domain into many small voxels. However, the single-resolution GNSS tomography (SRGT) ...

   Journal Article

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