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1Hederagenin is a Highly Selective Antagonist of the Neuropeptide FF Receptor 1 that Reveals Mechanisms for Subtype Selectivity
H. Lentschat, F. Liessmann, C. Tydings, T. Schermeng, J. Stichel, N. Urban, M. Schaefer, J. Meiler, and A. Beck‐Sickinger. Angewandte Chemie International Edition, (December 2025)
2 months ago by @scadsfct
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yaff
yaff
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1Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model
D. Mederer, H. Feilhauer, E. Cherif, K. Berger, T. Hank, K. Kovach, P. Dao, B. Lu, P. Townsend, and T. Kattenborn. ISPRS Open Journal of Photogrammetry and Remote Sensing, (December 2025)
6 months ago by @scadsfct
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remote_sensing
topic_earthenvironment
Imaging_spectroscopy
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Hyperspectral
Deep_learning
Biophysical_properties
Canopy_properties
Radiative_transfer_modeling
Plant_trait_retrieval
yaff
remote_sensingtopic_earthenvironmentImaging_spectroscopyxackHyperspectralDeep_learningBiophysical_propertiesCanopy_propertiesRadiative_transfer_modelingPlant_trait_retrievalyaff
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1“Ok Pal, we have to code that now”: interaction patterns of programming beginners with a conversational chatbot
A. Mailach, D. Gorgosch, N. Siegmund, and J. Siegmund. Empirical Software Engineering, 30 (1): 34 (Nov 30, 2025)
9 months ago by @scadsfct
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topic_software
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yaff
topic_softwarexackyaff
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1SynTemp: Efficient Extraction of Graph-Based Reaction Rules from Large-Scale Reaction Databases
T. Phan, K. Weinbauer, M. Gonzalez Laffitte, Y. Pan, D. Merkle, J. Andersen, R. Fagerberg, C. Flamm, and P. Stadler. Journal of Chemical Information and Modeling, 65 (6): 2882-2896 (September 2025)
9 months ago by @scadsfct
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Graph-Based
Efficient
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Extraction
Databases
Rules
Large-Scale
Reaction
SynTemp
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Graph-BasedEfficientxackExtractionDatabasesRulesLarge-ScaleReactionSynTempyaff
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2HeteroMRI: Robust white matter abnormality classification across multi-scanner MRI data
M. Abedi, N. Shekarchizadeh, P. Bazin, N. Scherf, J. Lier, C. Bergner, W. Köhler, and T. Kirsten. GigaScience, (August 2025)
3 days ago by @scadsfct
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MRI
HeteroMRI
data
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mulitscanner
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MRIHeteroMRIdataxackmulitscanneryaff
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1Artificial neural network small-sample-bias-corrections of the AR(1) parameter close to unit root
H. Jiang, O. Okhrin, and M. Rockinger. Statistica Neerlandica, (Jul 31, 2025)Publisher Copyright: © 2024 The Author(s). Statistica Neerlandica published by John Wiley & Sons Ltd on behalf of Netherlands Society for Statistics and Operations Research..
9 months ago by @scadsfct
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neural_network
small_sample_bias
bias_correction
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neural_networksmall_sample_biasbias_correctionyaff
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1SuperMetal: a generative AI framework for rapid and precise metal ion location prediction in proteins
X. Lin, Z. Su, Y. Liu, J. Liu, X. Kuang, P. Cummings, J. Spencer-Smith, and J. Meiler. Journal of Cheminformatics, 17 (1): 107 (Jul 15, 2025)
a month ago by @scadsfct
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framework
ai
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proteins
metal_ion_prediction
generative
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frameworkaixackproteinsmetal_ion_predictiongenerativeyaff
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1TIREx Tracker: The Information Retrieval Experiment Tracker
T. Hagen, M. Fröbe, J. Merker, H. Scells, M. Hagen, and M. Potthast. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, page 3764–3771. ACM, (July 2025)
a month ago by @scadsfct
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information_retrieval
TIREx
Tracker
yaff
information_retrievalTIRExTrackeryaff
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1TITE: Token-Independent Text Encoder for Information Retrieval
F. Schlatt, T. Hagen, M. Potthast, and M. Hagen. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, page 2493–2503. ACM, (July 2025)
a month ago by @scadsfct
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retrieval
text
encoder
information
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retrievaltextencoderinformationyaff
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1Prognostic implications of splenomegaly in BCMA-directed CAR T-Cell therapy for relapsed myeloma
T. Wiemers, M. Ferle, J. Ader, V. Sotikova, D. Fandrei, N. Grieb, L. Fischer, P. Born, H. Weidner, S. Wang and 13 other author(s). Transplantation and Cellular Therapy, (July 2025)
18 days ago by @scadsfct
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CAR
therapy
BCMA-directed
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T-Cell
yaff
CARtherapyBCMA-directedxackT-Cellyaff
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1The SPAR Model: A New Paradigm for Multivariate Extremes: Application to Joint Distributions of Metocean Variables
E. Mackay, C. Murphy-Barltrop, and P. Jonathan. Journal of Offshore Mechanics and Arctic Engineering, (July 2025)
11 months ago by @scadsfct
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imported
topic_mathfoundation
yaff
importedtopic_mathfoundationyaff
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2The Viability of Crowdsourcing for RAG Evaluation
L. Gienapp, T. Hagen, M. Fröbe, M. Hagen, B. Stein, M. Potthast, and H. Scells. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, page 159–169. ACM, (July 2025)
a month ago by @scadsfct
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crowdsourcing
RAG
evaluation
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crowdsourcingRAGevaluationxackyaff
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2Self-Supervised coherence-based denoising of cryoseismological distributed acoustic sensing data
J. Zitt (Eds.) Journal of Geophysical Research: Machine Learning and Computation, (July 2025)
18 days ago by @scadsfct
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sensing
cryoseismology
data
xack
acoustic
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sensingcryoseismologydataxackacousticyaff
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1A workflow to systematically design uncertainty-aware visual analytics applications
R. Maack, F. Raith, J. Pérez, G. Scheuermann, and C. Gillmann. The Visual Computer, 41 (3): 1485--1498 (Jun 7, 2025)
9 months ago by @scadsfct
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analytics
visual
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applications
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analyticsvisualxackapplicationsyaff
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1Evaluating Attention Management Systems for Dynamic Monitoring Tasks
A. Gasse, A. Lingler, M. Lorenz, A. Oulasvirta, P. Wintersberger, and P. Ebel. Adjunct Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work, page 1–6. ACM, (June 2025)
a month ago by @scadsfct
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xack
dynamic_monitoring_tasks
attention_management_systems
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xackdynamic_monitoring_tasksattention_management_systemsyaff
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1Understanding Debugging as Episodes: A Case Study on Performance Bugs in Configurable Software Systems
M. Weber, A. Mailach, S. Apel, J. Siegmund, R. Dachselt, and N. Siegmund. Proceedings of the ACM on Software Engineering, 2 (FSE): 1409–1431 (June 2025)
a month ago by @scadsfct
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bugs
systems
software
xack
yaff
bugssystemssoftwarexackyaff
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1Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants
M. Ertelt, R. Moretti, J. Meiler, and C. Schoeder. Science Advances, 11 (7): eadr7338 (June 2025)
9 months ago by @scadsfct
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machine_learning
protein_design
topic_lifescience
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yaff
machine_learningprotein_designtopic_lifesciencexackyaff
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1BiKA: Binarized KAN-inspired Neural Network for Efficient Hardware Accelerator Designs
Y. Liu, S. Ullah, and A. Kumar. 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), page 276-276. (May 2025)
a month ago by @scadsfct
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hardware
BiKA
neural_network
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hardwareBiKAneural_networkyaff
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1PLIP 2025: introducing protein–protein interactions to the protein–ligand interaction profiler
P. Schake, S. Bolz, K. Linnemann, and M. Schroeder. Nucleic Acids Research, 53 (W1): W463–W465 (May 2025)
a month ago by @scadsfct
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xack
proteins
yaff
xackproteinsyaff
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1Age‐stratified machine learning identifies divergent prognostic significance of molecular alterations in AML
J. Eckardt, W. Hahn, R. Ries, S. Chrost, S. Winter, S. Stasik, C. Röllig, U. Platzbecker, C. Müller‐Tidow, H. Serve and 12 other author(s). HemaSphere, (May 2025)
a month ago by @scadsfct
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machine_learning
AML
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machine_learningAMLyaff
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PUMA

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1Hederagenin is a Highly Selective Antagonist of the Neuropeptide FF Receptor 1 that Reveals Mechanisms for Subtype Selectivity

1Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model

1“Ok Pal, we have to code that now”: interaction patterns of programming beginners with a conversational chatbot

1SynTemp: Efficient Extraction of Graph-Based Reaction Rules from Large-Scale Reaction Databases

2HeteroMRI: Robust white matter abnormality classification across multi-scanner MRI data

1Artificial neural network small-sample-bias-corrections of the AR(1) parameter close to unit root

1SuperMetal: a generative AI framework for rapid and precise metal ion location prediction in proteins

1TIREx Tracker: The Information Retrieval Experiment Tracker

1TITE: Token-Independent Text Encoder for Information Retrieval

1Prognostic implications of splenomegaly in BCMA-directed CAR T-Cell therapy for relapsed myeloma

1The SPAR Model: A New Paradigm for Multivariate Extremes: Application to Joint Distributions of Metocean Variables

2The Viability of Crowdsourcing for RAG Evaluation

2Self-Supervised coherence-based denoising of cryoseismological distributed acoustic sensing data

1A workflow to systematically design uncertainty-aware visual analytics applications

1Evaluating Attention Management Systems for Dynamic Monitoring Tasks

1Understanding Debugging as Episodes: A Case Study on Performance Bugs in Configurable Software Systems

1Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants

1BiKA: Binarized KAN-inspired Neural Network for Efficient Hardware Accelerator Designs

1PLIP 2025: introducing protein–protein interactions to the protein–ligand interaction profiler

1Age‐stratified machine learning identifies divergent prognostic significance of molecular alterations in AML

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