Preprints

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2022-08-09
07:16
[FZJ-2022-03008] Preprint
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Discovery of all-D-peptide inhibitors of SARS CoV 2 3C-like protease
During the replication process of SARS-CoV-2 the main protease of the virus (3-chymotrypsin-like protease (3CLpro)) plays a pivotal role and is essential for the life cycle of the pathogen. Numerous studies have been conducted so far, which have confirmed 3CLpro as an attractive drug target to combat COVID-19. [...]

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2022-08-06
09:33
[FZJ-2022-02982] Preprint
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Quantum SVR for Chlorophyll Concentration Estimation in Water with Remote Sensing
The increasing availability of quantum computers motivates researching their potential capabilities in enhancing the performance of data analysis algorithms. Similarly as in other research communities, also in Remote Sensing (RS) it is not yet defined how its applications can benefit from the usage of quantum computing. [...]

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2022-07-30
19:12

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2022-07-12
15:22
[FZJ-2022-02721] Preprint
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Coherent noise enables probabilistic sequence replay in spiking neuronal networks
arXiv () [10.48550/arXiv.2206.10538]
Animals rely on different decision strategies when faced with ambiguous or uncertain cues. Depending on the context, decisions may be biased towards events that were most frequently experienced in the past, or be more explorative. [...]
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2022-07-08
13:21

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2022-07-08
13:13

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2022-07-04
17:22

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2022-06-13
11:46
OpenAccess [FZJ-2022-02369] Preprint
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Temperature forecasting by deep learning methods
Numerical weather prediction (NWP) models solve a system of partial differential equations based on physical laws to forecast the future state of the atmosphere. These models are deployed operationally, but they are computationally very expensive. [...]
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2022-05-31
12:06

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2022-05-24
13:47
OpenAccess [FZJ-2022-02246] Preprint
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Representing chemical history in ozone time-series predictions – a model experiment study building on the MLAir (v1.5) deep learning framework
Geoscientific model development discussions 2022, 1-27 () [10.5194/gmd-2022-122] special issue: "Benchmark datasets and machine learning algorithms for Earth system science data (ESSD/GMD inter-journal SI)"
Tropospheric ozone is a secondary air pollutant that is harmful to living beings and crops. Predicting ozone concentrations at specific locations is thus important to initiate protection measures, i.e. [...]
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