1. Multispecies deep learning using citizen science data produces more informative plant community models 

   Brun P.; Karger D.N.; Zurell D.; et al. (2024)

   Nature Communications

   In the age of big data, scientific progress is fundamentally limited by our capacity to extract critical information. Here, we map fine-grained spatiotemporal distributions for thousands of species, using deep neural networks (DNNs) and ubiquitous citizen science data. Based on 6.7 M observations, we jointly model the distributions of 2477 plant species and species aggregates across Switzerland with an ensemble of DNNs built with different ...

   Journal Article

2. Thousands of Induced Earthquakes per Month in West Texas Detected Using EQCCT 

   Chen Y.; Savvaidis A.; Saad O.M.; et al. (2024)

   Geosciences

   West Texas has been a seismically active region in the past decade due to the injection of industrial wastewater and hydrocarbon exploitation. The newly founded Texas seismological network has provided a catalog that characterizes the intense seismicity down to a magnitude of 1.5 Ml. However, there are numerous small-magnitude events (Ml < 1.0) occurring every day that are not analyzed and reported, due to the prohibitively high workload ...

   Journal Article

3. Optimal timing of a colonoscopy screening schedule depends on adenoma detection, adenoma risk, adherence to screening and the screening objective: A microsimulation study 

   Zaika V.; Prakash M.K.; Cheng C.Y.; et al. (2024)

   PLoS ONE

   Colonoscopy-based screening provides protection against colorectal cancer (CRC), but the optimal starting age and time intervals of screening colonoscopies are unknown. We aimed to determine an optimal screening schedule for the US population and its dependencies on the objective of screening (life years gained or incidence, mortality, or cost reduction) and the setting in which screening is performed. We used our established open-source ...

   Journal Article

4. Clumpy star formation and an obscured nuclear starburst in the luminous dusty z = 4 galaxy GN20 seen by MIRI/JWST 

   Bik A.; Alvarez-Marquez J.; Colina L.; et al. (2024)

   Astronomy & Astrophysics

   Dusty star-forming galaxies emit most of their light at far-infrared to millimeter wavelengths as their star formation is highly obscured. Far-infrared and millimeter observations have revealed their dust, neutral and molecular gas properties. The sensitivity of JWST at rest-frame optical and near-infrared wavelengths now allows the study of the stellar and ionized gas content. We investigate the spatially resolved distribution and ...

   Journal Article

5. Energy Management of Hydrogen Hybrid Electric Vehicles—Online-Capable Control 

   Machacek D.; Yasar N.; Widmer F.; et al. (2024)

   Energies

   The results shown in this paper extend our research group’s previous work, which presents the theoretically achievable hydrogen engine-out NO (Formula presented.) (H (Formula presented.) -NO (Formula presented.)) Pareto front of a hydrogen hybrid electric vehicle (H (Formula presented.) -HEV). While the Pareto front is calculated offline, which requires significant computing power and time, this work presents an online-capable algorithm ...

   Journal Article

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