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1. Configurable computing: Configuring algorithms, processes, and architecture. issue I: Configuring algorithms and processes

2. Embedding Human Expert Cognition Into Autonomous UAS Trajectory Planning

3. Configurable computing: Configuring algorithms, processes, and architecture. Issue II : Configuring hardware architecture.

4. Big Data - State of the Art

5. The Hidden Web, XML and Semantic Web: A Scientific Data Management Perspective

6. The potential impacts of climate change on agriculture and fisheries production in 72 tropical coastal communities

7. ICTV Virus Taxonomy Profile: Nanoviridae

8. Human hepatocellular carcinomas with a periportal phenotype have the lowest potential for early recurrence after curative resection

9. Cyclophilin A allows the allosteric regulation of a structural motif in the disordered domain 2 of NS5A and thereby fine-tunes HCV RNA replication

10. Overview of the JET preparation for deuterium-tritium operation with the ITER like-wall

11. Phenotypic diversity spanning the spectrum of hepatocyte differentiation impacts the outcome of patients with beta-catenin-mutated hepatocellular carcinomas

12. Physical Sedimentology and Stratigraphy of the lower Western Fan (Shenandoah formation) Jezero Crater, Mars:: Results from the Mars 2020 'Delta Front' Campaign

13. NMR Meets Tau: Insights into Its Function and Pathology

14. Quasi one-dimensional band dispersion and surface metallization in long-range ordered polymeric wires

15. Environmental Controls of Size Distribution of Modern Planktonic Foraminifera in the Tropical Indian Ocean

16. SEDIMENTOLOGY AND STRATIGRAPHY OF THE LOWER DELTA SEQUENCE, JEZERO CRATER,MARS

17. Leveraging pleiotropic association using sparse group variable selection in genomics data

18. Multi T1-weighted contrast imaging and T1 mapping with compressed sensing FLAWS at 3 T

19. Carrier Transport Enhancement Mechanism in Highly Efficient Antimony Selenide Thin‐Film Solar Cell

20. Diverse Lava Flow Morphologies in the Stratigraphy of the Jezero Crater Floor

21. Insights into the Sedimentary Record and Processes of the Western Delta of Jezero crater (Mars) as observed by the Mars 2020 rover Perseverance. (Invited)

22. Moving away from macroscopic modelling of of transport processes in porous media: two-scale approaches and their applications

23. Size Distribution of Modern Planktonic Foraminifera in the tropical Indian Ocean: Environmental Controls and Paleo-reconstruction Potentials

24. There is a growing realization that the complexity of model ensemble studies depends not only on the models used but also on the experience and approach used by modelers to calibrate and validate results, which remain a source of uncertainty. Here, we applied a multi-criteria decision-making method to investigate the rationale applied by modelers in a model ensemble study where 12 process-based different biogeochemical model types were compared across five successive calibration stages. The modelers shared a common level of agreement about the importance of the variables used to initialize their models for calibration. However, we found inconsistency among modelers when judging the importance of input variables across different calibration stages. The level of subjective weighting attributed by modelers to calibration data decreased sequentially as the extent and number of variables provided increased. In this context, the perceived importance attributed to variables such as the fertilization rate, irrigation regime, soil texture, pH, and initial levels of soil organic carbon and nitrogen stocks was statistically different when classified according to model types. The importance attributed to input variables such as experimental duration, gross primary production, and netecosystem exchange varied significantly according to the length of the modeler’s experience. We argue that the gradual access to input data across the five calibration stages negatively influenced the consistency of the interpretations made by the modelers, with cognitive bias in 'trial-and-error' calibration routines. Our study highlights that overlooking human and social attributes is critical in the outcomes of modeling and model intercomparison studies. While complexity of the processes captured in the model algorithms and parameterization is important, we contend that (1) the modeler’s assumptions on the extent to which parameters should be altered and (2) modeler perceptions of the importance of model parameters are just as critical in obtaining a quality model calibration as numerical or analytical details

25. Economic analysis of choices among differing measures to manage coastal erosion in Hoi An (a UNESCO World Heritage Site)

26. Embedding Human Expert Cognition Into Autonomous UAS Trajectory Planning

27. Recentered importance sampling with applications to Bayesian model validation

28. A comparison of the igneous máaz formation at jezero crater with martian meteorites

29. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

30. Use in practice of importance sampling for repeated MCMC for Poisson models

31. Poly(2-allylamidopropyl-2-oxazoline)-Based Hydrogels: From Accelerated Gelation Kinetics to In Vivo Compatibility in a Murine Subdermal Implant Model

32. Importance Sampling combiné avec les algorithmes MCMC dans le cas d'estimations répétées

33. DATAMAN: A global database of nitrous oxide and ammonia emission factors for excreta deposited by livestock and land‐applied manure

34. Experimental-based mechanobiological modeling of the anabolic and catabolic effects of breast cancer on bone remodeling

35. Effects of spironolactone on serum markers of fibrosis in people at high risk of developing heart failure

36. Current NPP cannot predict future soil organic carbon sequestration potential. Comment on 'Photosynthetic limits on carbon sequestration in croplands'

37. National identity predicts public health support during a global pandemic

38. Tropical numerical methods for solving stochastic control problems

39. A versatile and straightforward process to turn plastics into antibacterial materials

40. Automatic recognition of microfossils using convolutionnal neural networks : applications of a high-throughput workflow for paleoceanographic reconstructions and biostratigraphy

41. Environmental controls of size distribution of modern planktonic foraminifera in the equatorial Indian ocean: A calibration study

42. The contribution of insects to global forest deadwood decomposition

43. Ammonia and nitrous oxide emission factors for excreta deposited by livestock and land-applied manure

44. Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations

45. Meta‐analysis of genome‐wide DNA methylation and integrative omics of age in human skeletal muscle

46. Citizens from 13 countries share similar preferences for COVID-19 vaccine allocation priorities

47. Does memory help optimise fruit fly foraging in a local heterogeneous landscape?

48. Phosphorylation and O-GlcNAcylation of the PHF-1 Epitope of Tau Protein Induce Local Conformational Changes of the C-Terminus and Modulate Tau Self-Assembly Into Fibrillar Aggregates

49. Obstacles et opportunités de la servicisation numérique des PME

50. Replication and George the Galapagos tortoise

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