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1. Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality

2. Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration

3. An ANXA11 P93S variant dysregulates TDP‐43 and causes corticobasal syndrome

5. HUVECs-encapsulation via Millimeter-sized Alginate Droplets

6. MELT: Mining Effective Lightweight Transformations from Pull Requests

7. The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions

8. The importance of entomo-virological investigation of yellow fever virus to strengthen surveillance in Brazil

11. Quality-Based Conditional Processing in Multi-Biometrics: Application to Sensor Interoperability

12. Designing a New Sustainable and Instrumented Tire: ECOTIRE

13. Innovative Teaching Project: Design and Optimization of a Tubular Chassis for Automobiles Using Generative Artificial Intelligence Tools

14. Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption

15. Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office Building

16. Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks

17. Author Correction: TDP-43 loss and ALS-risk SNPs drive mis-splicing and depletion of UNC13A

18. Isolation and sequencing of Orthoflavivirus ilheusense from mosquitoes collected in the Brazilian cerrado, West-Central region, Brazil

19. BiosecurID: a multimodal biometric database

21. TDP-43 loss and ALS-risk SNPs drive mis-splicing and depletion of UNC13A

24. SOAR: A Synthesis Approach for Data Science API Refactoring

25. Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm

28. CPU Computation Influence on Energy Consumption Forecasting Activities of a Building

29. CXCR6 positions cytotoxic T cells to receive critical survival signals in the tumor microenvironment

32. On Calibration of Mixup Training for Deep Neural Networks

33. Statistical Models in Forensic Voice Comparison

39. Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems

40. Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks

41. Coarse Graining of Data via Inhomogeneous Diffusion Condensation

42. Generative Models For Deep Learning with Very Scarce Data

49. A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts

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