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1. Exploring the Impact of the COVID-19 pandemic on depression in middle-aged and older Canadians with diabetes: Insights on incidence, recurrence, and risk factors from the Canadian longitudinal study on aging

2. Prevalence and Associations of Dural Arteriovenous Fistulae in Cerebral Venous Thrombosis: Analysis of ACTION-CVT

3. Lipid nanoparticles with PEG-variant surface modifications mediate genome editing in the mouse retina

4. Modeled small airways lung deposition of two fixed-dose triple therapy combinations assessed with in silico functional respiratory imaging

5. Optimising DTwP-containing vaccine infant immunisation schedules (OptImms) — a protocol for two parallel, open-label, randomised controlled trials

6. Detection and absolute quantification of Lactiplantibacillus plantarum ATCC 202195 by quantitative real-time PCR

7. NBTXR3, a first-in-class radioenhancer for pancreatic ductal adenocarcinoma: Report of first patient experience

8. COVID-19 vaccine effectiveness and variants in Nepal: study protocol for a test-negative case–control study with SARS-CoV-2 genetic sequencing

9. Identifying molecular and functional similarities and differences between human primary cardiac valve interstitial cells and ventricular fibroblasts

10. VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency

11. Paradigm-Based Automatic HDL Code Generation Using LLMs

12. Depression during the COVID-19 pandemic among older Canadians with peptic ulcer disease: Analysis of the Canadian Longitudinal Study on Aging.

13. Finding ikigai: How robots can support meaning in later life

14. An exploratory analysis of the response to ChAdOx1 nCoV-19 (AZD1222) vaccine in males and females

15. CorrectBench: Automatic Testbench Generation with Functional Self-Correction using LLMs for HDL Design

16. LLM-Aided Efficient Hardware Design Automation

17. Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression

18. An Efficient General-Purpose Optical Accelerator for Neural Networks

19. Classification-Based Automatic HDL Code Generation Using LLMs

20. AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design

21. Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models

22. BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks

23. LiveMind: Low-latency Large Language Models with Simultaneous Inference

24. EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration

25. Class-Aware Pruning for Efficient Neural Networks

26. OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation

27. The Future Is Now—Prospective Study of Radiosurgery for More Than 4 Brain Metastases to Start in 2018!

28. Evaluating the impact of health warnings in Brazil over 7 years (2009 - 2016): findings from the ITC Brazil Wave 1-3 surveys

29. Reasons for e-cigarette use and perceptions of harm in Brazil: findings from the ITC Brazil Wave 2 (2012-13) and 3 (2016-17) surveys

30. Effectiveness of TAPS bans and public support for point-of-sale (POS) bans in Brazil: findings from the ITC Brazil Survey, 2009-17

31. Effectiveness of the ban on tobacco industry sponsorship in Brazil: findings from the ITC Brazil Wave 1 to 3 Surveys (2009 to 2016 - 17)

32. Early-Exit with Class Exclusion for Efficient Inference of Neural Networks

33. Logic Design of Neural Networks for High-Throughput and Low-Power Applications

35. Expressivity Enhancement with Efficient Quadratic Neurons for Convolutional Neural Networks

36. PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration

37. Impact of care disparities in radiation oncology

38. Validation of a Drug-Related Problem Classification System for the Intermediate and Long-Term Care Setting in Singapore

40. Class-based Quantization for Neural Networks

41. SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement

42. CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation

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