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14. Anatomic patterns and clinical significance of gastrocolic trunk of Henlé in laparoscopic right colectomy for colon cancer: Results of the HeLaRC trial

18. Changes in thyroid hormones predict weight regain in patients with obesity who undergo metabolic surgery.

19. Robotic colorectal cancer surgery in China: a nationwide retrospective observational study

20. STOPS study: total colectomy with ileorectal anastomosis versus subtotal colectomy with cecal-rectal anastomosis for slow transit constipation: a study protocol for a multicenter randomized controlled trial

22. Predictive values of proportional postoperative reduction of albumin for postoperative complications and long-term outcomes following sphincter-preserving surgery for rectal cancer

23. Morbidity, Mortality, and Pathologic Outcomes of Transanal Versus Laparoscopic Total Mesorectal Excision for Rectal Cancer Short-term Outcomes From a Multicenter Randomized Controlled Trial

24. Morbidity, Mortality, and Pathologic Outcomes of Transanal Versus Laparoscopic Total Mesorectal Excision for Rectal Cancer Short-term Outcomes From a Multicenter Randomized Controlled Trial

27. 400-Gbit/s Net Rate DP-OFDM Signals Fiber-THz -Fiber Seamless Transmission Employing Hybrid Time-Frequency-Polarization Domain Equalization

30. Autoencoder Learning of Constellation Shaping Robust to Semiconductor Laser Noise and Nonlinearity in Fiber-THz System

35. Anatomical characteristics and classifications of gastrocolic trunk of Henle in laparoscopic right colectomy: preliminary results of multicenter observational study

38. Experimental Comparison of Single-Carrier and Digital Subcarrier Multiplexing Transmissions in a W-Band 200 Gb/s Fiber-Wireless System Considering Transmitter IQ Imbalance and Skew Mitigation

47. Demonstration of Real-time 4×125.516 Gbit/s MMW-over-Fiber Passive Optical Network Transmission at W-Band Based on Optical Wavelength Routing Scheme

48. Real-Time Demonstration of 100 GbE THz-Wireless and Fiber Seamless Integration Networks

50. Dynamic RAN Slicing Mapping Under the Sliding Scheduled Traffic Model Based on Deep Reinforcement Learning in Elastic Optical Networks

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