Discovery of novel Ooceraea (Hymenoptera: Formicidae: Dorylinae) species with 8-segmented antennae from China

Here we describe an Ooceraea species with 8-segmented antennae for the first time. A revised key for all the known species of this genus based on the worker caste is provided

Reflex Anuria: A Complication of Hyperthermic Intraperitoneal Chemotherapy

Reflex anuria (RA) is a rare cause of abrupt reduction of urine output following trauma, irritation, or painful stimuli to the kidneys, ureters, or surrounding organs. The mechanism of RA is a reflex spasm of both ureters and/or renal arterioles. It is a well-documented complication of colorectal surgeries and gynecological surgeries which involve placement of a ureteric stent for ureteric identification and prevention of injury. RA and post-renal obstruction can both be complications of intraperitoneal hyperthermic chemotherapy (HIPEC) in patients who are undergoing surgery for colorectal cancer and peritoneal carcinomatosis. HIPEC procedure can lead to inflammation of the entire abdomen, including the ureters. This inflammation can result in hematuria that can form clots along the urinary tract and cause post-renal obstruction. The inflammation can also result in RA. It is essential to maintain high urine output during the early postoperative period to prevent clots and the ensuing post renal obstruction. It is also important to identify RA and maintain a low threshold to treat it by placing ureteric stents even in the absence of overt bilateral hydronephrosis

Patients’ Compliance to Active Surveillance (AS) Protocol in Low-risk Prostate Cancer

Aim/Introduction Active surveillance (AS) is currently the preferred initial option for patients with low risk prostate cancer (PC). AS requires patients to undergo regular office visits with periodic testing. We measured patient compliance to NCCN guidelines for AS through review of medical record abstractions. Methods White and Black patients (n=221) with newly diagnosed low-risk PC on AS identified through a population-based cancer registry were surveyed at baseline (4 months after diagnosis) and at 2 year follow-up. 186 medical records reviewed and confirmed the AS protocol and compliance. Patient self-reported data were then compared with medical records data. Results Of the 186 patients who initially on AS, 151 remained on AS at 2 year follow-up. Overall, 55.2% (n=90) were guideline-concordant of having at least three PSA tests and one prostate biopsy during 2 year follow-up. Patients more likely guideline-concordant for PSA testing than guideline-concordant with prostate biopsy (76.7% vs. 66.9 %, respectively). Discussion Majority of patients on AS in this sample follow practice guidelines, but there is significant variation in the proportion of men on AS that meet guideline recommendations for follow-up PSA testing and repeat biopsy. These data highlight the need for further patients and providers education that emphasize the need of repeated testing including prostate biopsies to ensure safety of AS

NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation

In recent years, there has been a significant increase in focus on the interpolation task of computer vision. Despite the tremendous advancement of video interpolation, point cloud interpolation remains insufficiently explored. Meanwhile, the existence of numerous nonlinear large motions in real-world scenarios makes the point cloud interpolation task more challenging. In light of these issues, we present NeuralPCI: an end-to-end 4D spatio-temporal Neural field for 3D Point Cloud Interpolation, which implicitly integrates multi-frame information to handle nonlinear large motions for both indoor and outdoor scenarios. Furthermore, we construct a new multi-frame point cloud interpolation dataset called NL-Drive for large nonlinear motions in autonomous driving scenes to better demonstrate the superiority of our method. Ultimately, NeuralPCI achieves state-of-the-art performance on both DHB (Dynamic Human Bodies) and NL-Drive datasets. Beyond the interpolation task, our method can be naturally extended to point cloud extrapolation, morphing, and auto-labeling, which indicates its substantial potential in other domains. Codes are available at https://github.com/ispc-lab/NeuralPCI.Comment: Accepted by CVPR 2023. Project Page: https://dyfcalid.github.io/NeuralPC