Incremental Structure from Motion for Small-Scale Scenes Based on Auxiliary Calibration.

Scarce feature points are a critical limitation affecting the accuracy and stability of incremental structure from motion (SfM) in small-scale scenes. In this paper, we propose an incremental SfM method for small-scale scenes, combined with an auxiliary calibration plate. This approach increases the number of feature points in sparse regions, and we randomly generate feature points within those areas.

A Combined Frame Difference and Convolution Method for Moving Vehicle Detection in Satellite Videos.

To address the challenges of missed detections caused by insufficient shape and texture features and blurred boundaries in existing detection methods, this paper introduces a novel moving vehicle detection approach for satellite videos. The proposed method leverages frame difference and convolution to effectively integrate spatiotemporal information. First, a frame difference module (FDM) is designed, combining frame difference and convolution.

The effect of a 14-day Gymnema sylvestre intervention to reduce sugar intake in people self-identifying with a sweet tooth.

Gymnema sylvestre (GS) contains gymnemic acids which can reversibly suppress sweet taste responses. This randomised crossover study aimed to investigate whether supplemental GS use can reduce sugar cravings, sweet food desire and consumption among adults that identify as high sweet food consumers (having a 'sweet tooth'). Participants were told three different mints were trialled to avoid bias.

The Electric Field Guided HaCaT Cell Migration Through the EGFR/p38 MAPK/Akt Pathway.

Previous studies have shown that the endogenous electric field (EF) is an overriding cure in guiding cell migration toward the wound center to promote wound healing, but the mechanism underlying is unclear. In this study, we investigated the molecular mechanism of electric field-guided cell migration in human keratinocyte HaCaT cells. Our results showed that HaCaT cells migrate toward the anode under EFs.

3D modeling to predict vascular involvement in resectable pancreatic adenocarcinoma.

Background: Current management of patients with borderline resectable pancreatic adenocarcinoma (BR-PDAC) depends on the degree of involvement of the major arterial and venous structures. The aim of this study was to evaluate 3D segmentation and printing to predict tumor size and vascular involvement of BR-PDAC to improve pre-operative planning of vascular resection and better select patients for neoadjuvant therapy.

Methods: We retrospectively evaluated 16 patients with BR-PDAC near vascular structures who underwent pancreatoduodenectomy (PD) with or without vascular resection between 2015 and 2021.