Zobrazeno 1 - 10
of 2 571
pro vyhledávání: '"Jiang Tingting"'
Publikováno v:
Shipin Kexue, Vol 45, Iss 10, Pp 80-88 (2024)
In this study, a passion fruit seed oil Pickering emulsion stabilized by β-lactoglobulin nanoparticles loaded with a ternary mixture of ferulic acid, quercetin and vanillic acid (β-LGCNPs) was prepared by an ultrasonic method. The particle size, st
Externí odkaz:
https://doaj.org/article/92685f62f77c4958bff31a642f19d355
Publikováno v:
Sichuan jingshen weisheng, Vol 37, Iss 2, Pp 114-119 (2024)
BackgroundRehabilitation for schizophrenia typically relies on pharmacological interventions, yet their efficacy in improving social function and quality of life remains limited. In recent years, non-pharmacological approaches have shown promise
Externí odkaz:
https://doaj.org/article/1ee1c3e82c9e4012abddc91951a04415
Publikováno v:
Shanghai yufang yixue, Vol 35, Iss 5, Pp 459-465 (2023)
ObjectiveTo examine the prevalence and influencing factors of smoking in urban and rural residents in Shaoxing City for providing evidences to effective tobacco control.MethodsWith stratified multistage random sampling, we conducted a face-to-face
Externí odkaz:
https://doaj.org/article/4536e8e324f5417ab2324d02b427fd8c
Publikováno v:
中西医结合护理, Vol 8, Iss 10, Pp 63-68 (2022)
Objective To investigate the risk factors of cardiac arrest and to establish the logistic regression model. Methods Totally 238 patients with mechanical ventilation in a tertiary hospital were selected from September, 2019 to January, 2020. Multiple
Externí odkaz:
https://doaj.org/article/bb81d8895a594b129c48673262efe913
Publikováno v:
MICCAI 2024
Electron microscopy (EM) imaging offers unparalleled resolution for analyzing neural tissues, crucial for uncovering the intricacies of synaptic connections and neural processes fundamental to understanding behavioral mechanisms. Recently, the founda
Externí odkaz:
http://arxiv.org/abs/2408.14114
Segmentation of surgical instruments is crucial for enhancing surgeon performance and ensuring patient safety. Conventional techniques such as binary, semantic, and instance segmentation share a common drawback: they do not accommodate the parts of i
Externí odkaz:
http://arxiv.org/abs/2408.01067
Aiming to predict the complete shapes of partially occluded objects, amodal segmentation is an important step towards visual intelligence. With crucial significance, practical prior knowledge derives from sufficient training, while limited amodal ann
Externí odkaz:
http://arxiv.org/abs/2405.16094
Deep neural networks have demonstrated impressive success in No-Reference Image Quality Assessment (NR-IQA). However, recent researches highlight the vulnerability of NR-IQA models to subtle adversarial perturbations, leading to inconsistencies betwe
Externí odkaz:
http://arxiv.org/abs/2404.13277
The task of No-Reference Image Quality Assessment (NR-IQA) is to estimate the quality score of an input image without additional information. NR-IQA models play a crucial role in the media industry, aiding in performance evaluation and optimization g
Externí odkaz:
http://arxiv.org/abs/2403.11397
No-Reference Image Quality Assessment (NR-IQA) aims to predict image quality scores consistent with human perception without relying on pristine reference images, serving as a crucial component in various visual tasks. Ensuring the robustness of NR-I
Externí odkaz:
http://arxiv.org/abs/2401.05217