Zobrazeno 1 - 10
of 1 013
pro vyhledávání: '"Hu Jiaqi"'
Effects of pre-freezing and sucrose impregnation methods on the quality of freeze-dried apple slices
Publikováno v:
Shipin yu jixie, Vol 40, Iss 6, Pp 185-191 (2024)
[Objective] This study aimed to investigate the effects of two pre-freezing methods (vacuum freezing and atmospheric pressure freezing) and two dipping methods (sucrose impregnation before pre-freezing and sucrose impregnation during freeze-drying) o
Externí odkaz:
https://doaj.org/article/00b5e0db47394f94a151eb2afedc026e
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 51, Iss 5, Pp 373-379 (2024)
Objective To explore the therapeutic effect of traditional Chinese medicine (TCM) on subsolid nodule (SSN). Methods A practical randomized controlled study method, including 254 SSN patients was adopted. The patients were divided into the TCM (102 ca
Externí odkaz:
https://doaj.org/article/0e0b21ea483a4d1c98c4a14d9ad11cc0
Autor:
Li Bin, Hu Jiaqi, Chen Changhao, Hu Hengren, Zhong Yetao, Song Ruichen, Cao Boyu, Peng Yunqi, Xia Xusheng, Chen Kai, Xia Zhilin
Publikováno v:
Nanophotonics, Vol 13, Iss 5, Pp 725-736 (2024)
Conventional static radiative coolers have an unadjustable cooling capacity, which often results in overcooling in low temperature environment. Therefore, there is a great need for an adaptive dynamic radiative cooler. However, such adaptive coolers
Externí odkaz:
https://doaj.org/article/daa2b040599b4fbd8705728fca8ea900
Autor:
Liang, Xiaoyu, Yu, Jiayuan, Mu, Lianrui, Zhuang, Jiedong, Hu, Jiaqi, Yang, Yuchen, Ye, Jiangnan, Lu, Lu, Chen, Jian, Hu, Haoji
Although Visual-Language Models (VLMs) have shown impressive capabilities in tasks like visual question answering and image captioning, they still struggle with hallucinations. Analysis of attention distribution in these models shows that VLMs tend t
Externí odkaz:
http://arxiv.org/abs/2409.06485
CLIP has achieved impressive zero-shot performance after pre-training on a large-scale dataset consisting of paired image-text data. Previous works have utilized CLIP by incorporating manually designed visual prompts like colored circles and blur mas
Externí odkaz:
http://arxiv.org/abs/2407.05578
The rapid advancements of Large Language Models (LLMs) tightly associate with the expansion of the training data size. However, the unchecked ultra-large-scale training sets introduce a series of potential risks like data contamination, i.e. the benc
Externí odkaz:
http://arxiv.org/abs/2405.11930
Quantum machine learning (QML) based on Noisy Intermediate-Scale Quantum (NISQ) devices hinges on the optimal utilization of limited quantum resources. While gate-based QML models are user-friendly for software engineers, their expressivity is restri
Externí odkaz:
http://arxiv.org/abs/2402.02880
This study presents an investigation of the isotropic superconductor Ti4Ir2O, focusing on its magnetic field vs. temperature phase diagram near and above the Pauli limit for superconductivity. The data exhibits characteristic features that align with
Externí odkaz:
http://arxiv.org/abs/2312.01914
Federated learning (FL) is becoming a major driving force behind machine learning as a service, where customers (clients) collaboratively benefit from shared local updates under the orchestration of the service provider (server). Representing clients
Externí odkaz:
http://arxiv.org/abs/2310.08961
Electrically controlled photonic circuits hold promise for information technologies with greatly improved energy efficiency and quantum information processing capabilities. However, weak nonlinearity and electrical response of typical photonic materi
Externí odkaz:
http://arxiv.org/abs/2308.08289