Výsledky vyhledávání - "ZHAO Jinghua"

Akademický článek

Randomized controlled study of olanzapine oral soluble film versus intramuscular haloperidol against agitated behaviour in male inpatients with schizophrenia

Autor: Sun Longlong, Wu Yanhai, Li Yexin, Tan Chenchen, Cui Shu, Zhao Jinghua

Publikováno v: Sichuan jingshen weisheng, Vol 37, Iss 5, Pp 409-413 (2024)

BackgroundAgitated behaviour in male patients with schizophrenia can lead to serious consequences for the individual and the society. Non-invasive drug delivery may help to rapidly control agitation and improve the overall patient satisfaction， but

Externí odkaz: https://doaj.org/article/14c377bb5a524603ab6b409bb439050e

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Akademický článek

Effects of irrigation amount on soil water, water consumption and yield of spring maize in Northwestern China

Autor: ZHAO Jinghua, YUAN Ruxin, WANG Jinmao, MENG Xinmei, YANG Tingrui

Publikováno v: Guan'gai paishui xuebao, Vol 43, Iss 5, Pp 1-7 (2024)

【Objective】 The production of spring maize in Northwestern China relies on irrigation. The purpose of this paper is to investigate experimentally the impact of irrigation amount on the yield, water consumption of the maize, as well as soil water

Externí odkaz: https://doaj.org/article/eabc31a7e57f4b62bb9eee1b33c54569

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Akademický článek

The Effects of Irrigation Methods on Yield and Quality of Alfalfa

Autor: MA Mingjie, YANG Jige, LI Dongmin, YANG Wenxin, YANG Shengchun, WANG Kexian, ZHAO Jinghua, LI Chi, YUAN Ruxin

Publikováno v: Guan'gai paishui xuebao, Vol 42, Iss 11, Pp 24-30 (2023)

【Objective】 Alfalfa is a prevalent crop in northwestern China and its cultivation heavily depends on irrigation. This paper is to delve into the influence of irrigation methods on yield and quality of alfalfa, with the ultimate goal to improve it

Externí odkaz: https://doaj.org/article/23c8dee698a94bc6920b920f51e167ed

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Report

AudioEditor: A Training-Free Diffusion-Based Audio Editing Framework

Autor: Jia, Yuhang, Chen, Yang, Zhao, Jinghua, Zhao, Shiwan, Zeng, Wenjia, Chen, Yong, Qin, Yong

Diffusion-based text-to-audio (TTA) generation has made substantial progress, leveraging latent diffusion model (LDM) to produce high-quality, diverse and instruction-relevant audios. However, beyond generation, the task of audio editing remains equa

Externí odkaz: http://arxiv.org/abs/2409.12466