2,333 research outputs found
Fo shuo yao xing she shen jing 佛 說 要 行 捨 身經.
No full textFo shuo yao xing she shen jing 佛 說 要 行 捨 身 經Yao xing she shen jing 要 行 捨 身 經, cf. Fo shuo yao xing she shenjingNumérisation effectuée à partir d'un document original.Complet en 1 j.T . 2895, vol. 85, pp. 1414c-1415 c 19. Sūtra apocryphe. Très bonne écr. call. (ff. 1 et 4), écr.plus grande et moins soignée (ff. 2 et 3). Car. très effacés (f. 1). Quelquescar. grattés et récrits (ff. 1 et 4). 79 col. en tout, 16 à 19 car. par col.Marges sup. 2,3 à 3,5 cm, inf. 2,3 à 2,8 cm. Réglures (marges et réglure tracées à la pointe et à peine visibles sur les ff. 1 et 4)
Chun nuan hua kai de shi hou.
No full text姚雪垠著.附"萬人雜誌當代文藝筆戰實錄"小說.Yao Xxueyin zhu.Fu "wan ren za zhi dang dai wen yi bi zhan shi lu"Xiao shuo
Retracted: Intelligent design of rural residential environment guided by blockchain under the concept of green low carbon
No full textAbstract Retraction: [Shuo Cheng, Yao Lu, Intelligent design of rural residential environment guided by blockchain under the concept of green low carbon, IET Software 2023 (https://doi.org/10.1049/sfw2.12119)]. The above article from IET Software, published online on 5 February 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor‐in‐Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract
Pelliot chinois 2177
No full textContient : Fo shuo ma you san xiang jing 佛 說 馬 有 三 相 經 [trad. deZhi yao 支 曜]Numérisation effectuée à partir d'un document original
You guan liu xing xing gan mao (liu gan) yi miao de zhong yao qing kuang
No full textKey facts about influenza (flu) vaccine [Chinese]Transliterated tite: You guan liu xing xing gan mao (liu gan) yi miao de zhong yao qing kuang.Chinese translation of "Key Facts about Influenza (Flu) Vaccine\ue2\u20ac?At head of title: Qing kuang shuo ming shu\ucc\u2c6
Reconstruction of 3D Vertebral Models from a Single 2D Lateral Fluoroscopic Image
No full textAccurate three-dimensional (3D) models of lumbar vertebrae are required for image-based 3D kinematics analysis. MRI or CT datasets are frequently used to derive 3D models but have the disadvantages that they are expensive, time-consuming or involving ionizing radiation (e.g., CT acquisition). In this chapter, we present an alternative technique that can reconstruct a scaled 3D lumbar vertebral model from a single two-dimensional (2D) lateral fluoroscopic image and a statistical shape model. Cadaveric studies are conducted to verify the reconstruction accuracy by comparing the surface models reconstructed from a single lateral fluoroscopic image to the ground truth data from 3D CT segmentation. A mean reconstruction error between 0.7 and 1.4 mm was found
Graphical Model-Based Vertebra Identification from X-Ray Image(s)
No full textAutomated identification of vertebrae from X-ray image(s) is an important step for various medical image computing tasks such as 2D/3D rigid and non-rigid registration. In this chapter we present a graphical model-based solution for automated vertebra identification from X-ray image(s). Our solution does not ask for a training process using training data and has the capability to automatically determine the number of vertebrae visible in the image(s). This is achieved by combining a graphical model-based maximum a posterior probability (MAP) estimate with a mean-shift based clustering. Experiments conducted on simulated X-ray images as well as on a low-dose low quality X-ray spinal image of a scoliotic patient verified its performance
sj-doc-3-dhj-10.1177_20552076231171482 - Supplemental material for Neural networks based on attention architecture are robust to data missingness for early predicting hospital mortality in intensive care unit patients
No full textSupplemental material, sj-doc-3-dhj-10.1177_20552076231171482 for Neural networks based on attention architecture are robust to data missingness for early predicting hospital mortality in
intensive care unit patients by Zhixuan Zeng, Yang Liu, Shuo Yao, Jiqiang Liu, Bing Xiao, Chenxue Liu and Xun Gong in DIGITAL HEALTH</p
Aromatin D-J: Seven previously undescribed labdane diterpenoids isolated from Blumea aromatica
No full textSong, Zhijun, Yao, Caiyun, Wang, Shuo, Yan, Bingxiong, Wu, Yunqiu, Song, Shanshan, Liu, Xihui, Wu, Lingling, Gong, Xiaomei, He, Lili, He, Zhizhou, Ruan, Lijun, Miao, Jianhua (2021): Aromatin D-J: Seven previously undescribed labdane diterpenoids isolated from Blumea aromatica. Phytochemistry (112659) 184: 1-8, DOI: 10.1016/j.phytochem.2021.112659, URL: http://dx.doi.org/10.1016/j.phytochem.2021.11265
Shuo wen jiao yi chang pian: [15 juan. v.1
No full text姚文田, 嚴可均同撰]In oriental style.Yao Wentian, Yan Kejun tong zhuan
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