المؤلفون: ZHANG Huiling (张惠玲), YU Shuang (余爽), SHI Hui (施慧), XIA Zheyuan (夏哲远), MENG Yahui (孟亚慧), HAO Shujie (郝书婕), YUAN Yamei (袁亚美), LI Yifang (李一芳), WANG Xiaomei (王晓妹)

المصدر: 中西医结合护理, Vol 10, Iss 1, Pp 164-168 (2024)

مصطلحات موضوعية: ideological and political education, traditional chinese medicine nursing, narrative nursing, narrative medicine, nursing education, 课程思政, 中医护理学, 叙事护理, 叙事医学, 护理教学, Nursing, RT1-120

الوصف: Objective To investigate the application effect of narrative medicine in the ideological and political education of Traditional Chinese Medicine nursing courses. Methods Totally120 nursing students from two classes in a certain university of Traditional Chinese Medicine were divided into the two groups by cluster grouping method. The course assessment score, narrative nursing knowledge-attitude-behavior questionnaire and Jefferson Scales of Empathy (JSE) were used to evaluate the teaching effect. Results The final exam scores for the study group and control groups were (87. 65±8. 42) points and (79. 34±4. 23) points, respectively, and with a significant difference (P＜0. 01). The narrative nursing knowledge-attitude-behavior scores for the study group and control groups were (98. 54±4. 73) points and (80. 23±4. 51) points, respectively, with a significant difference (P＜0. 01). The JSE scores for the study group and control groups after training were (118. 27±8. 13) points and (105. 47±6. 24) points, respectively, with a significant difference (P＜0. 01). Conclusion It is effective to improve the teaching effect and empathy level of nursing students by integrating narrative medicine into the ideological and political education of Traditional Chinese Medicine nursing courses (目的 探讨叙事医学融入《中医护理学》课程思政教学中的应用效果。方法 2021年9月—12月, 选取两个班级120名护理专业学生为对象, 其中一个班级(n=60)设为对照组, 按照《中医护理学》教学大纲内容进行教学; 另一个班级(n=60)设为研究组, 将叙事医学融入《中医护理学》课程思政教学。对比两组课程总成绩、叙事护理知识-态度-行为问卷、Jefferson同理心测量量表(JSE)评分。结果 研究组学生课程总成绩为(87. 65±4. 23)分, 差异有统计学意义(P＜0. 01); 研究组学生叙事护理知信行得分为(98. 54±4. 73)分, 高于对照组的(80. 23±4. 51)分, 差异有统计学意义(P＜0. 01)。研究组学生JSE量表得分为(118. 27±6. 24)分、差异有统计学意义(P＜0. 01)。结论 将叙事医学融入中医护理学课程思政教学, 有助于提高教学效果, 提升护生共情水平。)

وصف الملف: electronic resource

العلاقة: http://www.zxyjhhl.hk/thesisDetails#10.55111/j.issn2709-1961.20230919003Test; https://doaj.org/toc/2709-1961Test

الوصول الحر: https://doaj.org/article/dec122b6d1bb42699c526adcb36382ccTest

المؤلفون: Fan Xu, Yuke Li, Qing Zou, Yu Shuang He, Zijia Shen, Chen Li, Huijuan Zhang, Feipeng Wang, Jian Li, Yu Wang

المصدر: Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)

مصطلحات موضوعية: Science

الوصف: Nanocomposites are promising dielectric candidates due to their nano-modification effect. Here authors report homogeneous nano-sieves of different pore sizes and incorporate them uniformly into P(VDF-HFP)-based films with extremely low dopings.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2041-1723Test

الوصول الحر: https://doaj.org/article/48bb6660ca054c5b8765f0a1976659ddTest

المؤلفون: Yu Shuang Ren, Muhammad Ilyas, Rui Ze Xu, Waqas Ahmad, Rui Wang

المصدر: Adsorption Science & Technology, Vol 2022 (2022)

مصطلحات موضوعية: Physical and theoretical chemistry, QD450-801

الوصف: Lead (Pb) is a toxic environmental contaminant, which enters water bodies from natural and anthropogenic activities. The present study investigates the Pb concentration in groundwater sources and evaluates their potential health risks in Palosai area, Peshawar, Khyber Pakhtunkhwa, Pakistan. Groundwater samples were collected from different groundwater sources in the area where the human blood samples were from the dependent residents. Pb concentration was analyzed using an atomic absorption spectrophotometer and compared with the permissible limits set by Pakistan Environmental Protection Agency and World Health Organization (WHO). The levels of physicochemical parameters were observed within the said safe limits, while the levels of Pb in different groundwater sources (tube wells and wells) showed a little bit variation. Health risk indicators such as chronic daily intake (CDI) and hazard quotient (HQ) were calculated for Pb. The calculated value of CDI and HQ for Pb via groundwater consumption was 0.001 mg/kg·day and 2.8E−02 mg/kg·day, respectively; however, the overall HQ values of Pb in the groundwater were less than 1, indicating no health risk to the local depending community.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2048-4038Test

الوصول الحر: https://doaj.org/article/5f5c947c6d5a48f88fcbedf1473ca398Test

المؤلفون: Li, Hongwei Bran, Navarro, Fernando, Ezhov, Ivan, Bayat, Amirhossein, Das, Dhritiman, Kofler, Florian, Shit, Suprosanna, Waldmannstetter, Diana, Paetzold, Johannes C., Hu, Xiaobin, Wiestler, Benedikt, Zimmer, Lucas, Amiranashvili, Tamaz, Prabhakar, Chinmay, Berger, Christoph, Weidner, Jonas, Alonso-Basant, Michelle, Rashid, Arif, Baid, Ujjwal, Adel, Wesam, Ali, Deniz, Baheti, Bhakti, Bai, Yingbin, Bhatt, Ishaan, Cetindag, Sabri Can, Chen, Wenting, Cheng, Li, Dutand, Prasad, Dular, Lara, Elattar, Mustafa A., Feng, Ming, Gao, Shengbo, Huisman, Henkjan, Hu, Weifeng, Innani, Shubham, Jiat, Wei, Karimi, Davood, Kuijf, Hugo J., Kwak, Jin Tae, Le, Hoang Long, Lia, Xiang, Lin, Huiyan, Liu, Tongliang, Ma, Jun, Ma, Kai, Ma, Ting, Oksuz, Ilkay, Holland, Robbie, Oliveira, Arlindo L., Pal, Jimut Bahan, Pei, Xuan, Qiao, Maoying, Saha, Anindo, Selvan, Raghavendra, Shen, Linlin, Silva, Joao Lourenco, Spiclin, Ziga, Talbar, Sanjay, Wang, Dadong, Wang, Wei, Wang, Xiong, Wang, Yin, Xia, Ruiling, Xu, Kele, Yan, Yanwu, Yergin, Mert, Yu, Shuang, Zeng, Lingxi, Zhang, YingLin, Zhao, Jiachen, Zheng, Yefeng, Zukovec, Martin, Do, Richard, Becker, Anton, Simpson, Amber, Konukoglu, Ender, Jakab, Andras, Bakas, Spyridon, Joskowicz, Leo, Menze, Bjoern

مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

الوصف: Uncertainty in medical image segmentation tasks, especially inter-rater variability, arising from differences in interpretations and annotations by various experts, presents a significant challenge in achieving consistent and reliable image segmentation. This variability not only reflects the inherent complexity and subjective nature of medical image interpretation but also directly impacts the development and evaluation of automated segmentation algorithms. Accurately modeling and quantifying this variability is essential for enhancing the robustness and clinical applicability of these algorithms. We report the set-up and summarize the benchmark results of the Quantification of Uncertainties in Biomedical Image Quantification Challenge (QUBIQ), which was organized in conjunction with International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020 and 2021. The challenge focuses on the uncertainty quantification of medical image segmentation which considers the omnipresence of inter-rater variability in imaging datasets. The large collection of images with multi-rater annotations features various modalities such as MRI and CT; various organs such as the brain, prostate, kidney, and pancreas; and different image dimensions 2D-vs-3D. A total of 24 teams submitted different solutions to the problem, combining various baseline models, Bayesian neural networks, and ensemble model techniques. The obtained results indicate the importance of the ensemble models, as well as the need for further research to develop efficient 3D methods for uncertainty quantification methods in 3D segmentation tasks.
Comment: initial technical report

الوصول الحر: http://arxiv.org/abs/2405.18435Test

المؤلفون: ZHANG LiQiang, YU Shuang, HU Shuai, ZHANG Song

المصدر: Jixie qiangdu, Vol 42, Pp 863-868 (2020)

مصطلحات موضوعية: Complex stiffness method, TPA model, Transfer path contribution, Dynamic stiffness, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492

الوصف: In order to study the jitter problem of the left rear door of a certain SUV on the washboard road with speed of（12 ～ 15） km/h,a transfer path analysis（TPA） model is established by combining the working load test with the transfer function simulation. Based on the complex stiffness method,the dynamic load of the connecting point between the chassis and the car body is obtained. At the same time,the transfer function of the left rear door of the Trimmed Body（TB） model is obtained by the CAE method. The contribution of each transfer path to the target point is calculated. The reliability of the TPA model is verified by compared the combined value of each transfer path with the experimental value. According to the contribution of each path,it is found that the left connection between the lateral stabilizer rod and the car body is the main transfer path. Then,the dynamic stiffness of the connection of the transfer path is optimized to reduce vibration transmission ratio. The result shows that the peak value of the jitter acceleration is reduced from 8017 to 4236（mm/s~2）.

وصف الملف: electronic resource

العلاقة: http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.04.016Test; https://doaj.org/toc/1001-9669Test

الوصول الحر: https://doaj.org/article/8ea39020f7a8455488d7da73b00c165cTest

المؤلفون: Mi, Junjian, Li, Jialin, Li, Miaocong, Xu, Sheng, Yu, Shuang, Li, Zheng, Fan, Xinyi, Zhu, Huanfeng, Tao, Qian, Li, Linjun, Xu, Zhuan

مصطلحات موضوعية: Condensed Matter - Materials Science

الوصف: The topology between Bloch states in reciprocal space has attracted tremendous attention in recent years. The quantum geometry of the band structure is composed of quantum metric as real part and berry curvature as imaginary part. While the Berry curvature, the Berry curvature dipole and Berry connection polarizability have been recently revealed by the first order anomalous hall, second order and third order nonlinear Hall effect respectively, the quantum metric induced second order nonlinear transverse and longitudinal response in topological antiferromagnetic material MnBi2Te4 was only very recently reported. Here we demonstrate the similar third order nonlinear transport properties in the topological antiferromagnetic CoNb3S6. We observed that the third order nonlinear longitudinal V3{\omega} xx increase significantly at the antiferromagnetic transition temperature TN ~ 29 K, which was probably induced by the quantum metric without time-reversal symmetry or inversion symmetry. Besides, temperature-dependent nonlinear behaviour was observed in the first order I-V curve below the Neel temperature TN, which was not reported in MnBi2Te4 and FeSn. Such nonlinear I-V behaviour hints for the possible existence of Charge Density Wave (CDW) state, which has been discovered in its sister material FeNb3S6. Simultaneously, two plateaus in the third order nonlinear longitudinal V3{\omega} xx~ I^{\omega} curve are observed, which is also speculated to be related with the possible CDW state. However, the genuine mechanism for the first order nonlinear I-V and its relation with the third order nonlinear transport call for more experimental investigations and theoretical interpretation. Our work provides a way to explore third harmonic nonlinear transport and interaction with magnetic order and CDW.
Comment: 16pages,4figures

الوصول الحر: http://arxiv.org/abs/2312.05824Test

المؤلفون: Shiri, Fatemeh, Wang, Teresa, Pan, Shirui, Chang, Xiaojun, Li, Yuan-Fang, Haffari, Reza, Nguyen, Van, Yu, Shuang

مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Computation and Language

الوصف: International maritime crime is becoming increasingly sophisticated, often associated with wider criminal networks. Detecting maritime threats by means of fusing data purely related to physical movement (i.e., those generated by physical sensors, or hard data) is not sufficient. This has led to research and development efforts aimed at combining hard data with other types of data (especially human-generated or soft data). Existing work often assumes that input soft data is available in a structured format, or is focused on extracting certain relevant entities or concepts to accompany or annotate hard data. Much less attention has been given to extracting the rich knowledge about the situations of interest implicitly embedded in the large amount of soft data existing in unstructured formats (such as intelligence reports and news articles). In order to exploit the potentially useful and rich information from such sources, it is necessary to extract not only the relevant entities and concepts but also their semantic relations, together with the uncertainty associated with the extracted knowledge (i.e., in the form of probabilistic knowledge graphs). This will increase the accuracy of and confidence in, the extracted knowledge and facilitate subsequent reasoning and learning. To this end, we propose Maritime DeepDive, an initial prototype for the automated construction of probabilistic knowledge graphs from natural language data for the maritime domain. In this paper, we report on the current implementation of Maritime DeepDive, together with preliminary results on extracting probabilistic events from maritime piracy incidents. This pipeline was evaluated on a manually crafted gold standard, yielding promising results.

الوصول الحر: http://arxiv.org/abs/2305.02471Test

المؤلفون: Zhao, Ya-Hui, Jiang, Wei, Gao, Hai, Pang, Guo-Zheng, Wu, Yu-Shuang, Wang, Yuan-Xian, Sheng, Meng-Yao, Xie, Jia-Ying, Wu, Wan-Ling, Ji, Zhi-Jian, Du, Ya-Rui, Zhang, Lei, Wang, Xiao-Qin, Walsh, Colum P., Jiang, Hai, Xu, Guo-Liang, Zhou, Dan

المصدر: Protein & Cell. 14(7):534-539

وصف الملف: electronic

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-508898Test
https://doi.org/10.1093/procel/pwac028Test
https://uu.diva-portal.org/smash/get/diva2:1786946/FULLTEXT02.pdfTest

المؤلفون: Bian, Cheng, Yuan, Chenglang, Ma, Kai, Yu, Shuang, Wei, Dong, Zheng, Yefeng

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

الوصف: Due to the lack of properly annotated medical data, exploring the generalization capability of the deep model is becoming a public concern. Zero-shot learning (ZSL) has emerged in recent years to equip the deep model with the ability to recognize unseen classes. However, existing studies mainly focus on natural images, which utilize linguistic models to extract auxiliary information for ZSL. It is impractical to apply the natural image ZSL solutions directly to medical images, since the medical terminology is very domain-specific, and it is not easy to acquire linguistic models for the medical terminology. In this work, we propose a new paradigm of ZSL specifically for medical images utilizing cross-modality information. We make three main contributions with the proposed paradigm. First, we extract the prior knowledge about the segmentation targets, called relation prototypes, from the prior model and then propose a cross-modality adaptation module to inherit the prototypes to the zero-shot model. Second, we propose a relation prototype awareness module to make the zero-shot model aware of information contained in the prototypes. Last but not least, we develop an inheritance attention module to recalibrate the relation prototypes to enhance the inheritance process. The proposed framework is evaluated on two public cross-modality datasets including a cardiac dataset and an abdominal dataset. Extensive experiments show that the proposed framework significantly outperforms the state of the arts.
Comment: IEEE TMI

الوصول الحر: http://arxiv.org/abs/2203.10332Test

المؤلفون: Fang, Huihui, Li, Fei, Wu, Junde, Fu, Huazhu, Sun, Xu, Son, Jaemin, Yu, Shuang, Zhang, Menglu, Yuan, Chenglang, Bian, Cheng, Lei, Baiying, Zhao, Benjian, Xu, Xinxing, Li, Shaohua, Fumero, Francisco, Sigut, José, Almubarak, Haidar, Bazi, Yakoub, Guo, Yuanhao, Zhou, Yating, Baid, Ujjwal, Innani, Shubham, Guo, Tianjiao, Yang, Jie, Orlando, José Ignacio, Bogunović, Hrvoje, Zhang, Xiulan, Xu, Yanwu

مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

الوصف: With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving. Although there are some open-source, labeled datasets of CFPs in the ophthalmology community, large-scale datasets for screening only have labels of disease categories, and datasets with annotations of fundus structures are usually small in size. In addition, labeling standards are not uniform across datasets, and there is no clear information on the acquisition device. Here we release a multi-annotation, multi-quality, and multi-device color fundus image dataset for glaucoma analysis on an original challenge -- Retinal Fundus Glaucoma Challenge 2nd Edition (REFUGE2). The REFUGE2 dataset contains 2000 color fundus images with annotations of glaucoma classification, optic disc/cup segmentation, as well as fovea localization. Meanwhile, the REFUGE2 challenge sets three sub-tasks of automatic glaucoma diagnosis and fundus structure analysis and provides an online evaluation framework. Based on the characteristics of multi-device and multi-quality data, some methods with strong generalizations are provided in the challenge to make the predictions more robust. This shows that REFUGE2 brings attention to the characteristics of real-world multi-domain data, bridging the gap between scientific research and clinical application.
Comment: 29 pages, 21 figures

الوصول الحر: http://arxiv.org/abs/2202.08994Test