Preceptoria em enfermagem: desafios e estratégias para fortalecer a integração ensino-gestão-atenção-controle social by Josué Souza Gleriano, Carlise Krein, Juliana Benevenuto Reis, Fabiana Aparecida da Silva, Pedro Henrique de Oliveira Marques Vidal, Lucieli Dias Pedreschi Chaves

“…Dados coletados em dois encontros audiogravados; foram utilizadas como estratégia as fases do ciclo 4D: Descoberta, Sonho, Planejamento e Destino. …”
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Automatic etiological classification of stroke thrombus digital photographs using a deep learning model by Álvaro Lucero-Garófano, Álvaro Lucero-Garófano, Alicia Aliena-Valero, Isabel Vielba-Gómez, Isabel Vielba-Gómez, Irene Escudero-Martínez, Irene Escudero-Martínez, Lluís Morales-Caba, Lluís Morales-Caba, Fernando Aparici-Robles, Fernando Aparici-Robles, Diana L. Tarruella Hernández, Diana L. Tarruella Hernández, Gerardo Fortea, Gerardo Fortea, José I. Tembl, José I. Tembl, Juan B. Salom, Juan B. Salom, José V. Manjón

“…We aimed to develop a Deep Learning (DL)-based model for automatic etiological classification of ischemic stroke using digital images of thrombi retrieved by mechanical thrombectomy.MethodsPatients with large vessel occlusion stroke subjected to mechanical thrombectomy between April 2016 and January 2023 at La Fe University and Polytechnic Hospital in Valencia were included. …”
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The Exocyst Subunits EqSec5 and EqSec6 Promote Powdery Mildew Fungus Growth and Pathogenicity by Jinyao Yin, Xuehuan Zhu, Yalong Chen, Yanyang Lv, Jiaxin Shan, Yuhan Liu, Wenbo Liu, Weiguo Miao, Xiao Li

“…To verify the functions of the exocyst in powdery mildew fungus, we identified two exocyst subunits, EqSec5 and EqSec6, from <i>Erysiphe quercicola</i>, a powdery mildew fungus that infects the rubber tree <i>Hevea brasiliensis</i>. …”
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PCCN: Polarimetric Contexture Convolutional Network for PolSAR Image Super-Resolution by Lin-Yu Dai, Ming-Dian Li, Si-Wei Chen

“…The proposed method can provide better super-resolution PolSAR images from both polarimetric and spatial viewpoints.…”
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Multi-Level Feature Dynamic Fusion Neural Radiance Fields for Audio-Driven Talking Head Generation by Wenchao Song, Qiong Liu, Yanchao Liu, Pengzhou Zhang, Juan Cao

“…We initially developed a multi-level tri-plane hash representation that uses three sets of tri-plane hash networks with varying resolutions of limitation to capture the dynamic information of the face more accurately. …”
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<inline-formula><tex-math notation="LaTeX">$\mathrm{D}^{3}$</tex-math></inline-formula>T: Deep Denoising Dictionary Tensor for Hyperspectral Anomaly Detection by Qiangqiang Shen, Zonglin Liu, Hanzhang Wang, Yanhui Xu, Yongyong Chen, Yongsheng Liang

“…Hyperspectral anomaly detection (HAD) approaches with tensor low-rank representation (TLRR) have shown engaging performance, which are capable of capturing abundant spectral and spatial information and, hence, extracting sparse anomalies from the low-rank background without ruining the intrinsic geometric structures of tensor data. …”
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Ultra robust negative differential resistance memristor for hardware neuron circuit implementation by Yifei Pei, Biao Yang, Xumeng Zhang, Hui He, Yong Sun, Jianhui Zhao, Pei Chen, Zhanfeng Wang, Niefeng Sun, Shixiong Liang, Guodong Gu, Qi Liu, Shushen Li, Xiaobing Yan

“…Moreover, we have successfully constructed Fitz Hugh Nagumo (FN) neuron circuit, reduced hardware costs of FN neuron circuit and enabling diverse neuron dynamics and nine neuron functions. Meanwhile, based on the high temperature stability of the device, a voltage-temperature fused multimodal impulse neural network was constructed to achieve 91.74% accuracy in classifying digital images with different temperature labels. …”
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Development of chimeric Nanobody-Granzyme B functionalized ferritin nanoparticles for precise tumor therapy by Baijin Xia, Huolun Feng, Xinmiao Jiang, Jialing Guo, Keming Lin, Wenxing Zhang, Fan Xing, Lixue Cao, Yong Li, Hui Zhang, Xu Zhang, Wenyu Li, Fei Yu

“…We fused nanobody (Nb) targeting CD30 and CD5 with GrB and coupled them to human ferritin (h-HFn) using the Gv/Sd system, creating a novel therapeutic nanoparticle named BiCD30/5-GF, which specifically targets CD30 and CD5 receptors on TCL tumor cells. …”
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Nonlinear Structural Fusion for Multiplex Network by Nianwen Ning, Feiyu Long, Chunchun Wang, Youjie Zhang, Yilin Yang, Bin Wu

“…Then, we construct a node similarity network based on embedding matrices and K-D tree algorithm. (2) In NSF, we present a nonlinear enhanced iterative fusion (EIF) strategy. …”
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Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

“…The main goals of this research are to identify the significant input parameters using supervised machine learning methods and investigate the relationship between the process, structure, and properties of components created using fused deposition modeling utilizing nylon aramid composite filaments. …”
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Development of a Sensitive Chemiluminescence Immunoassay for the Quantification of Folic Acid in Human Serum by Xiang Chen, Qiyang Zhou, Ting Zhang, ChunXin Wang, Zheng Yu, Hadji Ahamada, Zhonghu Bai, Xuan Huang

“…Alkaline condition and tris(2-carboxyethyl)phosphine (TCEP) are used to release binding FA to freeing state. In this work, a chemiluminescence immunoassay (CLIA) for human serum FA was established by competition model. …”
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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

“…Firstly, we design a loss function that deliveries the physical relationship among temperature, salinity and density by fusing the Thermodynamic Equation. …”
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Evaluation of CBCT reconstructed tooth models at different thresholds and voxels and their accuracy in fusion with IOS data: an in vitro validation study by Yusong Zhang, Yixin Liu, Tianqi Liu, Jiahao Zhang, Peiying Lin, Dongxu Liu

“…Methods Thirty-two isolated teeth were digitized using IOS and CBCT at two voxel sizes and five threshold settings. …”
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Avaliação de programa de atividade física para escolares: desenvolvimento e validação de instrumento by Jaqueline Aragoni Silva, Valter Cordeiro Barbosa Filho, Danielle Biazzi Leal, Camila Fabiana Rossi Squarcini, Kelly Samara da Silva

“…Foi conduzido um estudo metodológico realizado durante os meses de julho a dezembro de 2016, vinculado ao programa de intervenção intitulado de “Movimente”. …”
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Coactivation of Tie2 and Wnt signaling using an antibody–R-spondin fusion potentiates therapeutic angiogenesis and vessel stabilization in hindlimb ischemia by Byungtae Hwang, Min-Young Jeon, Ju-Hong Jang, Young-Lai Cho, Dong Gwang Lee, Jeong-Ki Min, Jangwook Lee, Jong-Gil Park, Ji-Hun Noh, Wonjun Yang, Nam-Kyung Lee

“…We generated a bifunctional T11–RF12 by fusing T11 with the Furin-1 and −2 domains of RSPO3. …”
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Mapping of Minimal Motifs of B-Cell Epitopes on Human Zona Pellucida Glycoprotein-3 by Wan-Xiang Xu, Ya-Ping He, Jian Wang, Hai-Ping Tang, Hui-Juan Shi, Xiao-Xi Sun, Chao-Neng Ji, Shao-Hua Gu, Yi Xie

“…In this direction, it is imperative to map minimal motifs of the B cell epitopes (BCEs) so as to avoid ZP-specific oophoritogenic T cell epitopes (TCEs) in the ZP3-based immunogens. In this study, based on known results of mapping marmoset and bonnet monkey ZP3 (mstZP3 and bmZP3), two predictable epitopes23–30  and  301–320 on hZP3 were first confirmed and five minimal motifs within four epitopes on hZP3 were defined using serum to recombinant hZP3a22–176 or hZP3b177–348 as well as a biosynthetic peptide strategy. …”
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A Structurally Flexible Occupancy Network for 3-D Target Reconstruction Using 2-D SAR Images by Lingjuan Yu, Jianlong Liu, Miaomiao Liang, Xiangchun Yu, Xiaochun Xie, Hui Bi, Wen Hong

“…The basic network is trained in the first stage using one azimuthal SAR image as the input. …”
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Post COVID glaucoma service redesign utilising electronic patient triage and community optometry clinics (Fife, Scotland 2020—2022) by Niharika Nalagatla, Shameela Parveen, Kelvin KW Cheng, Caroline Styles, Andrew Blaikie, Peter Wilson, Bhavani Karri, David J Chinn, Roshini Sanders, Glaucoma Team, Lisa Wong, Alan Ramsay, Steven Halstead, Michelle Boulton, David Cummins, Colin Ferrier, Gavin Galloway, Elizabeth Embrey, Duncan Preston

“…Methods 2276 patients in glaucoma clinics were identified and triaged to three levels in keeping with Glauc-strat-fast guidance with local amendments. Every patient detail was entered into a bespoke glaucoma database to include demographics, clinical findings and social deprivation scores. …”
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Deep Ensemble Learning for Human Action Recognition in Still Images by Xiangchun Yu, Zhe Zhang, Lei Wu, Wei Pang, Hechang Chen, Zhezhou Yu, Bin Li

“…Subsequently, in order to further exploit the advantage of the nonsequential topology, we propose an end-to-end deep ensemble learning based on the weight optimization (DELWO) model. It contributes to fusing the deep information derived from multiple models automatically from the data. …”
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Characterizing PM2.5 Secondary Aerosols via a Fusion Strategy of Two-stage Positive Matrix Factorization and Robust Regression by Chun-Sheng Huang, Ho-Tang Liao, Chia-Yang Chen, Li-Hao Young, Ta-Chih Hsiao, Tsung-I Chou, Jyun-Min Chang, Kuan-Lin Lai, Chang-Fu Wu

“…An improved PMF model was utilized to resolve the multiple time resolution data of 3-h online and 24-h offline measurements of PM2.5 compositions. Retrieved factors from PMF were averaged over 24-h intervals and then applied in robust regression analysis to re-apportion the contributions. …”
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