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  1. 19221

    Technological Education and Engineering Pedagogy by D. P. Danilaev, N. N. Malivanov

    Published 2020-04-01
    “…Technological education, being a part of the school curriculum, is presented as a factor and a means of students’ socialisation and as “a process and a result of active learning by schoolchildren the general and professional technological culture, general and special ways of technological transformation of reality, and the development of technological competency and creative abilities of a person” 1 . …”
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  2. 19222

    Relationship between academic climate and burnout in Spanish medical schools by Montse Esquerda, Joaquín Garcia-Estañ, Albert Ruiz-Rosales, J. Miguel Garcia-Abajo, Jesus Millan

    Published 2024-11-01
    “…Introduction-aim: Several studies show a high prevalence of burnout among medical students, with the learning environment being suggested as one of the potential contributing factors. …”
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  3. 19223

    An optoelectrochemical synapse based on a single-component n-type mixed conductor by Yazhou Wang, Wentao Shan, Hanrui Li, Yizhou Zhong, Shofarul Wustoni, Johana Uribe, Tianrui Chang, Valentina E. Musteata, Tania Cecilia Hidalgo Castillo, Wan Yue, Haifeng Ling, Nazek El‐Atab, Sahika Inal

    Published 2025-02-01
    “…The resulting transistor active-matrix array is capable of adaptive sensing, memory, and pre-processing of visual information, demonstrating an efficient optoelectronic neuromorphic system with multi-task learning capability.…”
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  4. 19224

    Comparison of Orchid Conservation Between China and Other Countries by Shixing Li, Cuiyi Liang, Shuwen Deng, Chen Chen, Liangchen Yuan, Zhen Liu, Shasha Wu, Siren Lan, Ziang Tang, Zhongjian Liu, Junwen Zhai

    Published 2024-11-01
    “…We amassed 370 non-governmental organizations (NGOs) for orchid conservation. At present, the total number of policies and regulations for orchid protection in China is approximately 84, with 67 issued since 2000. …”
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  5. 19225

    Starrydata: from published plots to shared materials data by Yukari Katsura, Masaya Kumagai, Tomoya Mato, Yu Takada, Yuki Ando, Erina Fujita, Fumikazu Hosono, Eiji Koyama, Farhan Mudasar, Ton Nu Thanh Phuong, Naoto Saito, Yoshihiro Sakamoto, Atsumi Tanaka, Dewi Yana, Kaoru Kimura, Koji Tsuda, Masahiko Demura

    Published 2025-12-01
    “…Finally, we report on how the collected datasets are being utilized in data-driven materials research through machine learning, modelling and simulation.…”
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  6. 19226

    Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response by Cong Tang, Patrícia Corredeira, Sandra Casimiro, Qi Shi, Qiwei Han, Wesley Sukdao, Ana Cavaco, Cecília Melo-Alvim, Carolina Ochôa Matos, Catarina Abreu, Steven Walsh, Gonçalo Nogueira-Costa, Leonor Ribeiro, Rita Sousa, Ana Lorena Barradas, João Eurico Fonseca, Luís Costa, Emma V. Yates, Gonçalo J. L. Bernardes

    Published 2025-07-01
    “…Abstract The immune response to tumour development is frequently targeted with therapeutics but remains largely unexplored in diagnostics, despite being stronger for early-stage tumours. We present an immunodiagnostic platform to detect this. …”
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  7. 19227
  8. 19228

    Center of Mass Auto-Location in Space by Lucas McLeland, Brian Erickson, Brendan Ruchlin, Eryn Daman, James Mejia, Benjamin Ho, Joshua Lewis, Bryan Mann, Connor Paw, James Ross, Christopher Reis, Scott Walter, Stefanie Coward, Thomas Post, Andrew Freeborn, Timothy Sands

    Published 2025-06-01
    “…Typically, the inertia matrix is estimated and verified with preliminary ground testing. This article presents groundbreaking preliminary results and significant findings from on-orbit space experiments validating recently proposed methods as part of a larger study over multiple years. …”
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  9. 19229

    Characterizing Breast Tumor Heterogeneity Through IVIM-DWI Parameters and Signal Decay Analysis by Si-Wa Chan, Chun-An Lin, Yen-Chieh Ouyang, Guan-Yuan Chen, Chein-I Chang, Chin-Yao Lin, Chih-Chiang Hung, Chih-Yean Lum, Kuo-Chung Wang, Ming-Cheng Liu

    Published 2025-06-01
    “…<b>Background/Objectives:</b> This research presents a novel analytical method for breast tumor characterization and tissue classification by leveraging intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) combined with hyperspectral imaging techniques and deep learning. …”
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  10. 19230

    Bayesian optimization of radical polymerization reactions in a flow synthesis system by Shogo Takasuka, Sho Ito, Shunto Oikawa, Yosuke Harashima, Tomoaki Takayama, Aniruddha Nag, Araki Wakiuchi, Tsuyoshi Ando, Tetsunori Sugawara, Miho Hatanaka, Tomoyuki Miyao, Takamitsu Matsubara, Yu-Ya Ohnishi, Hiroharu Ajiro, Mikiya Fujii

    Published 2024-12-01
    “…The proposed model confirms that specific monomer proportions can be produced in a copolymer using machine learning while investigating the reaction mechanism. …”
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  11. 19231

    Metabolomic alterations in the plasma of patients with various clinical manifestations of COVID-19 by Qi Xin, Xiao Liang, Jin Yang, Xiaorui Wang, Fang Hu, Meng Jiang, Yijia Liu, Jin Gong, Yiwen Pan, Lijuan Liu, Jiao Xu, Yuxin Cui, Hongyu Qin, Han Bai, Yixin Li, Junpeng Ma, Chengsheng Zhang, Bingyin Shi

    Published 2024-10-01
    “…By examining differential expression, we identified candidate metabolites associated with different SARS-CoV-2 infection presentations. Functional and machine learning analyses were performed to explore the metabolites’ functions and verify their candidacy as biomarkers. …”
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  12. 19232

    The Role of Kidney Biopsy in Fabry Disease by Irene Capelli, Laura Martano, Gian Marco Berti, Gisella Vischini, Sarah Lerario, Vincenzo Donadio, Alex Incensi, Valeria Aiello, Francesca Ciurli, Benedetta Fabbrizio, Stefano Chilotti, Renzo Mignani, Gianandrea Pasquinelli, Gaetano La Manna

    Published 2025-03-01
    “…Emerging technologies, including machine learning, offer the potential to enhance the analysis of renal histology, improving diagnostic accuracy and patient stratification. …”
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  13. 19233
  14. 19234

    Canopy height and biomass distribution across the forests of Iberian Peninsula by Yang Su, Martin Schwartz, Ibrahim Fayad, Mariano García, Miguel A. Zavala, Julián Tijerín-Triviño, Julen Astigarraga, Verónica Cruz-Alonso, Siyu Liu, Xianglin Zhang, Songchao Chen, François Ritter, Nikola Besic, Alexandre d’Aspremont, Philippe Ciais

    Published 2025-04-01
    “…Abstract Accurate mapping of vegetation canopy height and biomass distribution is essential for effective forest monitoring, climate change mitigation, and sustainable forestry. Here we present high-resolution remote sensing-based canopy height (10 m resolution) and above ground biomass (AGB, 50 m resolution) maps for the forests of the Iberian Peninsula from 2017 to 2021, using a deep learning framework that integrates Sentinel-1, Sentinel-2, and LiDAR data. …”
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  15. 19235

    Biological contingency and adaptation to celibacy among girls aged 35 and over in Yazd city by Ahmad Kalateh Sadati, Fatemeh Jafari Naeimi, Sara Sadeghieh, Zahra Sadeghian Moghadam

    Published 2024-12-01
    “…(In Persian) Goffman, E. (2012). The Presentation of Self in Everyday Life. Translated by Masoud Kianpour. …”
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  16. 19236

    The Quasar-associated 2175 Å Dust Absorbers in the SDSS DR16 Quasar Catalog by Shaohua Zhang, Yuchong Luo, Shangchun Xie, Chao Gao, Zhijian Luo, Chenggang Shu, Hubing Xiao

    Published 2025-01-01
    “…We present, for the first time, a systematic study of quasar-associated 2175 Å dust absorbers using spectroscopic data from the Sloan Digital Sky Survey Data Release 16 (DR16). …”
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  17. 19237
  18. 19238

    A multi-modal multi-branch framework for retinal vessel segmentation using ultra-widefield fundus photographs by Qihang Xie, Qihang Xie, Xuefei Li, Yuanyuan Li, Yuanyuan Li, Jiayi Lu, Jiayi Lu, Shaodong Ma, Yitian Zhao, Yitian Zhao, Jiong Zhang, Jiong Zhang

    Published 2025-01-01
    “…However, the high resolution and low contrast inherent to UWF fundus images present significant challenges for accurate segmentation using deep learning methods, thereby complicating disease analysis in this context.MethodsTo address these issues, this study introduces M3B-Net, a novel multi-modal, multi-branch framework that leverages fundus fluorescence angiography (FFA) images to improve retinal vessel segmentation in UWF fundus images. …”
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  19. 19239
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