Longitudinal development of career adaptability in pre-service teachers: the impact of internship experiences and emotion regulation strategies by Huimei Wang, Qianqian Ruan, Xian Liu, Hongyu Long, Zhaolong Guo, Yan Wang, Dongliang Ma

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Czy można przewidzieć WOJNĘ i KRYZYS na podstawie danych językowych? Wstępna propozycja procedury lingwometrycznej by Michał Szczyszek

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Determination of Heating Value of Estonian Oil Shale by Laser-Induced Breakdown Spectroscopy by M. Aints, P. Paris, M. Laan, K. Piip, H. Riisalu, I. Tufail

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The association between monocyte-to-high-density lipoprotein cholesterol ratio and type 2 diabetes mellitus: a cross-sectional study by Honghai Yu, Cunqing Yang, Cunqing Yang, Jiao Lv, Yunyun Zhao, Guoqiang Wang, Xiuge Wang

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Tether Force Estimation Airborne Kite Using Machine Learning Methods by Akarsh Gupta, Yashwant Kashyap, Panagiotis Kosmopoulos

“…Through a series of controlled field experiments and the application of classical machine learning techniques, we achieved significant improvements in tether force estimation. Our XGBoost model, for example, demonstrated a notable reduction in error in predicting the tether force that can be extracted at a particular location, with a root mean square error of 52.3 Newtons and a mean absolute error of 32.1 Newtons, coupled with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> error, which measures the proportion of variance explained by the model, achieved an impressive value of 0.93. …”
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Masked pre-training of transformers for histology image analysis by Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour

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An explainable AI-based blood cell classification using optimized convolutional neural network by Oahidul Islam, Md Assaduzzaman, Md Zahid Hasan

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Rapid Detection of Astaxanthin in Antarctic Krill Meal by Computer Vision Combined with Convolutional Neural Network by Quantong ZHANG, Yao ZHENG, Liu YANG, Shuaishuai ZHANG, Quanyou GUO

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Strain and Dimension Effects on the Threshold Voltage of Nanoscale Fully Depleted Strained-SOI TFETs by Yu-Chen Li, He-Ming Zhang, Shu-lin Liu, Hui-Yong Hu

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Macro-microscopic study on the damage threshold strain of particle-filled polymer composites by Wang Jiaxiang, Qiang Hongfu, Wang Xueren, Wang Zhejun, Li Shiqi

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Research and application of adaptive algorithm for 5G voice quality evaluation by Yuxiang ZHAO, Yaxin JI, Li YU, Tianyi ZHOU, Hang ZHOU

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Simulating ecosystem carbon dioxide fluxes and their associated influencing factors for a restored peatland by H. He, I. B. Strachan, N. T. Roulet

“…After 14 years of restoration, the peatland has a mean <span class="inline-formula">CO₂</span> uptake rate similar to pristine sites but with a much larger interannual variability, and in dry years, the restored peatland can switch back to a temporary <span class="inline-formula">CO₂</span> source. The model predicts a moderate reduction in <span class="inline-formula">CO₂</span> uptake but still a reasonable sink under future climate change conditions if the peatland is ecologically and hydrologically restored. …”
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Portable X-ray fluorescence sensor for ecofriendly, low-cost, and fast assessment of eucalypt charcoal attributes by Renata Andrade, Lucas Benedet, Marcelo Mancini, Sérgio Henrique Godinho Silva, Camila da Silva Freitas, Marco Aurélio Carbone Carneiro, Nilton Curi

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Compression properties, processing maps, and microstructure evolution of rapidly solidified ZK60 alloy by Zhenshuai Li, Shuai Bao, Chao Yang, Yungui Chen

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DELTa: Dynamic Energy-and-Latency-Aware Task Scheduling for Fog-Cloud Paradigm by Abhijeet Mahapatra, Rosy Pradhan, Santosh K. Majhi, Kaushik Mishra

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Entrepreneurship as a driver of economic development by Tatia Zarkua, Wim Heijman, Irena Benešová, Mikhail Krivko

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Artificial intelligence framework for lung cancer nodule segmentation and classification using convolutional neural network—from imaging to diagnosis by Ashwin Kumar Azhagarasan, Prashanthi Bhaskaran, Arunkumar Ramachandran, Kalpana Sivalingam

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Targeting Stat3 with conditional knockout or PROTAC technology alleviates renal injury by Limiting pyroptosisResearch in context by Ming-lu Ji, Jia-nan Wang, Ming-fei Wu, Chuan-hui Xu, Meng-meng Zhang, Wen-bao Chang, Xin-fei Mao, Chao Li, Ju-tao Yu, Dan-feng Zhang, Xiao-guo Suo, Shao-xi Diao, Nan-nan Ma, Ying Chen, Rui Hou, Hao Lu, Shuai-shuai Xie, Yu-hang Dong, Qi Zhu, Xin Chen, Tao Xu, Wei Shao, Juan Jin, Jia-gen Wen, Xiao-wu Dong, Wen-bin Wang, Jin-xin Che, Xiao-ming Meng

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Information Assisted Dictionary Learning for fMRI Data Analysis by Manuel Morante, Yannis Kopsinis, Sergios Theodoridis, Athanassios Protopapas

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University as border crossing: Exploring the experiences of health sciences students from low-resourced school communities by Constance Khupe, Nontsikelelo Mapukata

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