A machine learning approach to identifying key predictors of Peruvian school principals' job satisfaction by Luis Alberto Holgado-Apaza, Dany Dorian Isuiza-Perez, Nelly Jacqueline Ulloa-Gallardo, Yban Vilchez-Navarro, Ruth Nataly Aragon-Navarrete, Wilian Quispe Layme, Marleny Quispe-Layme, Danger David Castellon-Apaza, Remo Choquejahua-Acero, Jaime Cesar Prieto-Luna

“…When using Generative Adversarial Networks to balance only the training set, better results were obtained in recall (0.74), precision (0.72), and F1 score (0.70). …”
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Causal relationships and predictability of the summer East Atlantic teleconnection by J. Carvalho-Oliveira, J. Carvalho-Oliveira, J. Carvalho-Oliveira, J. Carvalho-Oliveira, G. Di Capua, G. Di Capua, L. F. Borchert, R. V. Donner, R. V. Donner, J. Baehr

“…<p>We apply causal effect networks to evaluate the influence of spring North Atlantic extratropical sea surface temperatures (NA-SSTs) on the summer East Atlantic (EA) pattern seasonal predictability during the period of 1908–2008. …”
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Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

“…The proposed method introduces four key innovations to enhance detection accuracy and model efficiency: (1) A novel Conv2Former (Convolutional Transformer) backbone was designed to combine the local pattern extraction capability of convolutional neural networks (CNNs) with the global contextual reasoning of transformers, thereby improving the expressiveness of feature representation. (2) The CARAFE (Content-Aware ReAssembly of Features) upsampling operator was adopted to replace conventional interpolation methods, thereby enhancing the spatial resolution and semantic richness of feature maps. (3) An Efficient Multi-scale Attention (EMA) module was introduced to refine multi-scale feature fusion, enabling the model to better focus on spatially relevant features critical for WBC classification. (4) Soft-NMS (Soft Non-Maximum Suppression) was used instead of traditional NMS to better preserve true positives in densely packed or overlapping cell scenarios, thereby reducing false positives and false negatives. …”
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Key events in the process of sex determination and differentiation in early chicken embryos by Xiaoqian Lv, Changhua Sun, Xin Liu, Guanzheng Liu, Wei Gong, Hongwu Qian, Zeyu Li, Jun Wu, Xilin Zhu, Jiuzhou Song, Yingjie Niu, Hongyan Sun, Wei Han, Guo hong Chen, Kai Jin, Bichun Li, Qisheng Zuo

“…These findings advance understanding of vertebrate developmental biology and provide a framework for dissecting regulatory networks in avian sexual development.…”
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