Effect of a Sugar-Free Branched Chain Amino Acid-Containing Sports Drink on Acute High Intensity Anaerobic Performance by Mojgan Rezvani, Julian Aiken, Ayesha Saleem

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Variance Reduction Optimization Algorithm Based on Random Sampling by GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

“…The stochastic gradient descent (SGD) algorithms have been applied to machine learning and deep learning due to their superior performance. …”
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A deep multiple self-supervised clustering model based on autoencoder networks by Ling Zhu, Zijin Liu, Guangyu Liu

“…Abstract Numerous models for deep clustering have been proposed in recent times, exhibiting remarkable performance in unsupervised learning. However, they often concentrate on the features of the data itself, seldom taking into account the structure and distribution of the data during representation learning. …”
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Engine Mass Flow Estimation through Neural Network Modeling in Semi-Transient Conditions: A New Calibration Approach by T. Savioli, M. Pampanini, G. Visani, L. Esposito, C. A. Rinaldini

“…This work demonstrates that machine learning models can be adopted for the fine-tuning of the calibration process, which is normally performed manually.…”
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Predictive modeling of pediatric drug-induced liver injury: Dynamic classifier selection with clustering analysis by Zixin Shi, Linjun Huang, Haolin Wang

“…The dataset encompassed a wide range of biomedical parameters, including laboratory results and liver function profiles, along with clinical documentation spanning demographic characteristics, medical histories, and medication regimens. …”
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Investigating the Relationship between Images and Text in First Grade Arabic Textbooks Based on the "Warsh and Mite" Classification by Amin Nazari Terizi, Fazllolah Mirghaderi

“…These images have a decorative function and do not have a positive effect on the understanding of educational texts. …”
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ETC-PCR: Coarse-to-Fine Edge-Triangle Compatibility for Robust and Accurate Point Cloud Registration by Mingyuan Zhao, Long Xu

“…Typically, features are first extracted—either through hand-crafted descriptors or deep learning-based methods—to establish a putative correspondence set. …”
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Thermodynamically consistent modeling of granular soils using physics-informed neural networks by Nazanin Irani, Mohammad Salimi, Torsten Wichtmann

“…The model integrates physical laws with data-driven learning via a composite loss function. These include: (i) strictly non-negative material dissipation rate to ensure thermodynamic admissibility, (ii) an admissible range for the predicted stress state, and (iii) bounds on the predicted void ratio. …”
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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…Topology can help uncover and refine the topological properties of these function space transformations, thus finding unchangeable features. …”
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LINGUISTIC AND CULTURAL STUDIES IN CLASSES OF GERMAN by Olena Beresten

“…Linguistic and cultural studies are an integral part of learning a foreign language. Language cannot be studied without learning culture, history, geography, traditions, people’s preferences in food, clothing and their behaviour. …”
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Combining Convolutional Neural Networks for Fungi Classification by Anuruk Prommakhot, Jakkree Srinonchat

“…Deep learning approaches have shown exceptional efficacy in challenges related to the categorization of images. …”
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Heidegger's Interpretation of Aristotle's Phronesis and its Implications in Education by Faramarz Muhammadipouya, Poorya Aeini

“…As the ultimate level of metaphysical thinking, "Geshtel" reduces everything, including humans, to "resources", and the function of learning theories and curriculum is to make these resources more productive in line with economic interests. …”
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An Analysis of YouTube as Sustainable Educational Resources for EFL Learners by Rahmawati Fitria, Pasandalan Sittie Noffaisah, Novitasari Hani

“…YouTube can be a platform to facilitate sustainable English teaching and learning. This study aims to determine the videos that English as a Foreign Language (EFL) learners tend to watch to learn English and their attitude towards using YouTube for a sustainable English Language learning. …”
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Evaluation of a Portable Handheld Heterochromatic Flicker Photometer in Measuring Macular Pigment Optical Density by Pinakin Gunvant Davey, Richard B. Rosen, Joshua J. Park, Frank Spors, Dennis L. Gierhart

“…Additionally, its measurements can be essential in health assessment for visual function, systemic diseases, and brain health. We aimed to assess the repeatability, agreement, and effects of the learning curve of the new portable handheld heterochromatic flicker photometer, Zx Pro, in measuring MPOD in a wide age range of ocular-healthy adults, compared to the MPOD measurements obtained using the clinically available QuantifEye device. …”
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Aerobic exercise improves clearance of amyloid-β via the glymphatic system in a mouse model of Alzheimer's Disease by Shengxiang Liang, Huanhuan Liu, Xiuxiu Wang, Huawei Lin, Ling Zheng, Yusi Zhang, Lixin Peng, Saie Huang, Lidian Chen

“…Swimming training can improve the ability of the glymphatic system to clear Aβ deposition in the hippocampus by up-regulating the transcription levels of Lama1 and Dp71 in the hippocampus, reducing the depolarization distribution of AQP4 in the hippocampus, and enhancing the exchange of CSF-ISF. Thus, improves learning and memory impairment in APP/PS1 mice. Conclusions: Swimming training can rescue the function of the glymphatic system, increase the CSF-ISF exchange, promote the polarization distribution of AQP4, and reduce the deposition of Aβ in the hippocampus, thereby improving the learning and memory ability of APP/PS1 mice.…”
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Cucumber Leaf Segmentation Based on Bilayer Convolutional Network by Tingting Qian, Yangxin Liu, Shenglian Lu, Linyi Li, Xiuguo Zheng, Qingqing Ju, Yiyang Li, Chun Xie, Guo Li

“…Our algorithm outperforms commonly used deep learning algorithms such as Faster R-CNN, Mask R-CNN, YOLOv4 and PANet, showcasing its superior capability in complex agricultural settings. …”
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Self-reports map the landscape of task states derived from brain imaging by Brontë Mckeown, Ian Goodall-Halliwell, Raven Wallace, Louis Chitiz, Bridget Mulholland, Theodoros Karapanagiotidis, Samyogita Hardikar, Will Strawson, Adam Turnbull, Tamara Vanderwal, Nerissa Ho, Hao-Ting Wang, Ting Xu, Michael Milham, Xiuyi Wang, Meichao Zhang, Tirso RJ Gonzalez Alam, Reinder Vos de Wael, Boris Bernhardt, Daniel Margulies, Jeffrey Wammes, Elizabeth Jefferies, Robert Leech, Jonathan Smallwood

“…In our study, 194 participants provided descriptions of their psychological states while performing tasks for which the contribution of different brain systems was available from prior fMRI studies. We used machine learning to combine these reports with descriptions of brain function to form a ‘state-space’ that reliably predicted patterns of brain activity based solely on unseen descriptions of experience (N = 101). …”
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Analysis of ALPS‐Index: Difference in Type 2 Diabetes Mellitus With or Without Mild Cognitive Impairment and Its Relationship With Hippocampal Microstructure by Ziyu Diao, Xuan Huang, Die Shen, Kun Wang, Jiahe Wang, Kui Zhao, Chen Zhao, Zidong Cao, Xin Tan, Shijun Qiu

“…In the general population, partial correlation analysis indicated that the average ALPS‐index correlated with the auditory verbal learning test (AVLT) immediate recall scores. Conclusion In summary, our findings demonstrated that glymphatic system function in the brain progressively deteriorates with worsening cognitive impairment among T2DM patients. …”
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A depth-wise separable VGG19-capsule network for enhanced bell pepper and grape leaf disease classification with ensemble activation by Midhun P Mathew, Sudheep Elayidom, Jagathy Raj V P, Abubeker K M

“…The performance of the plant disease classification model is enhanced by using Leaky ReLU activation functions and GELU, which increase the non-linearity and ensemble learning of the VGG19 model. …”
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Development of a predictive risk model for all-cause mortality in patients with diabetes in Hong Kong by William Ka Kei Wu, Tong Liu, Ian Chi Kei Wong, Qingpeng Zhang, Jiandong Zhou, Sharen Lee, Keith Sai Kit Leung, Kamalan Jeevaratnam, Wing Tak Wong

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