An Inverted Transformer Framework for Aviation Trajectory Prediction with Multi-Flight Mode Fusion by Gaoyong Lu, Yang Ou, Wei Li, Xinyu Zeng, Ziyang Zhang, Dongcheng Huang, Igor Kotenko

“…Moreover, the integration of multi-flight data enables the model to learn more comprehensive flight patterns, leading to robust performance across varying flight conditions. …”
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ResST-SEUNet++: Deep Model for Accurate Segmentation of Left Ventricle and Myocardium in Magnetic Resonance Imaging (MRI) Images by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Fahad Mushabbab G. Alotaibi, Reem Ibrahim Alkanhel

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Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios by Hong Shen Wong, Wei Xuan Chan, Bing Huan Li, Choon Hwai Yap

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EgoSep: Egocentric On-Screen Sound Source Separation for Real-Time Edge Computing by Donghyeok Jo, Jun-Hwa Kim, Jihoon Jeon, Chee Sun Won

“…Recent advancements in deep learning have enabled effective audio-visual sound source separation methods. …”
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Short-term results of hip prosthesis with shortening osteotomy in patients with crowe type iv dysplastic coxarthrosis by Omer Polat, Selim Sanel, Mehmet Nurullah Ermis, Can Solakoglu

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Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets by Lechen Yang, Weifeng Shang, Dongjie Chen, Hang Qian, Sheng Zhang, Xiaojun Pan, Sisi Huang, Jiao Liu, Dechang Chen

“…Collectively, these findings suggest that propionic acid metabolism may be a potential target for diagnosing and treating sepsis, offering new insights into its pathophysiology.…”
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A comprehensive investigation of the relationship between dietary fatty acid intake and preserved ratio impaired spirometry: multimethodology based on NHANES by Chenyuan Deng, Yu Jiang, Yuechun Lin, Hengrui Liang, Wei Wang, Jianxing He, Ying Huang

“…Modification of PRISm-related risk factors is a higher priority in public health than treating PRISm itself. Dietary fatty acids (FAs) affect human health through a variety of physiological pathways. …”
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A Data Imputation Strategy to Enhance Online Game Churn Prediction, Considering Non-Login Periods by JaeHong Lee, Pavinee Rerkjirattikal, SangGyu Nam

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Sugar conditioning combined with nectar nonsugar compounds enhances honey bee pollen foraging in a nectarless diocious crop by Facundo Verellen, Florencia Palottini, M. Cecilia Estravis-Barcala, Walter M. Farina

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Development of a sensitive disease-screening model using comprehensive circulating microRNA profiles in dogs: A pilot study by Kohei Omura, Kaori Ide, Masashi Takahashi, Yu Furusawa, Masanori Kobayashi, Yuichi Miyagawa, Aki Fujiwara-Igarashi, Takahiro Teshima, Yoshiaki Kubo, Akiko Yasuda, Karin Yoshida, Noriyuki Hayakawa, Masato Kobayashi, Yasuyuki Momoi

“…The study involved dogs diagnosed with or being treated for various diseases, including tumors, across multiple veterinary clinics (n = 254), and healthy dogs without apparent diseases (n = 91). miRNA was extracted from EDTA-treated plasma, and a comprehensive analysis was conducted of one million reads per sample using NGS. …”
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Predicting gene expression changes upon epigenomic drug treatment [version 3; peer review: 4 approved, 2 not approved] by Monjura Afrin Rumi, Vishaka Gopalan, Sridhar Hannenhalli, Piyush Agrawal

“…Methods Given the pre-treatment transcriptome and epigenomic profile of a sample, we assessed the extent of predictability of locus-specific changes in gene expression upon treatment with HDACi using machine learning. Results We found that in two cell lines (HCT116 treated with Largazole at eight doses and RH4 treated with Entinostat at 1µM) where the appropriate data (pre-treatment transcriptome and epigenome as well as post-treatment transcriptome) is available, our model distinguished the post-treatment up versus downregulated genes with high accuracy (up to ROC of 0.89). …”
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Serum microRNAs as peripheral markers of primary aldosteronism by Nikita Makhnov, Nikita Makhnov, Nikita Makhnov, Fredrik Axling, Elham Barazeghi, Peter Stålberg, Tobias Åkerström, Tobias Åkerström, Per Hellman, Per Hellman

“…Lateralized, or unilateral PA (uPA), is best treated by surgery. Bilateral PA (bPA) is treated medically.AimThe aim of our study was to explore microRNA (miRNA) in peripheral blood as markers of PA, uPA and bPA.MethodsIn groups of subjects with primary hypertension (HT, n = 11), bPA (n = 12), and uPA (n = 16), peripheral serum was used for isolation of total RNA, library preparation, and NGS sequencing to achieve a comparative analysis of miRNA expression. …”
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Textes littéraires et interculturalité en classe de FLE : enjeux et approches didactiques by Fatah Abdelouhab

“…That said, there is concern about the learning objectives allocated to this pedagogical use of the literature.Our proposal holds strategies of the intercultural and anthropological approach that considers the literary text as a bridge in the relationship with others. …”
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Identification of a Novel Subtype of Ocular Hypertensive Eyes with the Lowest Risk of Progression Under Treatment by Asma Poursoroush, Vida Abedi, Xiaoqin Huang, Jiang Li, Alireza Vafaei Sadr, Amy L. de Jongh Curry, Louis R. Pasquale, Michael V. Boland, Chris A. Johnson, Siamak Yousefi

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The importance of situation-specific encodings: analysis of a simple connectionist model of letter transposition effects by Shin-Yi Fang, Garrett Smith, Whitney Tabor

“…Analysis of the hidden unit encodings provides insight into two central issues in cognitive science: (1) What is the novelty of claims of “modality-specific” encodings? and (2) How can a learning system establish a complex internal structure needed to solve a problem? …”
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Review of Josh Simons’ Book "Algorithms for the People – Democracy in the Age of AI" by Thomas Klikauer

“… Increasingly, artificial intelligence, algorithms and machine learning models guide what Internet users see and read on their screens. …”
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Predicting antigen specificity of single T cells based on TCR CDR3 regions by David S Fischer, Yihan Wu, Benjamin Schubert, Fabian J Theis

“…Leveraging this new type of data, we propose and benchmark a collection of deep learning architectures to model T‐cell specificity in single cells. …”
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What education?Social and civic attitudes in the core curricula of general education by Hanna Solarczyk-Szwec

“…This document was treated as an interpretation of the assumptions of the state about what kind of person should be formed by the Polish school. …”
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Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification by Ping Li, Xiang Zhu

“…Recently, local feature-based few-shot learning methods have made significant progress. However, existing methods often treat all local descriptors equally, without considering the importance of each local descriptor in different tasks. …”
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Effect of zerumbone on scopolamine‐induced memory impairment and anxiety‐like behaviours in rats by Sahba Jafarian, King‐Hwa Ling, Zurina Hassan, Lua Perimal‐Lewis, Mohd Roslan Sulaiman, Enoch Kumar Perimal

“…Discussion Our findings demonstrated that the scopolamine‐induced impairment of learning and memory was reversed by the administration of zerumbone. …”
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