Single-cell pseudotime and intercellular communication analysis reveals heterogeneity and immune microenvironment in oral cancer by Hanjun Liu, Lian Xie, Xuemin Xing, Lili Hou, Jinfeng Zhang, Ling Yang

“…Analysis of gene expression patterns associated individual genes with distinct principal components that described features of cell subtypes or states in the oral cancer microenvironment. …”
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Circulating lipidome underpins gender differences in the pathogenesis of type 2 diabetes by Madhusmita Rout, Oliver Fiehn, Dharambir K. Sanghera

“…Their patterns may underpin gender differences in the pathogenesis of metabolic and cardiovascular diseases.…”
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Genetic diversity of kaffir sorghum accessions from the VIR collection in kafirin-encoding loci by N. V. Alpatieva, I. N. Anisimova, M. K. Ryazanova, V. V. Vasipov, R. A. Abdullaev, O. I. Romanova, E. E. Radchenko

“…Sixteen kaffir sorghum accessions were phenotyped according to morphological features and kafirin electrophoretic banding patterns in their grain, and genotyped using PCR markers specific for kafirin-encoding genes. …”
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Using a deep learning neural network to predict flight path by Oleksandr Bezsonov, Serhii Liashenko, Oleg Rudenko, Sofiia Rutska, Kateryna Vashchenko

“…The training process involved several stages, starting with pre-training on general visual features and then fine-tuning to UAV-specific motion patterns. …”
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Tectonic geomorphological evidence of late Quaternary segmented activity along the northern margin fault of Lajishan by ZHANG Lijun, YUAN Daoyang, LI Hongqiang, SU Qi, SU Ruihuan, CHEN Yanwen, WEN Yameng

“…HI spatial distribution patterns along the North Lajishan fault show multiple high-value zones within piedmont basins. …”
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Home Occupant Archetypes by Marco Antonio ORTIZ SANCHEZ

“…Building upon the aim of this thesis, the following main research question was proposed: How can energy behaviours be studied from a comfort-driven perspective in order to facilitate the development of environmental features that support more efficient occupant behaviours and that provide the comfort needs of the person? …”
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Cellular morphodynamics as quantifiers for functional states of resident tissue macrophages in vivo. by Miriam Schnitzerlein, Eric Greto, Anja Wegner, Anna Möller, Oliver Aust, Oumaima Ben Brahim, David B Blumenthal, Vasily Zaburdaev, Stefan Uderhardt

“…In this study, we employed intravital imaging to generate dynamic data from peritoneal RTMs in mice under various conditions and developed a comprehensive image processing pipeline to quantify RTM morphodynamics over time, defining human-interpretable cell size and shape features. …”
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Targeting Lactate: An Emerging Strategy for Macrophage Regulation in Chronic Inflammation and Cancer by Rong Jiang, Wen-Jing Ren, Li-Ying Wang, Wei Zhang, Zhi-Hong Jiang, Guo-Yuan Zhu

“…The specific polarization patterns of macrophages in a high-lactate environment and their contribution to the progression of chronic inflammation and cancer remain contentious. …”
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

“…Temporal features were identified as crucial for detecting recurring behavioral trends and periodic exercise patterns.DiscussionThese findings demonstrate the efficacy of integrating multimodal life log data with deep learning for accurate physical activity classification. …”
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Classification of maize seed hyperspectral images based on variable-depth convolutional kernels by Yating Hu, Hongchen Zhang, Hongchen Zhang, Changming Li, Qianfu Su, Wei Wang

“…This design enables the network to adaptively extract continuous spectral features by modulating kernel depth, while simultaneously capturing fine-grained textural patterns through hierarchical convolutional operations. …”
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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…Specifically, ML models can extract key information and construct predictive models through feature extraction and pattern recognition using existing data. …”
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Comparison of Non-Water Proof Mascara Adhesion on the Surface of Different Two-week Frequent Replacement Silicone Hydrogel Contact Lenses by Mimura T, Nakagomi R

“…Non-waterproof mascara was randomly applied in a cross-pattern on the SiHySCL surface using the Latin squares method. …”
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Disaster Resilience Evaluation of Mountainous Rural Communities: A Case Study of Representative Villages in the Anning River Basin, Liangshan Prefecture by Wu Yuanfei, Liu Mengying, Tian Bingwei, Tian Renjie, Hu Yifan

“…To enhance the scientific rigor and practical relevance of disaster resilience evaluation in mountainous rural communities, this study developed a multilevel assessment framework based on the Pressure-State-Response (PSR) model by integrating the entropy method and Analytic Hierarchy Process (AHP). …”
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Graphdiyne biomaterials: from characterization to properties and applications by Ling-Xiao Zhao, Yong-Gang Fan, Xue Zhang, Chan Li, Xue-Yan Cheng, Feng Guo, Zhan-You Wang

“…In contrast to other research areas, GDY biomaterials research has led to the development of characterization techniques and methods with specific patterns and some innovations based on the integration of materials science and biology, which are crucial for the biomedical applications of GDY. …”
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Case Report: Coexistence of Rosai-Dorfman disease and B-cell acute lymphoblastic leukemia in an adolescent by Alireza Jenabzadeh, Fariba Binesh, Amir Pasha Amel Shahbaz, Samin Alavi

“…Rosai–Dorfman disease (RDD) is an unusual, non-malignant proliferative disorder involving non-Langerhans cell histiocytes, characterized by a wide range of clinical presentations and distinctive atypical morphological patterns. The concurrent manifestation of acute lymphoblastic leukemia (ALL) alongside RDD is exceptionally rare. …”
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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing by Antonio García-Garví, Antonio-José Sánchez-Salmerón

“…In recent years, automated methods have been developed to extract mobility phenotypes and analyse, using statistical methods, whether there are differences between control strains and disease model strains. …”
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The Evolution of the Idiolect over the Lifetime: A Quantitative and Qualitative Study of French 19th Century Literature by Olga Seminck, Philippe Gambette, Dominique Legallois, Thierry Poibeau

“…Using the Corpus for Idiolectal Research (CIDRE) that contains the dated works of 11 prolific 19th century French fiction writers, we propose new methods to identify, quantify and describe the grammatical-stylistic changes that take place using lexico-morphosyntactic patterns, also called motifs. To examine the strength of the chronological signal of change, we developed a method to calculate if a distance matrix of literary works contains a stronger chronological signal than expected by chance. …”
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Artificial Neural Network Classification of Motor-Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity by Vladimir A. Maksimenko, Semen A. Kurkin, Elena N. Pitsik, Vyacheslav Yu. Musatov, Anastasia E. Runnova, Tatyana Yu. Efremova, Alexander E. Hramov, Alexander N. Pisarchik

“…We apply artificial neural network (ANN) for recognition and classification of electroencephalographic (EEG) patterns associated with motor imagery in untrained subjects. …”
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Insights into Binding Mechanisms of Potential Inhibitors Targeting PCSK9 Protein via Molecular Dynamics Simulation and Free Energy Calculation by Xingyu Wu, Xi Zhu, Min Fang, Fenghua Qi, Zhixiang Yin, John Z.H. Zhang, Shihua Luo, Tong Zhu, Ya Gao

“…This work contributes to the development of more effective treatments for hyperlipidemia and associated cardiovascular diseases.…”
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Year-Round Acoustic Presence of Beaked Whales (Ziphiidae) Far Offshore off Australia’s Northwest Shelf by Evgenii Sidenko, Iain Parnum, Alexander Gavrilov, Robert McCauley, Christine Erbe

“…An automatic detection routine for beaked whale clicks was developed, tested, and run on these recordings. The detection workflow included: (1) the extraction of impulsive signals from passive acoustic recordings based on an auto-regression model, (2) the calculation of a set of features of extracted signals, and (3) binary signal classification based on these features. …”
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