Molecular feature-based classification of retroperitoneal liposarcoma: a prospective cohort study by Mengmeng Xiao, Xiangji Li, Fanqin Bu, Shixiang Ma, Xiaohan Yang, Jun Chen, Yu Zhao, Ferdinando Cananzi, Chenghua Luo, Li Min

“…Methods: RNA sequencing was performed on a training cohort of 88 RPLS patients to identify dysregulated genes and pathways using clusterProfiler. The GSVA algorithm was utilized to assess signaling pathway levels in each sample, and unsupervised clustering was employed to distinguish RPLS subtypes. …”
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Elementary Growth Modes provide a molecular description of cellular self-fabrication. by Daan H de Groot, Josephus Hulshof, Bas Teusink, Frank J Bruggeman, Robert Planqué

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Oxaliplatin-induced changes in microbiota, TLR4+ cells and enhanced HMGB1 expression in the murine colon. by Vanesa Stojanovska, Rachel M McQuade, Sarah Fraser, Monica Prakash, Shakuntla Gondalia, Rhian Stavely, Enzo Palombo, Vasso Apostolopoulos, Samy Sakkal, Kulmira Nurgali

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Large-scale patterns of benthic marine communities in the Brazilian Province. by Anaide W Aued, Franz Smith, Juan P Quimbayo, Davi V Cândido, Guilherme O Longo, Carlos E L Ferreira, Jon D Witman, Sergio R Floeter, Bárbara Segal

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A Comprehensive Catalog of Emission-line Nebulae, Star Clusters, and Supergiants in M31 from the LAMOST Spectroscopic Survey by Pinjian Chen, Bingqiu Chen, Xuan Fang, Haibo Yuan, Baisong Zhang, Xiangwei Zhang, Jiarui Sun, Xiaowei Liu

“…These objects were classified using a random forest algorithm, followed by thorough visual examinations of their spectral characteristics, as well as morphologies revealed by archive images. …”
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Microbial biomarker discovery in Parkinson’s disease through a network-based approach by Zhe Zhao, Jing Chen, Danhua Zhao, Baoyu Chen, Qi Wang, Yuan Li, Junyi Chen, Chaobo Bai, Xintong Guo, Nan Hu, Bingwei Zhang, Rongsheng Zhao, Junliang Yuan

“…The analysis revealed significant alterations in microbial composition and alpha and beta diversity, emphasizing altered gut microbiota in PD. …”
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Novel bacterial cluster “Prevotella, Bacteroides and Suterella” associated with mortality in Mexican patients with acute-on-chronic liver failure (ACLF) and clinical utility of sys... by Paula A. Castaño Jiménez, Tonatiuh A. Baltazar-Díaz, Rodrigo Hernández-Basulto, Mayra P. Padilla-Sánchez, Ksenia K. Kravtchenko, Roxana García-Salcido, María T. Tapia-De la paz, Kevin J. Arellano-Arteaga, Luz A. González-Hernández, Miriam R. Bueno-Topete

“…Furthermore, α and β diversity analyses, relative abundances, and ANCOM-BC compositional analysis were performed in the QIIME2 package. …”
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CBA/CaJ mouse ultrasonic vocalizations depend on prior social experience. by Kali Burke, Laurel A Screven, Micheal L Dent

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Discovering biomarkers associated with infiltration of CD8+ T cells and tumor-associated fibrosis in colon adenocarcinoma using single-cell RNA sequencing and gene co-expression ne... by Jinning Zhang, Jinning Zhang, Ziquan Sun, Ziquan Sun, Guodong Li, Guodong Li, Lixian Ding, Zitong Wang, Ming Liu, Ming Liu

“…To analyze COAD expression’s quantitative immune cell composition data, we conducted a Weighted Gene Correlation Network Analysis and utilized a deconvolution algorithm. …”
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Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis by Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker

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Optimal Charging Current Protocol with Multi-Stage Constant Current Using Dandelion Optimizer for Time-Domain Modeled Lithium-Ion Batteries by Seongik Han

“…For the first time, DO was applied to metaheuristic optimization algorithms (MOAs) to determine the OCP within the MSCC protocol. …”
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HybridFormer: a convolutional neural network-Transformer architecture for low dose computed tomography image denoising by Shanaz Sharmin Jui, Zhitao Guo, Rending Jiang, Jiale Liu, Bohua Li

“…To avoid smoothing, we combined multi-scale perceptual loss from ResNet-50 with Charbonnier loss into a composite loss function. Validated on the AAPM2016 Mayo dataset, HybridFormer outperformed other state-of-the-art algorithms, achieving improvements of 0.02 dB, 0.16%, and 0.28% in PSNR, SSIM, and FSIM, respectively. …”
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Experiential space analysis: scoring tranquil, social, and explorative places in habitable buildings by Rhys Goldstein, Nastaran Shahmansouri, Jeremy P. M. Mogk, Sebastian Herrera, Dianne Gault, Frederik Brudy, Michael Lee, Liviu Calin, Tomas Lay Herrera, Dagmara Szkurlat, Kean Walmsley

“…We observe that human evaluators tend to assume relatively uniform experiential qualities within each space of each apartment, whereas our algorithm often predicts a gradient of highly tranquil, social, and explorative places even within the same room. …”
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Protein structural domain-disease association prediction based on heterogeneous networks by Jingpu Zhang, Lianping Deng, Lei Deng

“…The results show that the binary classification model using the XGBOOST algorithm performs significantly better than models using other machine learning algorithms, achieving an AUC (Area Under Curve) score of 0.94 in the leave-one-out cross-validation experiment. …”
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A Survey on UAV Control with Multi-Agent Reinforcement Learning by Chijioke C. Ekechi, Tarek Elfouly, Ali Alouani, Tamer Khattab

“…Despite significant progress, the field remains fragmented, with a wide variety of algorithms, architectures, and evaluation metrics spread across domains. …”
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Harnessing artificial intelligence role in oral cancer diagnosis and prediction: A comprehensive exploration by Archana Behera, N. Aravindha Babu, Remya Rajan Renuka, Mukesh Kumar Dharmalingam Jothinathan

“…A combination of two feature extraction techniques, hybrid and boosting algorithms, this way leads to saving time for evaluation. …”
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Game Narratives as Tools for Shaping Political Discourse Amidst Information Wars: The Case of the Ukrainian Conflict by Daniil A. Fedotov, Stanislav I. Kaminsky

“…The methodology of the study is based on the synthesis of narrative, semiotic and discourse analysis of game annotations, algorithmic study of game mechanics, expert assessments and longitudinal monitoring. …”
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Inferring Travel Modes from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network by Yanchen Wang, Fei Yang, Li He, Haode Liu, Li Tan, Cheng Wang

“…With 24 features as input, this method can identify four traffic modes, including walking, bicycle, car, and bus. Moreover, in cooperation with the operator, we organized an experiment collecting cellular signaling data, as well as the corresponding GPS data. …”
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Decentralized coordinated emergency frequency control strategy for renewables-rich power systems based on multi-agent reinforcement learning by Zhenglong Sun, Junpeng Han, Weihan Chen, Rui Zhang, Yong Liu, Yoash Levron, Juri Belikov

“…Combined with the system frequency response (SFR) model parameter identification method, the grid frequency regulation capability of different fault conditions is evaluated. A MADRL algorithm with integrated SFR model is developed to overcome the problem of inaccurate assessment of centralized action values in the MADRL algorithm used for EFC, and a decentralized and cooperative EFC strategy is realized. …”
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Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa by Boris Ouattara, Michael Thiel, Barbara Sponholz, Heiko Paeth, Marta Yebra, Florent Mouillot, Patrick Kacic, Kwame Hackman

“…The algorithm encompasses several steps, including pre-processing individual scenes, creating cloud-free composites, generating binary reference data for burned and non-burned areas, conducting a supervised classification using random forest, and performing region shaping. …”
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