Peritoneal dialysis in an end-stage renal disease patient with massive ascites and primary liver cancer by Lulu Sun, Chunmei Liang, Yuqin Wang, Hui Li, Lijun Yao, Huajun Jiang

“…Peritoneal dialysis (PD) catheter insertion and continuous ambulatory peritoneal dialysis (CAPD) treatment were successfully performed. …”
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Cardiac Output Assessed by Invasive and Minimally Invasive Techniques by Allison J. Lee, Jennifer Hochman Cohn, J. Sudharma Ranasinghe

“…Despite controversies, complications and inherent errors in measurement, pulmonary artery catheter (PAC) continuous and intermittent bolus techniques of CO measurement continue to be the gold standard. …”
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Septic Pulmonary Embolism Causing Recurrent Pneumothorax in an Intravenous Drug User without Right-Sided Valvular Vegetation in Infective Endocarditis by Mason Montano, Kevin Lee, Kushal Patel, Mutsumi Kioka

“…Pneumothorax (PTX) has been observed as a rare complication of SPE and is commonly associated with infective right-sided IE, IVDU, and intravascular indwelling catheters. However, this case is novel as it is the very rare documented case of recurrent, unilateral, spontaneous right PTX refractory to multiple chest tube placements in such a setting. …”
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Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks by Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee

“…Simulation results demonstrate its effectiveness, showing resilience to perturbation by achieving commendable accuracy of 100% and 99.4% on the Wustl-IIoT2021 and Edge-IIoT datasets, respectively.…”
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Application of a dynamic energy budget model to the blood clam, Tegillarca granosa, reared in culture pond by Lin He, Bo Jiang, Xiafei Zheng, Julin Yuan, Zhihua Lin

“…We calculated DEB parameter values for larvae through laboratory experiments specifically designed to gather datasets on ingestion and growth under varying phytoplankton densities and temperatures. …”
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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…We demonstrate how existing open-source datasets can be spatially integrated and subsequently used as training for machine learning (ML) models to predict building occupancy type, a major component needed for disaster preparedness and decision -making. …”
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Quantum Circuit for Imputation of Missing Data by Claudio Sanavio, Simone Tibaldi, Edoardo Tignone, Elisa Ercolessi

“…We train and test the performance of the algorithms on a series of datasets finding good convergence of the results. Finally, we test the circuit for generalization to unseen data. …”
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Effects of fine terrain complexity on cloud and precipitation changes over the Tibetan Plateau: a modeling study by Kai Yang, Jinghua Chen, Tianliang Zhao, Chunsong Lu, Xiangde Xu, Yuehan Luo, Qingjian Yang, Chenghao Tan, Weikang Fu, Ziyue Wang

“…This study utilizes the Weather Research and Forecasting (WRF) model with multiple terrain datasets and introduces the terrain complexity index (TCI) to quantify the degree of terrain changes, aiming to evaluate how terrain complexity affects the cloud and precipitation processes over the TP. …”
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A report on the physicochemical and antioxidant properties of three Indonesian forest honeys produced by Apis dorsata by Mahani, Pamungkas Rizki Ferdian, Habil Muhammad Ghibran, Amirah Fathia Herlina, Siti Nurhasanah, Nunung Nurjanah, Rizki Rabeca Elfirta, Avry Pribadi, Raden Lia Rahadian Amalia, I Made Samudra

“…However, the small sample size limits generalizations, and further research with larger datasets is essential for validation.…”
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Accelerated enzyme engineering by machine-learning guided cell-free expression by Grant M. Landwehr, Jonathan W. Bogart, Carol Magalhaes, Eric G. Hammarlund, Ashty S. Karim, Michael C. Jewett

“…Abstract Enzyme engineering is limited by the challenge of rapidly generating and using large datasets of sequence-function relationships for predictive design. …”
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Streamlined photoacoustic image processing with foundation models: A training-free solution by Handi Deng, Yucheng Zhou, Jiaxuan Xiang, Liujie Gu, Yan Luo, Hai Feng, Mingyuan Liu, Cheng Ma

“…This paper serves as a comprehensive tutorial, facilitating the mastery of the technique through the provision of code and sample datasets.…”
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Hybrid Depth-Separable Residual Networks for Hyperspectral Image Classification by Cuijie Zhao, Hongdong Zhao, Guozhen Wang, Hong Chen

“…Extensive experiments on the popular HSI benchmark datasets show that the performance of the proposed network is better than that of the existing prevalent methods.…”
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A Review of Foreign Object Debris Detection on Airport Runways: Sensors and Algorithms by Jingfeng Shan, Lapo Miccinesi, Alessandra Beni, Lorenzo Pagnini, Andrea Cioncolini, Massimiliano Pieraccini

“…AI approaches, employing supervised and unsupervised learning, demonstrate potential for automating detection and improving precision, although challenges such as limited datasets and high computational demands persist. This review consolidates the recent progress across these domains, highlighting the need for integrated systems that combine radar and AI to improve adaptability, scalability, and small-FOD detection. …”
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The Human Microglia Atlas (HuMicA) unravels changes in disease-associated microglia subsets across neurodegenerative conditions by Ricardo Martins-Ferreira, Josep Calafell-Segura, Bárbara Leal, Javier Rodríguez-Ubreva, Elena Martínez-Saez, Elisabetta Mereu, Paulo Pinho E Costa, Ariadna Laguna, Esteban Ballestar

“…We constructed an atlas of human brain immune cells by integrating nineteen single-nucleus RNA-seq and single-cell RNA-seq datasets from multiple neurodegenerative conditions, comprising 241 samples from patients with Alzheimer’s disease, autism spectrum disorder, epilepsy, multiple sclerosis, Lewy body diseases, COVID-19, and healthy controls. …”
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Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting by Dhivagar Shanmugam, V Ramana

“…Specifically, the coefficient of determination (R²) values for the training, testing, and total datasets are 0.9994, 0.9920, and 0.9985, respectively, demonstrating that AGWO is the most precise optimizer among the studied meta-heuristic algorithms.…”
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Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer by Nicolas Captier, Marvin Lerousseau, Fanny Orlhac, Narinée Hovhannisyan-Baghdasarian, Marie Luporsi, Erwin Woff, Sarah Lagha, Paulette Salamoun Feghali, Christine Lonjou, Clément Beaulaton, Andrei Zinovyev, Hélène Salmon, Thomas Walter, Irène Buvat, Nicolas Girard, Emmanuel Barillot

“…Our study thus provides evidence of the superiority of multimodal over unimodal approaches, advocating for the collection of large multimodal NSCLC datasets to develop and validate robust and powerful immunotherapy biomarkers.…”
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A single-cell and spatial wheat root atlas with cross-species annotations delineates conserved tissue-specific marker genes and regulators by Yuji Ke, Vincent Pujol, Jasper Staut, Lotte Pollaris, Ruth Seurinck, Thomas Eekhout, Carolin Grones, Maite Saura-Sanchez, Michiel Van Bel, Marnik Vuylsteke, Andrea Ariani, Christophe Liseron-Monfils, Klaas Vandepoele, Yvan Saeys, Bert De Rybel

“…Here, we generated a single-cell RNA sequencing atlas of soil-grown wheat roots and annotated cluster identities by transferring annotations from publicly available datasets in wheat, rice, maize, and Arabidopsis. The predictions from our orthology-based annotation approach were next validated using untargeted spatial transcriptomics. …”
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Determination of the Mechanical Properties of Rubber by FT-NIR by Rattapol Pornprasit, Philaiwan Pornprasit, Pruet Boonma, Juggapong Natwichai

“…Partial least square (PLS) calibration models were built from the spectra datasets with preprocessing techniques, that is, smoothing and second derivative. …”
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Genome-wide profiling of tRNA modifications by Induro-tRNAseq reveals coordinated changes by Yuko Nakano, Howard Gamper, Henri McGuigan, Sunita Maharjan, Jiatong Li, Zhiyi Sun, Erbay Yigit, Sebastian Grünberg, Keerthana Krishnan, Nan-Sheng Li, Joseph A. Piccirilli, Ralph Kleiner, Nicole Nichols, Brian D. Gregory, Ya-Ming Hou

“…In a parallel analysis of Induro vs. a related RT, we provide comparative datasets to facilitate the prediction of each modification. …”
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MAGAN: Unsupervised Low-Light Image Enhancement Guided by Mixed-Attention by Renjun Wang, Bin Jiang, Chao Yang, Qiao Li, Bolin Zhang

“…In addition, we conduct extensive experiments on paired and no-reference datasets to show the superiority of our method in enhancing low-light images.…”
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