The Host Galaxies of Pulsar Timing Array Sources: Converting Supermassive Black Hole Binary Parameters into Electromagnetic Observables by Niccolò Veronesi, Maria Charisi, Stephen R. Taylor, Jessie Runnoe, Daniel J. D’Orazio

“…However, the large uncertainty in source localization will make the identification of its host environment challenging. …”
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MDV ClimEx: An open-source tool for exploring climate anomalies in the McMurdo Dry Valleys of Antarctica by Renée F. Brown, Gavin P. Wagner

“…Here, we introduce MDV ClimEx, an open-source, interactive web application designed for user-driven exploration of long-term meteorological records from the MDVs. …”
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Circulating cell-free DNA methylation patterns indicate cellular sources of allograft injury after liver transplant by Megan E. McNamara, Sidharth S. Jain, Kesha Oza, Vinona Muralidaran, Amber J. Kiliti, A. Patrick McDeed, Digvijay Patil, Yuki Cui, Marcel O. Schmidt, Anna T. Riegel, Alexander Kroemer, Anton Wellstein

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Nitrogen-functionalized modulation of iron nanoparticles promotes selective hydrogenation of carbon dioxide by Xianbiao Wang, Jun Qian, Zixuan Lu, Jie Huang, Liru Zheng, Yong Jiang, Mengdie Cai, Yuxue Wei, Lisheng Guo, Song Sun

“…Nitrogen-functionalized iron nanoparticles were prepared using a one-pot hydrothermal process. …”
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Enhanced Reward Function Design for Source Term Estimation Based on Deep Reinforcement Learning by Junhee Lee, Hongro Jang, Minkyu Park, Hyondong Oh

“…This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). …”
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Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection by Asaf Khan, Saifullah Khan, Ariana Abdul Rahimzai, Saleem Abdullah

“…We develop continuous non-linear Diophantine fuzzy algebraic aggregation operators and apply them to a multi-attribute decision-making problem in renewable energy source selection. A case study demonstrates the effectiveness of the proposed CN-LDFS framework using a weighted geometric operator. …”
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Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data by Xiao Liu, Xianmei Fang, Song Sun, Yangchun Gao, Dan Yang, Meng Yan

“…This study introduces SCM, a two-stage composite feature selection framework designed to address this challenge. …”
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Organic and Conventional Coffee Beans, Infusions, and Grounds as a Rich Sources of Phenolic Compounds in Coffees from Different Origins by Alicja Ponder, Karol Krakówko, Marcin Kruk, Sebastian Kuliński, Rafał Magoń, Daniel Ziółkowski, Elvyra Jariene, Ewelina Hallmann

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SELECTION OF CRITERIA FOR ASSESSING THE EFFECTIVENESS OF RENEWABLE ENERGY SUPPORT POLICIES by N.А. Riazanova

“…The purpose of the article is to research and develop scientific and economic decisions on the assessment of the efficiency of the use of renewable energy sources, and to justify the selection of criteria for assessing renewable energy support policies. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. …”
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Forms of financing the cultural sector in Poland against the background of solutions from selected European countries by Joanna Posłuszna, Stella Kaczmarek

“…Although the cultural sector is very important, state budgets contribute only a little to the financing of culture and its functioning depends on various sources of financing. …”
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Remote Sensing Extraction of Damaged Buildings in the Shigatse Earthquake, 2025: A Hybrid YOLO-E and SAM2 Approach by Zhimin Wu, Chenyao Qu, Wei Wang, Zelang Miao, Huihui Feng

“…The dataset used for training contained labeled examples of damaged buildings, and the model optimization was carried out using stochastic gradient descent (SGD), with cross-entropy and mean squared error as the selected loss functions. Upon evaluation, the model reached a precision of 0.840, a recall of 0.855, an F1-score of 0.847, and an IoU of 0.735. …”
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Adhesive Forum Selection Agreements and Access to Justice: The Function and Limits of Anti-Waiver Protections by Hannah L. Buxbaum

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A functional selection model explains evolutionary robustness despite plasticity in regulatory networks by Naomi Habib, Ilan Wapinski, Hanah Margalit, Aviv Regev, Nir Friedman

“…We explain these trends using a model with a strong selection to conserve the overall function of a transcription factor, and a much weaker selection over the specific genes it targets. …”
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Scientific justification for the selection of vegetable crops of the cruciferous family for the design of functional dairy products by Peysakhov Mark, Dunchenko Nina, Yankovskaya Valentina

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Characterization of analog rice produced from various carbohydrate sources and their functional components: a review by Dwi Ghina Nadhifa, Meta Mahendradatta, Ariny Poespitasari, Februadi Bastian, Andi Yuyun Adhnitasari

“…The information summarized in this review can be a reference for selecting the carbohydrate sources and ingredients for further development of analog rice based on its resulting characteristics and health benefits.…”
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ChiMSource improves the accuracy of studies on novel amino acid sequences by predicting alternative sources of mass spectrometry-derived peptides by Umut Çakır, Noujoud Gabed, Ali Yurtseven, Igor Kryvoruchko

“…Here, we present a highly flexible program that predicts alternative chimeric and non-chimeric sources of peptides detected by MS proteomics.…”
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Effect of cochlear implant surgery on vestibular function: meta-analysis study by Iman Ibrahim, Sabrina Daniela da Silva, Bernard Segal, Anthony Zeitouni

“…Study selection Published studies of adult patients who received unilateral or bilateral CIs and whose vestibular function or postural stability was assessed before and after surgery. …”
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Three-Dimensional Real-Scene-Enhanced GNSS/Intelligent Vision Surface Deformation Monitoring System by Yuanrong He, Weijie Yang, Qun Su, Qiuhua He, Hongxin Li, Shuhang Lin, Shaochang Zhu

“…The system integrates GNSS monitoring terminals and multi-source meteorological sensors to accurately capture minute displacements at monitoring points and multi-source Internet of Things (IoT) data, which are then automatically stored in MySQL databases. …”
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Failure Law of Sandstone and Identification of Premonitory Deterioration Information Based on Digital Image Correlation–Acoustic Emission Multi-Source Information Fusion by Zhaohui Chong, Guanzhong Qiu, Xuehua Li, Qiangling Yao

“…Additionally, by introducing the derivative functions of the multi-source information function for quantitative analysis, a comprehensive evaluation method was proposed based on the multi-source information fusion monitoring to forewarn red sandstone failure by levels during loading. …”
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