Exploration of the shared diagnostic genes and molecular mechanism between obesity and atherosclerosis via bioinformatic analysis by Wenrong An, Kegong Tang, Juan Liu, Wenfei Zheng, Guoxia Li, Yunsheng Xu

“…This study aimed to identify the shared diagnostic genes and the associated molecular mechanism between OB and AS. The microarray datasets of OB and AS were obtained from the Gene Expression Omnibus (GEO) database. …”
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Analyzing Drivers of Tropical Moist Forest Dynamics in the Kahuzi-Biega National Park Landscape, Eastern Democratic Republic of Congo from 1990 to 2022 by Nadège Cizungu Cirezi, Jean-François Bastin, Yannick Mugumaarhahama, Yannick Sikuzani Useni, Katcho Karume, Raymond Sinsi Lumbuenamo, Jan Bogaert

“…Analyzing annual TMF dynamics from 1990 to 2022 using data classified by Vancutsem and his collaborators in 2021 from Landsat imagery alongside spatial datasets of deforestation and degradation drivers, we employed a comprehensive analytical approach. …”
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FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection by Zhijie Li, Jiahui Zhang, Yingjie Zhang, Dawei Yan, Xing Zhang, Marcin Woźniak, Wei Dong

“…Experiments on the COCO and AI-TOD-V2 datasets show that FSDN-DETR achieves an approximately 20% improvement in average precision for very small objects, surpassing state-of-the-art models and demonstrating robustness and reliability for small object detection in complex environments.…”
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Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 by Ahmad Iqbal, Naveed Ahmad, Hassan Mohy ud Din, Michel Van Roozendael, Muhammad Shehzaib Anjum, Muhammad Zeeshan Ali Khan, Muhammad Fahim Khokhar

“…The comparison of the slopes of regression plots for daily and monthly datasets of OMI and TROPOMI vs. MAX-DOAS reveals that TROPOMI data is more synonymous to MAX-DOAS than OMI data. …”
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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

“…Experiments were conducted on five public datasets (DUT-OMRON, ECSSD, PASCAL-S, DUTS-TE, and HKU-IS). …”
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Glypican-3 is a key tuner of the Hedgehog pathway in COPD by Laure M.G. Petit, Lynda Saber Cherif, Maëva A. Devilliers, Sarah Hatoum, Julien Ancel, Gonzague Delepine, Anne Durlach, Xavier Dubernard, Jean-Claude Mérol, Christophe Ruaux, Myriam Polette, Gaëtan Deslée, Jeanne-Marie Perotin, Valérian Dormoy

“…The transcript levels of the principal co-receptor GPC3 were investigated on public RNAseq datasets and by RT-qPCR. The localisation of GPC3 was evaluated through immunofluorescent stainings on isolated bronchial AEC and tissues from non-COPD and COPD patients. …”
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Pixel-Level Non-Local Method-Based Depth Image Inpainting by Xiaoya Dai, Yingkun Hou, Shuqi Zhang, Hao Hou, Bin Feng, Tao Lin, Mengyu Liu

“…Experimental results show that the proposed method can achieve higher PSNR values than existing methods on public datasets, and the subjective visual quality of the inpainted images is also satisfactory.…”
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Cross-cultural insights into internet addiction and mental health: a network analysis from China and Malawi by Mengze Li, Yidi Wang, Bin Liu, Xiaoli Ni, Zhujing Ma, Fengzhan Li, Tifei Yuan, Hongyi Chen, Zhongying Wu, Qiannan Jia, Lei Song, Yinchuan Jin, Qun Yang

“…Methods Network analysis was used on two datasets: Malawi (n = 688) and China (n = 975) using the Internet Addiction Test and the Self-Reporting Questionnaire. …”
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Time Series Classification of Raw Voice Waveforms for Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation by Marta Rey-Paredes, Carlos J. Perez, Alfonso Mateos-Caballero

“…Despite recent advancements, one of the significant hurdles is still the lack of extensive and diverse datasets. This article also implements a data augmentation solution. …”
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Ecological imbalance on the area of Shapahar Upazila, Naogaon district over three decades (1993÷2023) and prediction trend next ten years: a GIS approach by Nazmul Hossain, Ahammodullah Hasan, Jannatul Adnan, Tasmia Jahin Mim, Arman Hossain, Ariful Molla, Noor Hossain, Habib Ibne Jahan, Abdulla Al Mamun

“…Utilizing GIS strategies, remote sensing statistics, and meteorological datasets, we examine the converting patterns of four key land cover sorts: water bodies, vegetation area, bare soil, and settlement area. …”
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Robustness and limitations of maximum entropy in plant community assembly by Jelyn Gerkema, Daniel E. Bunker, Andrew M. Cunliffe, Erika Bazzato, Michela Marignani, Tommaso Sitzia, Isabelle Aubin, Stefano Chelli, Julieta A. Rosell, Peter Poschlod, Josep Penuelas, Arildo S. Dias, Christian Rossi, Tanvir A. Shovon, Juan A. Campos, Mark C. Vanderwel, Sharif A. Mukul, Bruno E.L. Cerabolini, Thomas Sibret, Bruno Hérault, Sylvain Schmitt, Pedro Higuchi, James L. Tsakalos, Decky I. Junaedi, Yun-Peng Zhao, Vanessa Minden, Ana Carolina da Silva, Tereza Mašková, Roberto Canullo, Ning Dong, Edwin T. Pos

“…Here, we compared model predictions using either local or database-derived trait values, across different levels of species richness and between different taxonomic levels. A total of 19 datasets and 790 plots were analysed, spanning multiple habitat types (n = 18) and biomes (n = 7). …”
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Optimization Techniques for Physician Scheduling Problem: A Systematic Review of Recent Advancements and Future Directions by Norizal Abdullah, Masri Ayob, Meng Chun Lam, Nasser R. Sabar, Graham Kendall, Mohamad Khairulamirin Md Razali

“…This review also analyzes the datasets used in PSP research, noting the lack of standardized benchmarks. …”
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UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases by Marco Capó, Silvia Vitali, Georgios Athanasiou, Nicole Cusimano, Daniel García, Garth Cruickshank, Bipin Patel

“…We rigorously evaluated these approaches both as robust age predictors for healthy individuals and as potential biomarkers for various neurodegenerative conditions, leveraging data from the UK Biobank, ADNI, and NACC datasets. To this end we designed a statistical framework to assess age prediction performance, the robustness of the prediction across cohort variability (database, machine type and ethnicity) and its potential as a biomarker for neurodegenerative conditions. …”
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LMF-Net: A Learnable Multimodal Fusion Network for Semantic Segmentation of Remote Sensing Data by Jihao Li, Wenkai Zhang, Weihang Zhang, Ruixue Zhou, Chongyang Li, Boyuan Tong, Xian Sun, Kun Fu

“…Experiments on two well-established benchmark datasets reveal that our LMF-Net possesses superior segmentation behavior and strong generalization capability. …”
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Fibrocyte enrichment and myofibroblastic adaptation causes nucleus pulposus fibrosis and associates with disc degeneration severity by Yi Sun, Yan Peng, Zezhuo Su, Kyle, K. H. So, Qiuji Lu, Maojiang Lyu, Jianwei Zuo, Yongcan Huang, Zhiping Guan, Kenneth M. C. Cheung, Zhaomin Zheng, Xintao Zhang, Victor Y. L. Leung

“…In this study, we performed an integrative analysis of multiple single-cell RNA sequencing datasets to interrogate the cellular heterogeneity and fibroblast-like entities in degenerative human NP specimens. …”
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Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction by Xiang Yu, Daoyan Hu, Qiong Yao, Yu Fu, Yan Zhong, Jing Wang, Mei Tian, Hong Zhang

“…Conclusions The proposed method demonstrates improved restoration of original details from low-dose PET images compared to other models trained on the same datasets. This method offers a potential balance between minimizing radiation exposure and preserving diagnostic performance.…”
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Adaptive modification of antiviral defense systems in microbial community under Cr-induced stress by Dan Huang, Jingqiu Liao, Jose Luis Balcazar, Mao Ye, Ruonan Wu, Dongsheng Wang, Pedro J. J. Alvarez, Pingfeng Yu

“…Results Utilizing hybrid metagenomic assembly with long-read and short-read sequencing, we discovered that antiviral defense systems were more diverse and prevalent in heavily polluted soils, which was corroborated by meta-analyses of public datasets from various heavy metal-contaminated sites. …”
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Pan-cancer characterization of m6A-mediated regulation of T cell exhaustion dynamics and clinical relevancies in human cancers by Weiping Ji, Ye Fang, Liwei Chen, Yitong Zheng, Yifei Pei, Changqiu Mei, Meng Zhou

“…Here, we conducted a pan-cancer analysis integrating multi-omics data from cell lines, single-cell RNA sequencing, and pan-cancer and immunotherapy datasets to explore the dynamic interplay between m6A modification and TEX. …”
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Recommendations for developing, documenting, and distributing data products derived from NEON data by Jeff W. Atkins, Kelly S. Aho, Xuan Chen, Andrew J. Elmore, Rich Fiorella, Wenqi Luo, Danica Lombardozzi, Claire Lunch, Leah Manak, Luis X. dePablo, Allison N. Myers‐Pigg, Sydne Record, Tong Qiu, Samuel Reed, Benjamin Ruddell, Brandon Strange, Christa L. Torrens, Kelsey Yule, Andrew D. Richardson

“…Derived data products are curated, documented, reproducibly‐generated datasets created by applying various processing steps to one or more lower level data products—including interpolation, extrapolation, integration, statistical analysis, modeling, or transformations. …”
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Solar Energetic Particle Events Detected in the Housekeeping Data of the European Space Agency's Spacecraft Flotilla in the Solar System by Beatriz Sánchez‐Cano, Olivier Witasse, Elise W. Knutsen, Dikshita Meggi, Shayla Viet, Mark Lester, Robert F. Wimmer‐Schweingruber, Marco Pinto, Richard Moissl, Johannes Benkhoff, Hermann Opgenoorth, Uli Auster, Jos deBrujine, Peter Collins, Guido DeMarchi, David Fischer, Yoshifumi Futaana, James Godfrey, Daniel Heyner, Mats Holmstrom, Andrew Johnstone, Simon Joyce, Daniel Lakey, Santa Martinez, David Milligan, Elsa Montagnon, Daniel Müller, Stefano A. Livi, Timo Prusti, Jim Raines, Ingo Richter, Daniel Schmid, Peter Schmitz, Håkan Svedhem, Matt G. G. T. Taylor, Elena Tremolizzo, Dimitri Titov, Colin Wilson, Simon Wood, Joe Zender

“…We investigate these engineering datasets for scientific purposes and perform a feasibility study of solar energetic particle event detections using EDAC counters from seven European Space Agency Solar System missions: Venus Express, Mars Express, ExoMars‐Trace Gas Orbiter, Rosetta, BepiColombo, Solar Orbiter, and Gaia. …”
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