Sensitive Integration of Multilevel Optimization Model in Human Activity Recognition for Smartphone and Smartwatch Applications by Samaher Al-Janabi, Ali Hamza Salman

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Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network by Krishna Kant Singh, Akansha Singh

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Tracer-based Rapid Anthropogenic Carbon Estimation (TRACE) by B. R. Carter, B. R. Carter, J. Schwinger, R. Sonnerup, A. J. Fassbender, J. D. Sharp, J. D. Sharp, L. M. Dias, L. M. Dias, D. E. Sandborn

“…We use this code to generate a data product of global gridded open-ocean C<span class="inline-formula">_anth</span> distributions (TRACEv1_GGC<span class="inline-formula">_anth</span>; Carter, 2025) that ranges from the preindustrial era through 2500 under a range of Shared Socioeconomic Pathways (SSPs, or atmospheric CO<span class="inline-formula">₂</span> concentration pathways). …”
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UNESCO’s Proceedings, 1945–2017: A Bilingual Digital Text Corpus by Benjamin G. Martin, Fredrik Mohammedi Norén, Roger Mähler, Andreas Marklund, Oriane Martin

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ETV-MVS: Robust Visibility-Aware Multi-View Stereo with Epipolar Line-Based Transformer by Shaoqian Wang, Xiaokun Ding, Yuxin Mao, Yuchao Dai

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An integrated approach to image quality: comparative analysis of bilinear and nearest neighbor interpolation by Wusat Ullah, Seher Ilyas, Hamza Naveed, Saalam Ali

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Seismic survey in an urban area: the activities of the EMERSITO INGV emergency group in Ancona (Italy) following the 2022 <i>M</i>_w 5.5 Costa Marchigiana–Pesarese earthq... by D. Famiani, F. Cara, G. Di Giulio, G. Cultrera, F. Pacor, S. Lovati, G. Riccio, M. Vassallo, G. Brunelli, A. Costanzo, A. Bobbio, M. Pischiutta, R. Puglia, M. Massa, R. Cogliano, S. Hailemikael, A. Mercuri, G. Milana, L. Minarelli, A. Di Filippo, L. Nardone, S. Marzorati, C. Ladina, D. Pantaleo, C. Calamita, M. G. Ciaccio, A. Fodarella, S. Pucillo, G. Mele, C. Bottari, G. De Luca, L. Falco, A. Memmolo, G. Sgattoni, G. Tarabusi

“…In particular, we describe the steps that led to the deployment of a temporary network of seismic stations in the urban area of Ancona, the main city of the Adriatic coastline. Data collected by the temporary Ancona network (identification code 6N; <a href="https://doi.org/10.13127/sd/qctgd6c-3a">https://doi.org/10.13127/sd/qctgd6c-3a</a>, EMERSITO Working Group, 2024) from November 2022 to the end of February 2023 have been preliminary analyzed with different techniques to characterize the deployment sites and are now available for further and detailed studies.…”
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Coastal Atmosphere and Sea Time Series (CoASTS) and Bio-Optical mapping of Marine Properties (BiOMaP): the CoASTS-BiOMaP dataset by G. Zibordi, G. Zibordi, J.-F. Berthon

“…Both CoASTS and BiOMaP applied standardized instruments, measurement methods, quality control schemes and processing codes to ensure temporal and spatial consistency in data products. …”
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Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model by Mazin Fahad Alahmadi, Mustafa Tahsin Yilmaz

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MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation by Tao Dai, Rongliang Huang, Hang Guo, Jinbao Wang, Bo Li, Zexuan Zhu

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Association Between Mastication Pattern, Periodontal Condition, and Cognitive Condition—Investigation Using Large Database of Japanese Universal Healthcare System by Takahiko Shiba, Daisuke Sasaki, Juanna Xie, Chia-Yu Chen, Hiroyuki Tanaka, Shigemi Nagai

“…This observational study analyzed dental and medical records from Japan’s Universal Healthcare System (UHCS) national database to investigate the relationship between cognitive and oral disorders, focusing on periodontitis and decreased tooth-to-tooth contact between the maxillary and mandibular arches. A descriptive data analysis evaluated diagnostic codes for Alzheimer’s disease and cognitive impairment alongside dental treatment records from 2013 to 2018. …”
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FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction by Xuekai Zhu, Juan Liu, Jian Zhang, Zhihui Yang, Feng Yang, Xiaolei Zhang

“…Furthermore, FingerDTA achieves comparable performance on Davis and KIBA data sets. In the case study of screening potential drugs for the spike protein of the coronavirus disease 2019 (COVID-19), 7 of the top 10 drugs have been confirmed potential by literature. …”
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EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation by Qiaozhen Meng, Yinuo Lyu, Xiaoqing Peng, Junhai Xu, Jijun Tang, Fei Guo

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Action Recognition in Real-World Ambient Assisted Living Environment by Vincent Gbouna Zakka, Zhuangzhuang Dai, Luis J. Manso

“…However, action recognition in practical AAL applications presents challenges, including occlusions, noisy data, and the need for real-time performance. While advancements have been made in accuracy, robustness to noise, and computation efficiency, achieving a balance among them all remains a challenge. …”
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Corpus Development and NER Model for Identification of Legal Entities (Articles, Laws, and Sanctions) in Corruption Court Decisions in Indonesia by Edy Subowo, Imam Bukhori, warto

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A Fully-Searchable Multimodal Dataset of the 'Illustrated London News', 1842–1890 by Thomas Smits, Bethany Warner, Paul Fyfe, Benjamin Charles Germain Lee

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The SAIL dataset of marine atmospheric electric field observations over the Atlantic Ocean by S. Barbosa, N. Dias, N. Dias, C. Almeida, C. Almeida, G. Amaral, G. Amaral, A. Ferreira, A. Ferreira, A. Camilo, E. Silva, E. Silva

“…Final datasets are available from the Figshare repository (<span class="uri">https://figshare.com/projects/SAIL_Data/178500</span>, <span class="cit" id="xref_altparen.1"><a href="#bib1.bibx48">SAIL Data</a>, <a href="#bib1.bibx48">2025</a></span>), and computational notebooks containing the code used at every step of the data curation chain are available from the Zenodo repository (<span class="uri">https://zenodo.org/communities/sail</span>, <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx45">Project SAIL community</a>, <a href="#bib1.bibx45">2025</a></span>).…”
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Global agricultural lands in the year 2015 by Z. Mehrabi, Z. Mehrabi, Z. Mehrabi, K. Tong, K. Tong, J. Fortin, J. Fortin, J. Fortin, R. Stanimirova, M. Friedl, N. Ramankutty, N. Ramankutty

“…We distribute our 2015 product at the same resolution and formats as the prior product, and accompany it with a full set of replicable code and data for reconstruction. In this article we explain how the data was constructed, with links to the permanent DOIs where the data can be readily downloaded by the user community (Mehrabi et al., 2024; <a href="https://doi.org/10.5281/zenodo.11540553">https://doi.org/10.5281/zenodo.11540553</a>).…”
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A revised and expanded deep radiostratigraphy of the Greenland Ice Sheet from airborne radar sounding surveys between 1993 and 2019 by J. A. MacGregor, M. A. Fahnestock, J. D. Paden, J. Li, J. P. Harbeck, A. Aschwanden

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ChatEarthNet: a global-scale image–text dataset empowering vision–language geo-foundation models by Z. Yuan, Z. Xiong, L. Mou, X. X. Zhu, X. X. Zhu

“…Additionally, when paired with visual data, natural language can be utilized to train large vision–language foundation models, significantly improving performance in various tasks. …”
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