An open flame and smoke detection dataset for deep learning in remote sensing based fire detection by Ming Wang, Peng Yue, Liangcun Jiang, Dayu Yu, Tianyu Tuo, Jian Li

“…Taking the advantage of rapid advancements in remote sensing technology and artificial intelligence, we introduce the Flame And Smoke Detection Dataset (FASDD), a pioneering collection comprising over 120,000 heterogeneous images covering various fire scenarios, aiming to promote the evolution of fire detection models. FASDD serves as a challenging benchmark for object detection tasks and features three sub-datasets: FASDD_CV, FASDD_UAV, and FASDD_RS. …”
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Stability of SARS-CoV-2 phylogenies. by Yatish Turakhia, Nicola De Maio, Bryan Thornlow, Landen Gozashti, Robert Lanfear, Conor R Walker, Angie S Hinrichs, Jason D Fernandes, Rui Borges, Greg Slodkowicz, Lukas Weilguny, David Haussler, Nick Goldman, Russell Corbett-Detig

“…Researchers immediately leveraged these data to infer the evolutionary relationships among viral samples and to study key biological questions, including whether host viral genome editing and recombination are features of SARS-CoV-2 evolution. This global sequencing effort is inherently decentralized and must rely on data collected by many labs using a wide variety of molecular and bioinformatic techniques. …”
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Assessment of the Physical Vulnerability of Vernacular Architecture to Meteorological Hazards Using an Indicator-Based Approach: The Case of the Kara Region in Northern Togo by Modeste Yaovi Awoussi, Eugene Kodzo Anani Domtse, Komlan Déla Gake, Paolo Vincenzo Genovese, Yao Dziwonou

“…The index of vulnerability to heavy rain, high heat and strong wind for contemporary architecture (CA), as we term the current state of evolution of these two forms of architecture, is 0.499, 0.522 and 0.456, respectively. …”
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A Comprehensive Review of Unimodal and Multimodal Fingerprint Biometric Authentication Systems: Fusion, Attacks, and Template Protection by U. Sumalatha, K. Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak

“…Biometrics is a methodology that utilize unique behavioral, physical, or morphological traits—such as speech, facial features, iris, fingerprint, retina, and signature for individual identification. …”
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Disk Instability Model for Quasi-periodic Eruptions: Investigating Period Dispersion and Peak Temperature by Xin Pan, Shuang-Liang Li, Xinwu Cao, Bifang Liu, Weimin Yuan

“…We further investigate this model in this work, aiming to explain two key observational features: the dispersion in eruption periods and the peak temperatures during eruptions. …”
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Study on Thermal Deformation Behavior and Thermal Processing Map of a New Al-Li Alloy by Daoqi Chen, Xinyang Han, Yinggan Zhang, Yan Liu, Junfeng Chen

“…The effects of deformation parameters on the alloy’s microstructural evolution were examined using electron backscatter diffraction (EBSD) and transmission electron microscopy (TEM). …”
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El Nadador de Rescate SAR. Revisión Histórica (The SAR Rescue Swimmer. Historical Review) by Pablo Vázquez González, Cristian Abelairas Gómez, Sergio López García, José Palacios Aguilar

“…This paper describes the evolution of the professional figure of Rescue Swimmer, since its inception to the present day. …”
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New insights into hematopoietic cell transplantation in ALL: Who should be transplanted, when, and how by Daisuke Tomizawa, Evgenios Goussetis

“…However, further optimization and evolution of allogeneic HCT are needed to both maximize its anti-leukemia effects and minimize transplant-related complications, as there remain cases that undoubtedly require HCT for the cure of leukemia.…”
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An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

“…Artificial intelligence is transforming the detection of diabetic retinopathy, moving away from traditional machine learning models that rely on manually created features to deep learning methods that allow for automatic feature extraction from retinal images. …”
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Revealing the hidden diversity of Chlorella heliozoae-infecting giant viruses by Lethícia R. Henriques, Bruna B. F. Botelho, Roger M. Carlson, João Victor R. P. Carvalho, Ellen G. Oliveira, Irina V. Agarkova, James L. Van Etten, David D. Dunigan, Rodrigo A. L. Rodrigues

“…This study focuses on describing and comparing the genomic features of gammachloroviruses, previously referred to as SAG-viruses. …”
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Siberian Animal Style as a Conceptual Basis for the Conversion of Traditional Artistic Heritage into Cultural Industries by Margarita I. Gomboeva

“…The process of acquiring the author’s style, its semantic distinctive features, and the creation of the author’s identity is a fundamental problem for artists. …”
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Congenital haemangiomas: a single-centre retrospective review by Nicolas Grenier, Victoire Braun, Sorilla Prey, Carlotta Gurioli, Franck Boralevi, Alain Taieb, Maya Loot, Marie-Laure Jullie, Christine Léauté-Labrèze

“…Certain overlapping features were apparent, reinforcing the hypothesis that RICH, NICH and PICH lie on the same pathological spectrum.…”
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Multispectral Extended Depth-of-Field Imaging via Stochastic Wavefront Optimization by Exequiel Oliva, Nelson Diaz, Samuel Pinilla, Esteban Vera

“…Extended depth-of-field (EDoF) is a desirable attribute for imaging systems where all features in the scene are in focus despite their relative distance. …”
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Transport of Volatiles in Agglutinates from Lunar Regolith of Chang’e-5 Mission by Long Li, Guang Zhang, Hui Zhang, Yuan Xiao, Shaofan Zhao, Jian Song, Wei Yao, Weihua Wang, Zhigang Zou, Mengfei Yang

“…They are crucial in the soil’s evolution and the migration of volatile substances. …”
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Deep Learning Extraction of Tidal Creeks in the Yellow River Delta Using GF-2 Imagery by Bojie Chen, Qianran Zhang, Na Yang, Xiukun Wang, Xiaobo Zhang, Yilan Chen, Shengli Wang

“…Tidal creeks are vital geomorphological features of tidal flats, and their spatial and temporal variations contribute significantly to the preservation of ecological diversity and the spatial evolution of coastal wetlands. …”
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CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…Subsequently, a diffusion model is employed to balance the states of nodes within the graph, enabling the co-evolution of adjacency relationships and feature information, thereby aggregating higher-order feature information to obtain superior feature embeddings. …”
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Dry-Type Air-Core Series Reactor Turn-to-Turn Short Circuit Fault Detection Method Based on Multi-Parameter Data Fusion by WANG Yin, WANG Yuanyuan, CAO Chengjun, ZHANG Lizhi, YIN Youpeng, JI Hongzhen, DOU Di

“…[Methods] First， the unbalance degree， power factor， zero sequence voltage， and characteristic impedance of the shunt capacitor bank are extracted as fault feature quantities， and their respective evolution laws after the fault are analyzed. …”
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Human Settlement System in Grasslands: Intrinsic Characteristics, Construction Framework, and Development Directions by Pengju Zhang, Zhiqiang Wang, Zhendong Lei, Yanqiang Di, Lihua Rong, Long He, Jia Li, Miao He

“…Additionally, it advocates a new paradigm of human settlement construction in grasslands that features integration with nature, low-intensity construction, and inheritance of tradition. …”
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American Visceral Leishmaniasis: Factors Associated with Lethality in the State of São Paulo, Brazil by Geraldine Madalosso, Carlos Magno Fortaleza, Ana Freitas Ribeiro, Lisete Lage Cruz, Péricles Alves Nogueira, José Angelo Lauletta Lindoso

“…Educational health measures are needed for the general population and continuing education programs for health professionals working in the affected areas with the purpose of identifying and treating early cases, thus preventing the disease evolution towards death.…”
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Unraveling the role of chemokines in cutaneous T-cell lymphoma: expression levels at different stages by Alba Guglielmo, Corrado Zengarini, Corrado Zengarini, Federica Tugnoli, Pier Luigi Zinzani, Pier Luigi Zinzani, Alessandro Borghi, Monica Corazza, Michelangelo La Placa, Michelangelo La Placa, Bianca Maria Piraccini, Bianca Maria Piraccini, Alessandro Pileri, Alessandro Pileri

“…Mycosis fungoides (MF) and Sezary syndrome (SS) are the most prevalent cutaneous T-cell lymphomas, classified separately in the 2022 WHO Classification due to their distinct features. Despite advances, the mechanisms underlying disease progression—from early patch and plaque lesions to advanced tumor stages—remain incompletely understood. …”
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