No genetic structure detected in multiple Brazilian marine fish species by Julia Tovar Verba, Adam Stow, Priscila F. M. Lopes, Maria Grazia Pennino, Antonio Sole-Cava, Sergio Maia Queiroz Lima

“…Consequently, identifying evolutionarily significant genetic lineages within exploited species can benefit the development of conservation management strategies. With the absence of genetic data life history traits are sometimes assumed to be good predictors of genetic patterns in natural populations. …”
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Frequency and Determinants of Flare and Persistently Active Disease in a Large Multinational Prospective Lupus Cohort by Yanjie Hao, Dylan Hansen, Worawit Louthrenoo, Yi‐Hsing Chen, Jiacai Cho, Aisha Lateef, Laniyati Hamijoyo, Shue Fen Luo, Yeong‐Jian Wu, Sandra Navarra, Leonid Zamora, Zhanguo Li, Sargunan Sockalingam, Yasuhiro Katsumata, Masayoshi Harigai, Lanlan Ji, Zhuoli Zhang, Madelynn Chan, Jun Kikuchi, Tsutomu Takeuchi, Sang‐Cheol Bae, Fiona Goldblatt, Sean O'Neill, Kristine (Pek Ling) Ng, B. M. D. B. Basnayake, Nicola Tugnet, Naoaki Ohkubo, Yoshiya Tanaka, Cherica Tee, Michael Tee, C. S. Lau, Ning Li, Vera Golder, Alberta Hoi, Rangi Kandane‐Rathnayake, Eric Morand, Shereen Oon, Mandana Nikpour, for the Asia Pacific Lupus Collaboration

“…Conclusion Both flare and PAD are common disease activity patterns in SLE; both predict organ damage accrual but differ in disease features and predictive factors. …”
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Mapping Urban Villages in Beijing–Tianjin–Hebei Core Cities Through a Dual-Stage Fusion of Individual Building Footprints and Glimmer Imagery by Jianqiang Hu, Yuheng Fu, Chaoqun Zhang, Manchun Li, Bingbo Gao, Qiancheng Lv, Jing Yang, Ziyue Chen

“…Accelerated urbanization has led to the widespread emergence of informal urban settlements, particularly urban villages (UVs), posing significant challenges to social equity, public welfare, and sustainable urban development. Current research on UV identification often relies solely on high-resolution satellite imagery, neglecting the unique spatial patterns and socioeconomic characteristics of UVs, thus limiting the effective distinction between UVs and other confusing land-use types. …”
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From sectors to functions: producer services, metropolisation and agglomeration forces in the Ile-de-France region by Ludovic Halbert

“…The results confirm the multipolar-monocentric pattern which seems to be a common feature in many European cities. …”
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The Exploitation of the Traditional Component in Restructuring Modern Food Offer in Romania by Magdalena Bobe, Roxana Procopie, Maria Alexandra Toma

“…Food and eating habits, together with adjacent agricultural activities have had and an important role in the development of modern society and the individual itself. …”
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Potential distribution of native freshwater fish in Tabasco, Mexico by Paula Andrea Castillo-Torres, Enrique Martínez-Meyer, Fernando Cordova Tapia, Luis Zambrano

“…The distribution patterns of the freshwater fish within Tabasco wetlands have not being yet studied at a regional scale. …”
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Reliability Analysis of Improved Type-II Adaptive Progressively Inverse XLindley Censored Data by Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat

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Addressing the emerging threat of Oropouche virus: implications and public health responses for healthcare systems by Olalekan John Okesanya, Blessing Olawumi Amisu, Olaniyi Abideen Adigun, Mohamed Mustaf Ahmed, Abdulmajeed Opeyemi Agboola, Tolga Kab, Gilbert Eshun, Bonaventure Michael Ukoaka, Tolutope Adebimpe Oso, Jerico Bautista Ogaya, Don Eliseo Lucero-Prisno

“…This paper delves into the epidemiology, clinical features, and transmission patterns of OROV, shedding light on the difficulties in diagnosing and managing the disease. …”
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An interpretable coupled model (SWAT-STFT) for multispatial-multistep evapotranspiration prediction in the river basin by Zhonghui Guo, Chang Feng, Liu Yang, Qing Liu

“…Additionally, the coupled model's SSTI leveraged model-internal attention weights to provide new insights into further understanding watershed ET spatiotemporal mechanisms. The feature global interpretation results revealed that meteorological features served as ET dominant drivers in time-varying features (48 % importance), followed by land use features (35 %), while soil features (64 %) dominated static features. …”
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DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…Nevertheless, when dealing with long wind-power sequences, their quadratic computational complexity (O(L²)) leads to low efficiency, and their global attention mechanism often fails to capture local periodic features accurately, tending to overemphasize redundant information while overlooking key temporal patterns. …”
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Deep learning for video-based assessment of endotracheal intubation skills by Jean-Paul Ainam, Erim Yanik, Rahul Rahul, Taylor Kunkes, Lora Cavuoto, Brian Clemency, Kaori Tanaka, Matthew Hackett, Jack Norfleet, Suvranu De

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Comparative Study of Rheological Properties of Gels and Creams on Different Carrier Bases by U. V. Nogaeva, A. A. Naumova, A. G. Novinkov, E. V. Flisyuk, M. A. Burakova, A. N. Shikov, O. N. Abrosimova

“…Study of the main rheological parameters of the developed gels and creams on various carrier bases.Materials and methods. …”
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Short and Medium-Term Power Load Anomaly Detection Method Based on Convolutional Neural Network and EL-DCC by Zhipeng Li, Shaobo Liu, Yang Zhang, Zhaowei Wang, Lu Wang, Lu Huang

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Leveraging open source land use and land cover data for urban and regional planning in transforming areas by Florian Klopfer, Dietwald Gruehn

“…We show spatially differentiated patterns of combined ES pronunciation, constraints for settlement development, and the suitability for the mentioned land use categories being meaningful in both the detailed and the reduced representation. …”
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Multi-tool copy number detection highlights common body size-associated variants in miniature pig breeds from different geographical regions by Jan Berghöfer, Nadia Khaveh, Stefan Mundlos, Julia Metzger

“…Conclusion This investigation of the CNV landscape of minipigs underlines the impact of selective breeding on structural variants and its role in the development of specific breed phenotypes across geographical areas. …”
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Progress in research on the effects of environmental factors on natural forest regeneration by Jiabo Liu

“…Current studies indicate that the natural forest regeneration process is influenced by a multitude of environmental factors, including light availability, water resources, wind patterns, soil properties, geography features and groundcover. …”
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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery by Fouad Trad, Bassel Isber, Ryan Yammine, Khaled Hatoum, Dana Obeid, Mohammad Chahine, Rachid Haidar, Ghada El-Hajj Fuleihan, Ali Chehab

“…After modeling, we derived feature importance for each of the two models and decreased the number of features to reach a parsimonious highly performing model. …”
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Advancement of a diagnostic prediction model for spatiotemporal calibration of earth observation data: a case study on projecting forest net primary production in the mid-latitude... by Eunbeen Park, Hyun-Woo Jo, Gregory Scott Biging, Jong Ahn Chun, Seong Woo Jeon, Yowhan Son, Florian Kraxner, Woo-Kyun Lee

“…Developing a precise and interpretable spatiotemporal model is need for establishing evidence-based adaptation strategies on climate change-driven disasters. …”
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Ornamental Plant Growth in Different Culture Conditions and Fluoride and Chloride Removals with Constructed Wetlands by José Luis Marín-Muñiz, María E. Hernández, Sergio Zamora Castro

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A Study on the Spatiotemporal Heterogeneity and Driving Forces of Ecological Resilience in the Economic Belt on the Northern Slope of the Tianshan Mountains by Keqi Li, Qingwu Yan, Zihao Wu, Guie Li, Minghao Yi, Xiaosong Ma

“…The overall distribution pattern exhibited a spatial feature of south higher, north lower, where the southern region displayed a clear high-high clustering characteristic, exerting a positive and radiating influence on surrounding areas. (2) The main driving factors of the spatial heterogeneity are DEM, precipitation, NPP, GDP, and PM2.5. …”
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